A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects
Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the ext...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bribiesca, Ernesto [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: SN Computer Science - Singapore : Springer Singapore, 2020, 2(2021), 3 vom: 15. März |
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| Übergeordnetes Werk: |
volume:2 ; year:2021 ; number:3 ; day:15 ; month:03 |
| Links: |
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| DOI / URN: |
10.1007/s42979-021-00565-0 |
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| Katalog-ID: |
SPR043511430 |
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| 100 | 1 | |a Bribiesca, Ernesto |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects |
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| 520 | |a Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. | ||
| 650 | 4 | |a Measure of tortuosity |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Enclosing surface areas |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Contact surface areas |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Total surface areas |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Medical imaging |7 (dpeaa)DE-He213 | |
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10.1007/s42979-021-00565-0 doi (DE-627)SPR043511430 (DE-599)SPRs42979-021-00565-0-e (SPR)s42979-021-00565-0-e DE-627 ger DE-627 rakwb eng Bribiesca, Ernesto verfasserin aut A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. Measure of tortuosity (dpeaa)DE-He213 Enclosing surface areas (dpeaa)DE-He213 Contact surface areas (dpeaa)DE-He213 Total surface areas (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 2(2021), 3 vom: 15. März (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:2 year:2021 number:3 day:15 month:03 https://dx.doi.org/10.1007/s42979-021-00565-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 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_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_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_2118 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_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 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 2 2021 3 15 03 |
| spelling |
10.1007/s42979-021-00565-0 doi (DE-627)SPR043511430 (DE-599)SPRs42979-021-00565-0-e (SPR)s42979-021-00565-0-e DE-627 ger DE-627 rakwb eng Bribiesca, Ernesto verfasserin aut A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. Measure of tortuosity (dpeaa)DE-He213 Enclosing surface areas (dpeaa)DE-He213 Contact surface areas (dpeaa)DE-He213 Total surface areas (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 2(2021), 3 vom: 15. März (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:2 year:2021 number:3 day:15 month:03 https://dx.doi.org/10.1007/s42979-021-00565-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 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_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_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_2118 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_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 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 2 2021 3 15 03 |
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10.1007/s42979-021-00565-0 doi (DE-627)SPR043511430 (DE-599)SPRs42979-021-00565-0-e (SPR)s42979-021-00565-0-e DE-627 ger DE-627 rakwb eng Bribiesca, Ernesto verfasserin aut A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. Measure of tortuosity (dpeaa)DE-He213 Enclosing surface areas (dpeaa)DE-He213 Contact surface areas (dpeaa)DE-He213 Total surface areas (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 2(2021), 3 vom: 15. März (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:2 year:2021 number:3 day:15 month:03 https://dx.doi.org/10.1007/s42979-021-00565-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 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_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_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_2118 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_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 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 2 2021 3 15 03 |
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10.1007/s42979-021-00565-0 doi (DE-627)SPR043511430 (DE-599)SPRs42979-021-00565-0-e (SPR)s42979-021-00565-0-e DE-627 ger DE-627 rakwb eng Bribiesca, Ernesto verfasserin aut A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. Measure of tortuosity (dpeaa)DE-He213 Enclosing surface areas (dpeaa)DE-He213 Contact surface areas (dpeaa)DE-He213 Total surface areas (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 2(2021), 3 vom: 15. März (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:2 year:2021 number:3 day:15 month:03 https://dx.doi.org/10.1007/s42979-021-00565-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 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_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_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_2118 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_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 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 2 2021 3 15 03 |
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10.1007/s42979-021-00565-0 doi (DE-627)SPR043511430 (DE-599)SPRs42979-021-00565-0-e (SPR)s42979-021-00565-0-e DE-627 ger DE-627 rakwb eng Bribiesca, Ernesto verfasserin aut A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. Measure of tortuosity (dpeaa)DE-He213 Enclosing surface areas (dpeaa)DE-He213 Contact surface areas (dpeaa)DE-He213 Total surface areas (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 2(2021), 3 vom: 15. März (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:2 year:2021 number:3 day:15 month:03 https://dx.doi.org/10.1007/s42979-021-00565-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 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_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_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_2118 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_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 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 2 2021 3 15 03 |
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Enthalten in SN Computer Science 2(2021), 3 vom: 15. März volume:2 year:2021 number:3 day:15 month:03 |
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Bribiesca, Ernesto |
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A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects Measure of tortuosity (dpeaa)DE-He213 Enclosing surface areas (dpeaa)DE-He213 Contact surface areas (dpeaa)DE-He213 Total surface areas (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 |
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measure of tortuosity for enclosing surfaces of voxel-based objects |
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A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects |
| abstract |
Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. |
| abstractGer |
Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. |
| abstract_unstemmed |
Abstract An easy measure of tortuosity for enclosing surfaces of 3D objects composed of face-connect voxels is presented. We consider that any 3D object composed of face-connected voxels has three implicit surface areas: the enclosing surface area, that corresponds to the sum of the areas of the external plane faces of the voxels which form the visible faces of the solid; the contact surface area that corresponds to the sum of the areas of the contact surfaces which are common to two voxels; and total surface area that corresponds to the sum of all the surface areas of the faces of the all voxels of the solid. The relation among these different surface areas allowed us to define the proposed measure of tortuosity for enclosing surfaces of voxel-based objects. The measure proposed here of tortuosity is invariant under translation, rotation, scaling, and mirror and rotational symmetries. This measure of tortuosity is preserved at different resolutions and is valid for objects holding holes and tunnels. Also, the proposed measure of tortuosity is normalized into a continuous range from 0 to 1 which allows us to improve the object classification. Thus, the minimum and maximum values of tortuosity for enclosing surfaces of voxel-based objects are described. Different families of particular objects are generated based on the above-mentioned concepts. Finally, we present the computation of tortuosity of different kind of voxel-based objects from the real world including examples of brain structures. |
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A Measure of Tortuosity for Enclosing Surfaces of Voxel-Based Objects |
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https://dx.doi.org/10.1007/s42979-021-00565-0 |
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10.1007/s42979-021-00565-0 |
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2024-07-03T19:08:34.125Z |
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