CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering
Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becom...
Ausführliche Beschreibung
Autor*in: |
Rowe, Steven P. [verfasserIn] Fritz, Jan [verfasserIn] Fishman, Elliot K. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Emergency radiology - Heidelberg : Springer, 1994, 25(2017), 1 vom: 12. Sept., Seite 93-101 |
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Übergeordnetes Werk: |
volume:25 ; year:2017 ; number:1 ; day:12 ; month:09 ; pages:93-101 |
Links: |
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DOI / URN: |
10.1007/s10140-017-1553-z |
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Katalog-ID: |
SPR00886201X |
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520 | |a Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. | ||
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700 | 1 | |a Fishman, Elliot K. |e verfasserin |4 aut | |
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10.1007/s10140-017-1553-z doi (DE-627)SPR00886201X (SPR)s10140-017-1553-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Rowe, Steven P. verfasserin aut CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. Cinematic rendering (dpeaa)DE-He213 3D (dpeaa)DE-He213 Computed tomography (dpeaa)DE-He213 MDCT (dpeaa)DE-He213 Trauma (dpeaa)DE-He213 Fritz, Jan verfasserin aut Fishman, Elliot K. verfasserin aut Enthalten in Emergency radiology Heidelberg : Springer, 1994 25(2017), 1 vom: 12. Sept., Seite 93-101 (DE-627)271599332 (DE-600)1480928-X 1438-1435 nnns volume:25 year:2017 number:1 day:12 month:09 pages:93-101 https://dx.doi.org/10.1007/s10140-017-1553-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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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 44.64 ASE AR 25 2017 1 12 09 93-101 |
spelling |
10.1007/s10140-017-1553-z doi (DE-627)SPR00886201X (SPR)s10140-017-1553-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Rowe, Steven P. verfasserin aut CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. Cinematic rendering (dpeaa)DE-He213 3D (dpeaa)DE-He213 Computed tomography (dpeaa)DE-He213 MDCT (dpeaa)DE-He213 Trauma (dpeaa)DE-He213 Fritz, Jan verfasserin aut Fishman, Elliot K. verfasserin aut Enthalten in Emergency radiology Heidelberg : Springer, 1994 25(2017), 1 vom: 12. Sept., Seite 93-101 (DE-627)271599332 (DE-600)1480928-X 1438-1435 nnns volume:25 year:2017 number:1 day:12 month:09 pages:93-101 https://dx.doi.org/10.1007/s10140-017-1553-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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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 44.64 ASE AR 25 2017 1 12 09 93-101 |
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10.1007/s10140-017-1553-z doi (DE-627)SPR00886201X (SPR)s10140-017-1553-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Rowe, Steven P. verfasserin aut CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. Cinematic rendering (dpeaa)DE-He213 3D (dpeaa)DE-He213 Computed tomography (dpeaa)DE-He213 MDCT (dpeaa)DE-He213 Trauma (dpeaa)DE-He213 Fritz, Jan verfasserin aut Fishman, Elliot K. verfasserin aut Enthalten in Emergency radiology Heidelberg : Springer, 1994 25(2017), 1 vom: 12. Sept., Seite 93-101 (DE-627)271599332 (DE-600)1480928-X 1438-1435 nnns volume:25 year:2017 number:1 day:12 month:09 pages:93-101 https://dx.doi.org/10.1007/s10140-017-1553-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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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 44.64 ASE AR 25 2017 1 12 09 93-101 |
allfieldsGer |
10.1007/s10140-017-1553-z doi (DE-627)SPR00886201X (SPR)s10140-017-1553-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Rowe, Steven P. verfasserin aut CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. Cinematic rendering (dpeaa)DE-He213 3D (dpeaa)DE-He213 Computed tomography (dpeaa)DE-He213 MDCT (dpeaa)DE-He213 Trauma (dpeaa)DE-He213 Fritz, Jan verfasserin aut Fishman, Elliot K. verfasserin aut Enthalten in Emergency radiology Heidelberg : Springer, 1994 25(2017), 1 vom: 12. Sept., Seite 93-101 (DE-627)271599332 (DE-600)1480928-X 1438-1435 nnns volume:25 year:2017 number:1 day:12 month:09 pages:93-101 https://dx.doi.org/10.1007/s10140-017-1553-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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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 44.64 ASE AR 25 2017 1 12 09 93-101 |
allfieldsSound |
10.1007/s10140-017-1553-z doi (DE-627)SPR00886201X (SPR)s10140-017-1553-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Rowe, Steven P. verfasserin aut CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. Cinematic rendering (dpeaa)DE-He213 3D (dpeaa)DE-He213 Computed tomography (dpeaa)DE-He213 MDCT (dpeaa)DE-He213 Trauma (dpeaa)DE-He213 Fritz, Jan verfasserin aut Fishman, Elliot K. verfasserin aut Enthalten in Emergency radiology Heidelberg : Springer, 1994 25(2017), 1 vom: 12. Sept., Seite 93-101 (DE-627)271599332 (DE-600)1480928-X 1438-1435 nnns volume:25 year:2017 number:1 day:12 month:09 pages:93-101 https://dx.doi.org/10.1007/s10140-017-1553-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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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 44.64 ASE AR 25 2017 1 12 09 93-101 |
language |
English |
source |
Enthalten in Emergency radiology 25(2017), 1 vom: 12. Sept., Seite 93-101 volume:25 year:2017 number:1 day:12 month:09 pages:93-101 |
sourceStr |
Enthalten in Emergency radiology 25(2017), 1 vom: 12. Sept., Seite 93-101 volume:25 year:2017 number:1 day:12 month:09 pages:93-101 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Cinematic rendering 3D Computed tomography MDCT Trauma |
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610 |
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false |
container_title |
Emergency radiology |
authorswithroles_txt_mv |
Rowe, Steven P. @@aut@@ Fritz, Jan @@aut@@ Fishman, Elliot K. @@aut@@ |
publishDateDaySort_date |
2017-09-12T00:00:00Z |
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271599332 |
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3610 |
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Rowe, Steven P. |
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Rowe, Steven P. ddc 610 bkl 44.64 misc Cinematic rendering misc 3D misc Computed tomography misc MDCT misc Trauma CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering |
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610 ASE 44.64 bkl CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering Cinematic rendering (dpeaa)DE-He213 3D (dpeaa)DE-He213 Computed tomography (dpeaa)DE-He213 MDCT (dpeaa)DE-He213 Trauma (dpeaa)DE-He213 |
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ct evaluation of musculoskeletal trauma: initial experience with cinematic rendering |
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CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering |
abstract |
Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. |
abstractGer |
Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. |
abstract_unstemmed |
Abstract Multi-detector computed tomography (MDCT) scanners that can quickly acquire volumetric datasets composed of isotropic voxels laid the groundwork for the widespread clinical implementation of 3D MDCT reconstructions, with maximum intensity projection (MIP) and volumetric rendering (VR) becoming important parts of the imaging evaluation of patients with a wide variety of pathologic conditions. Recently, a new 3D reconstruction technique known as cinematic rendering (CR) has become available and is now U.S. FDA approved. CR bears fundamental similarities to VR, but utilizes a more complex lighting model to bring about photorealistic reconstructions. While a tremendous amount of work remains to be done in order to understand the advantages and disadvantages of CR in comparison to traditional 3D reconstruction methods, the images themselves are strikingly detailed and can be interactively manipulated to highlight a variety of different tissue types and anatomic structures. In the following pictorial essay, we provide a number of clinical examples of the use of CR in musculoskeletal imaging, including the evaluation of complex fractures, the delineation of the relationship of fractures to adjacent vasculature and overlying soft tissues, and the visualization of vascular and soft tissue injuries. |
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title_short |
CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering |
url |
https://dx.doi.org/10.1007/s10140-017-1553-z |
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author2 |
Fritz, Jan Fishman, Elliot K. |
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Fritz, Jan Fishman, Elliot K. |
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doi_str |
10.1007/s10140-017-1553-z |
up_date |
2024-07-03T23:33:17.614Z |
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score |
7.400609 |