Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements
Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Prince, Shanthi [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Optical Society of India 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of optics - [New Delhi] : Springer India, 1972, 41(2012), 3 vom: 22. Mai, Seite 134-141 |
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| Übergeordnetes Werk: |
volume:41 ; year:2012 ; number:3 ; day:22 ; month:05 ; pages:134-141 |
| Links: |
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| DOI / URN: |
10.1007/s12596-012-0072-2 |
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SPR02622996X |
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| 520 | |a Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. | ||
| 650 | 4 | |a Diffuse reflectance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Functional imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Multispectral imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Optical imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Optical properties |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Spectroscopy |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Tripathi, Sandeep Mani |4 aut | |
| 700 | 1 | |a Kumar, Vikash |4 aut | |
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10.1007/s12596-012-0072-2 doi (DE-627)SPR02622996X (SPR)s12596-012-0072-2-e DE-627 ger DE-627 rakwb eng Prince, Shanthi verfasserin aut Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Optical Society of India 2012 Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. Diffuse reflectance (dpeaa)DE-He213 Functional imaging (dpeaa)DE-He213 Multispectral imaging (dpeaa)DE-He213 Optical imaging (dpeaa)DE-He213 Optical properties (dpeaa)DE-He213 Spectroscopy (dpeaa)DE-He213 Tripathi, Sandeep Mani aut Kumar, Vikash aut Enthalten in Journal of optics [New Delhi] : Springer India, 1972 41(2012), 3 vom: 22. Mai, Seite 134-141 (DE-627)616732775 (DE-600)2533862-6 0974-6900 nnns volume:41 year:2012 number:3 day:22 month:05 pages:134-141 https://dx.doi.org/10.1007/s12596-012-0072-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2012 3 22 05 134-141 |
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10.1007/s12596-012-0072-2 doi (DE-627)SPR02622996X (SPR)s12596-012-0072-2-e DE-627 ger DE-627 rakwb eng Prince, Shanthi verfasserin aut Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Optical Society of India 2012 Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. Diffuse reflectance (dpeaa)DE-He213 Functional imaging (dpeaa)DE-He213 Multispectral imaging (dpeaa)DE-He213 Optical imaging (dpeaa)DE-He213 Optical properties (dpeaa)DE-He213 Spectroscopy (dpeaa)DE-He213 Tripathi, Sandeep Mani aut Kumar, Vikash aut Enthalten in Journal of optics [New Delhi] : Springer India, 1972 41(2012), 3 vom: 22. Mai, Seite 134-141 (DE-627)616732775 (DE-600)2533862-6 0974-6900 nnns volume:41 year:2012 number:3 day:22 month:05 pages:134-141 https://dx.doi.org/10.1007/s12596-012-0072-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2012 3 22 05 134-141 |
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10.1007/s12596-012-0072-2 doi (DE-627)SPR02622996X (SPR)s12596-012-0072-2-e DE-627 ger DE-627 rakwb eng Prince, Shanthi verfasserin aut Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Optical Society of India 2012 Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. Diffuse reflectance (dpeaa)DE-He213 Functional imaging (dpeaa)DE-He213 Multispectral imaging (dpeaa)DE-He213 Optical imaging (dpeaa)DE-He213 Optical properties (dpeaa)DE-He213 Spectroscopy (dpeaa)DE-He213 Tripathi, Sandeep Mani aut Kumar, Vikash aut Enthalten in Journal of optics [New Delhi] : Springer India, 1972 41(2012), 3 vom: 22. Mai, Seite 134-141 (DE-627)616732775 (DE-600)2533862-6 0974-6900 nnns volume:41 year:2012 number:3 day:22 month:05 pages:134-141 https://dx.doi.org/10.1007/s12596-012-0072-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2012 3 22 05 134-141 |
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10.1007/s12596-012-0072-2 doi (DE-627)SPR02622996X (SPR)s12596-012-0072-2-e DE-627 ger DE-627 rakwb eng Prince, Shanthi verfasserin aut Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Optical Society of India 2012 Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. Diffuse reflectance (dpeaa)DE-He213 Functional imaging (dpeaa)DE-He213 Multispectral imaging (dpeaa)DE-He213 Optical imaging (dpeaa)DE-He213 Optical properties (dpeaa)DE-He213 Spectroscopy (dpeaa)DE-He213 Tripathi, Sandeep Mani aut Kumar, Vikash aut Enthalten in Journal of optics [New Delhi] : Springer India, 1972 41(2012), 3 vom: 22. Mai, Seite 134-141 (DE-627)616732775 (DE-600)2533862-6 0974-6900 nnns volume:41 year:2012 number:3 day:22 month:05 pages:134-141 https://dx.doi.org/10.1007/s12596-012-0072-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2012 3 22 05 134-141 |
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10.1007/s12596-012-0072-2 doi (DE-627)SPR02622996X (SPR)s12596-012-0072-2-e DE-627 ger DE-627 rakwb eng Prince, Shanthi verfasserin aut Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Optical Society of India 2012 Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. Diffuse reflectance (dpeaa)DE-He213 Functional imaging (dpeaa)DE-He213 Multispectral imaging (dpeaa)DE-He213 Optical imaging (dpeaa)DE-He213 Optical properties (dpeaa)DE-He213 Spectroscopy (dpeaa)DE-He213 Tripathi, Sandeep Mani aut Kumar, Vikash aut Enthalten in Journal of optics [New Delhi] : Springer India, 1972 41(2012), 3 vom: 22. Mai, Seite 134-141 (DE-627)616732775 (DE-600)2533862-6 0974-6900 nnns volume:41 year:2012 number:3 day:22 month:05 pages:134-141 https://dx.doi.org/10.1007/s12596-012-0072-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2012 3 22 05 134-141 |
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Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diffuse reflectance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Functional imaging</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multispectral imaging</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optical imaging</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optical properties</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spectroscopy</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tripathi, Sandeep Mani</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kumar, Vikash</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of optics</subfield><subfield code="d">[New Delhi] : Springer India, 1972</subfield><subfield code="g">41(2012), 3 vom: 22. 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Prince, Shanthi |
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multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements |
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Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements |
| abstract |
Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. © Optical Society of India 2012 |
| abstractGer |
Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. © Optical Society of India 2012 |
| abstract_unstemmed |
Abstract The ability to non-invasively detect early disease is a boon to the patients as well as the medical professionals. Diffuse reflectance spectroscopy can provide quantitative biochemical and morphological information for tissue characterization. The diffuse reflectance data is influenced by the functional state of matter, which affects the optical properties. White light is used to measure these changes in optical properties which in turn give an idea about the region under scan. Optical imaging has been gaining importance especially in medical field. An optical fibre spectrometer is set up to obtain the reflectance data. Reflectance probe is mounted on a movable mechanism with two degrees of freedom which is controlled by a Programmable Logic Control (PLC) unit. PLC unit contains Human-Machine interface (HMI) to feed in manually the dimension of the area to be scanned, scan speed (thereby resolution) with which scanner arm is to be moved. This automation could avoid overlapping of data during scanning. Codes are written in MATLAB to display the direct reflected intensity images, functional images and multispectral images. The reflected intensity images give the structural details of the region under scan. The functional imaging enables to measure the physiological changes (change in molar concentrations of oxy-hemoglobin, deoxy-hemoglobin and oxygenation state) in tissue under diseased conditions. The multispectral imaging helps to visualize the changes in the optical properties of tissues at any particular wavelength underneath the region of scan in turn, aiding in disease diagnosis. The unique information obtained from the diffuse reflectance spectroscopy makes it suitable for a variety of clinical applications. This method helps us realize the characteristics of non-invasiveness, combined with speed, accuracy and repeatability in the process of diagnosis of various skin diseases. Optical techniques have the potential for performing in vivo diagnosis on tissue without the need for sample excision and processing. © Optical Society of India 2012 |
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Multispectral in vivo finger reflectance and functional imaging based on diffuse reflectance measurements |
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Tripathi, Sandeep Mani Kumar, Vikash |
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| score |
7.3995867 |