Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT
Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hosaka, Kayo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2004 |
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| Schlagwörter: |
Positron Emission Tomography Image Positron Emission Tomography Study |
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| Anmerkung: |
© Springer-Verlag 2004 |
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| Übergeordnetes Werk: |
Enthalten in: European journal of nuclear medicine and molecular imaging - Heidelberg [u.a.] : Springer-Verl., 2002, 32(2004), 1 vom: 21. Aug., Seite 92-97 |
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| Übergeordnetes Werk: |
volume:32 ; year:2004 ; number:1 ; day:21 ; month:08 ; pages:92-97 |
| Links: |
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| DOI / URN: |
10.1007/s00259-004-1576-z |
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SPR003117499 |
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| 245 | 1 | 0 | |a Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT |
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| 520 | |a Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. | ||
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| 650 | 4 | |a Positron Emission Tomography Study |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Statistical Parametric Mapping |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Sylvian Fissure |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Ishii, Kazunari |4 aut | |
| 700 | 1 | |a Sakamoto, Setsu |4 aut | |
| 700 | 1 | |a Sadato, Norihiro |4 aut | |
| 700 | 1 | |a Fukuda, Hiroshi |4 aut | |
| 700 | 1 | |a Kato, Takashi |4 aut | |
| 700 | 1 | |a Sugimura, Kazuro |4 aut | |
| 700 | 1 | |a Senda, Michio |4 aut | |
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10.1007/s00259-004-1576-z doi (DE-627)SPR003117499 (SPR)s00259-004-1576-z-e DE-627 ger DE-627 rakwb eng Hosaka, Kayo verfasserin aut Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2004 Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. Positron Emission Tomography (dpeaa)DE-He213 Positron Emission Tomography Image (dpeaa)DE-He213 Positron Emission Tomography Study (dpeaa)DE-He213 Statistical Parametric Mapping (dpeaa)DE-He213 Sylvian Fissure (dpeaa)DE-He213 Ishii, Kazunari aut Sakamoto, Setsu aut Sadato, Norihiro aut Fukuda, Hiroshi aut Kato, Takashi aut Sugimura, Kazuro aut Senda, Michio aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 32(2004), 1 vom: 21. Aug., Seite 92-97 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:32 year:2004 number:1 day:21 month:08 pages:92-97 https://dx.doi.org/10.1007/s00259-004-1576-z 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_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 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_2056 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2004 1 21 08 92-97 |
| spelling |
10.1007/s00259-004-1576-z doi (DE-627)SPR003117499 (SPR)s00259-004-1576-z-e DE-627 ger DE-627 rakwb eng Hosaka, Kayo verfasserin aut Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2004 Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. Positron Emission Tomography (dpeaa)DE-He213 Positron Emission Tomography Image (dpeaa)DE-He213 Positron Emission Tomography Study (dpeaa)DE-He213 Statistical Parametric Mapping (dpeaa)DE-He213 Sylvian Fissure (dpeaa)DE-He213 Ishii, Kazunari aut Sakamoto, Setsu aut Sadato, Norihiro aut Fukuda, Hiroshi aut Kato, Takashi aut Sugimura, Kazuro aut Senda, Michio aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 32(2004), 1 vom: 21. Aug., Seite 92-97 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:32 year:2004 number:1 day:21 month:08 pages:92-97 https://dx.doi.org/10.1007/s00259-004-1576-z 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_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 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_2056 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2004 1 21 08 92-97 |
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10.1007/s00259-004-1576-z doi (DE-627)SPR003117499 (SPR)s00259-004-1576-z-e DE-627 ger DE-627 rakwb eng Hosaka, Kayo verfasserin aut Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2004 Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. Positron Emission Tomography (dpeaa)DE-He213 Positron Emission Tomography Image (dpeaa)DE-He213 Positron Emission Tomography Study (dpeaa)DE-He213 Statistical Parametric Mapping (dpeaa)DE-He213 Sylvian Fissure (dpeaa)DE-He213 Ishii, Kazunari aut Sakamoto, Setsu aut Sadato, Norihiro aut Fukuda, Hiroshi aut Kato, Takashi aut Sugimura, Kazuro aut Senda, Michio aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 32(2004), 1 vom: 21. Aug., Seite 92-97 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:32 year:2004 number:1 day:21 month:08 pages:92-97 https://dx.doi.org/10.1007/s00259-004-1576-z 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_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 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_2056 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2004 1 21 08 92-97 |
| allfieldsGer |
10.1007/s00259-004-1576-z doi (DE-627)SPR003117499 (SPR)s00259-004-1576-z-e DE-627 ger DE-627 rakwb eng Hosaka, Kayo verfasserin aut Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2004 Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. Positron Emission Tomography (dpeaa)DE-He213 Positron Emission Tomography Image (dpeaa)DE-He213 Positron Emission Tomography Study (dpeaa)DE-He213 Statistical Parametric Mapping (dpeaa)DE-He213 Sylvian Fissure (dpeaa)DE-He213 Ishii, Kazunari aut Sakamoto, Setsu aut Sadato, Norihiro aut Fukuda, Hiroshi aut Kato, Takashi aut Sugimura, Kazuro aut Senda, Michio aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 32(2004), 1 vom: 21. Aug., Seite 92-97 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:32 year:2004 number:1 day:21 month:08 pages:92-97 https://dx.doi.org/10.1007/s00259-004-1576-z 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_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 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_2056 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2004 1 21 08 92-97 |
| allfieldsSound |
10.1007/s00259-004-1576-z doi (DE-627)SPR003117499 (SPR)s00259-004-1576-z-e DE-627 ger DE-627 rakwb eng Hosaka, Kayo verfasserin aut Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2004 Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. Positron Emission Tomography (dpeaa)DE-He213 Positron Emission Tomography Image (dpeaa)DE-He213 Positron Emission Tomography Study (dpeaa)DE-He213 Statistical Parametric Mapping (dpeaa)DE-He213 Sylvian Fissure (dpeaa)DE-He213 Ishii, Kazunari aut Sakamoto, Setsu aut Sadato, Norihiro aut Fukuda, Hiroshi aut Kato, Takashi aut Sugimura, Kazuro aut Senda, Michio aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 32(2004), 1 vom: 21. Aug., Seite 92-97 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:32 year:2004 number:1 day:21 month:08 pages:92-97 https://dx.doi.org/10.1007/s00259-004-1576-z 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_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 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_2056 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2004 1 21 08 92-97 |
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English |
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Enthalten in European journal of nuclear medicine and molecular imaging 32(2004), 1 vom: 21. Aug., Seite 92-97 volume:32 year:2004 number:1 day:21 month:08 pages:92-97 |
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Enthalten in European journal of nuclear medicine and molecular imaging 32(2004), 1 vom: 21. Aug., Seite 92-97 volume:32 year:2004 number:1 day:21 month:08 pages:92-97 |
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Article |
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findex.gbv.de |
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Positron Emission Tomography Positron Emission Tomography Image Positron Emission Tomography Study Statistical Parametric Mapping Sylvian Fissure |
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European journal of nuclear medicine and molecular imaging |
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Hosaka, Kayo @@aut@@ Ishii, Kazunari @@aut@@ Sakamoto, Setsu @@aut@@ Sadato, Norihiro @@aut@@ Fukuda, Hiroshi @@aut@@ Kato, Takashi @@aut@@ Sugimura, Kazuro @@aut@@ Senda, Michio @@aut@@ |
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2004-08-21T00:00:00Z |
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We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. 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Hosaka, Kayo |
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Hosaka, Kayo misc Positron Emission Tomography misc Positron Emission Tomography Image misc Positron Emission Tomography Study misc Statistical Parametric Mapping misc Sylvian Fissure Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT |
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Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT Positron Emission Tomography (dpeaa)DE-He213 Positron Emission Tomography Image (dpeaa)DE-He213 Positron Emission Tomography Study (dpeaa)DE-He213 Statistical Parametric Mapping (dpeaa)DE-He213 Sylvian Fissure (dpeaa)DE-He213 |
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Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT |
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Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT |
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Hosaka, Kayo Ishii, Kazunari Sakamoto, Setsu Sadato, Norihiro Fukuda, Hiroshi Kato, Takashi Sugimura, Kazuro Senda, Michio |
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Elektronische Aufsätze |
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Hosaka, Kayo |
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10.1007/s00259-004-1576-z |
| title_sort |
validation of anatomical standardization of fdg pet images of normal brain: comparison of spm and neurostat |
| title_auth |
Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT |
| abstract |
Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. © Springer-Verlag 2004 |
| abstractGer |
Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. © Springer-Verlag 2004 |
| abstract_unstemmed |
Purpose Statistical parametric mapping (SPM) and NEUROSTAT (NS) are widely used for intersubject statistical analysis of brain images. We investigated individual anatomical variations after standardization of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) images of normal brain and compared the differences in the standardized images obtained from SPM and NS. Methods Twenty healthy normal subjects were recruited for FDG PET and magnetic resonance imaging (MRI) studies. Sylvian fissures (SF), cingulate sulci (CingS) and central sulci (CtlS) were marked on the brain surface of each individual’s co-registered MR images. Then spatial standardization was performed on each subject’s PET images using SPM99 and NS with NS’s FDG template image, and each subject’s MR images (with the SF, CingS, and CtlS marked in advance) were standardized using the sets of parameters obtained from PET standardization by SPM and NS, respectively. The coordinates of each subject’s SF, CingS, and CtlS detected on the MR images standardized by the two methods were measured and compared with those on the template images. Results The mean individual deviations from the averaged coordinates for the markers on the SF, CingS and CtlS standardized by SPM and by NS were no more than 0.21–1.15 mm. The number of voxels within the brain volume on standardized MR images of all 20 subjects was 88.0% of the total number of brain volume voxels for SPM and 85.3% for NS. Conclusion This study demonstrates that SPM and NS yield relatively small differences in standardization and that both methods are effective and valid for PET studies in normal subjects. © Springer-Verlag 2004 |
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Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT |
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Ishii, Kazunari Sakamoto, Setsu Sadato, Norihiro Fukuda, Hiroshi Kato, Takashi Sugimura, Kazuro Senda, Michio |
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| score |
7.3976707 |