3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection
Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of poin...
Ausführliche Beschreibung
Autor*in: |
Khaleel, Hasan H. [verfasserIn] Rahmat, Rahmita O. K. [verfasserIn] Zamrin, D. M. [verfasserIn] Mahmod, Ramlan [verfasserIn] Mustapha, Norwati [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: The Arabian journal for science and engineering - Berlin : Springer, 2011, 39(2013), 3 vom: 07. Sept., Seite 1749-1773 |
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Übergeordnetes Werk: |
volume:39 ; year:2013 ; number:3 ; day:07 ; month:09 ; pages:1749-1773 |
Links: |
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DOI / URN: |
10.1007/s13369-013-0775-y |
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Katalog-ID: |
SPR03179517X |
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520 | |a Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. | ||
650 | 4 | |a 3D surface reconstruction |7 (dpeaa)DE-He213 | |
650 | 4 | |a Poisson surface reconstruction |7 (dpeaa)DE-He213 | |
650 | 4 | |a Oriented surfaces |7 (dpeaa)DE-He213 | |
650 | 4 | |a 3D coronary artery tree |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cloud of points |7 (dpeaa)DE-He213 | |
700 | 1 | |a Rahmat, Rahmita O. K. |e verfasserin |4 aut | |
700 | 1 | |a Zamrin, D. M. |e verfasserin |4 aut | |
700 | 1 | |a Mahmod, Ramlan |e verfasserin |4 aut | |
700 | 1 | |a Mustapha, Norwati |e verfasserin |4 aut | |
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10.1007/s13369-013-0775-y doi (DE-627)SPR03179517X (SPR)s13369-013-0775-y-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Khaleel, Hasan H. verfasserin aut 3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. 3D surface reconstruction (dpeaa)DE-He213 Poisson surface reconstruction (dpeaa)DE-He213 Oriented surfaces (dpeaa)DE-He213 3D coronary artery tree (dpeaa)DE-He213 Cloud of points (dpeaa)DE-He213 Rahmat, Rahmita O. K. verfasserin aut Zamrin, D. M. verfasserin aut Mahmod, Ramlan verfasserin aut Mustapha, Norwati verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 39(2013), 3 vom: 07. Sept., Seite 1749-1773 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:39 year:2013 number:3 day:07 month:09 pages:1749-1773 https://dx.doi.org/10.1007/s13369-013-0775-y 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_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 31.00 ASE AR 39 2013 3 07 09 1749-1773 |
spelling |
10.1007/s13369-013-0775-y doi (DE-627)SPR03179517X (SPR)s13369-013-0775-y-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Khaleel, Hasan H. verfasserin aut 3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. 3D surface reconstruction (dpeaa)DE-He213 Poisson surface reconstruction (dpeaa)DE-He213 Oriented surfaces (dpeaa)DE-He213 3D coronary artery tree (dpeaa)DE-He213 Cloud of points (dpeaa)DE-He213 Rahmat, Rahmita O. K. verfasserin aut Zamrin, D. M. verfasserin aut Mahmod, Ramlan verfasserin aut Mustapha, Norwati verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 39(2013), 3 vom: 07. Sept., Seite 1749-1773 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:39 year:2013 number:3 day:07 month:09 pages:1749-1773 https://dx.doi.org/10.1007/s13369-013-0775-y 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_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 31.00 ASE AR 39 2013 3 07 09 1749-1773 |
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10.1007/s13369-013-0775-y doi (DE-627)SPR03179517X (SPR)s13369-013-0775-y-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Khaleel, Hasan H. verfasserin aut 3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. 3D surface reconstruction (dpeaa)DE-He213 Poisson surface reconstruction (dpeaa)DE-He213 Oriented surfaces (dpeaa)DE-He213 3D coronary artery tree (dpeaa)DE-He213 Cloud of points (dpeaa)DE-He213 Rahmat, Rahmita O. K. verfasserin aut Zamrin, D. M. verfasserin aut Mahmod, Ramlan verfasserin aut Mustapha, Norwati verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 39(2013), 3 vom: 07. Sept., Seite 1749-1773 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:39 year:2013 number:3 day:07 month:09 pages:1749-1773 https://dx.doi.org/10.1007/s13369-013-0775-y 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_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 31.00 ASE AR 39 2013 3 07 09 1749-1773 |
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10.1007/s13369-013-0775-y doi (DE-627)SPR03179517X (SPR)s13369-013-0775-y-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Khaleel, Hasan H. verfasserin aut 3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. 3D surface reconstruction (dpeaa)DE-He213 Poisson surface reconstruction (dpeaa)DE-He213 Oriented surfaces (dpeaa)DE-He213 3D coronary artery tree (dpeaa)DE-He213 Cloud of points (dpeaa)DE-He213 Rahmat, Rahmita O. K. verfasserin aut Zamrin, D. M. verfasserin aut Mahmod, Ramlan verfasserin aut Mustapha, Norwati verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 39(2013), 3 vom: 07. Sept., Seite 1749-1773 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:39 year:2013 number:3 day:07 month:09 pages:1749-1773 https://dx.doi.org/10.1007/s13369-013-0775-y 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_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 31.00 ASE AR 39 2013 3 07 09 1749-1773 |
allfieldsSound |
10.1007/s13369-013-0775-y doi (DE-627)SPR03179517X (SPR)s13369-013-0775-y-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Khaleel, Hasan H. verfasserin aut 3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. 3D surface reconstruction (dpeaa)DE-He213 Poisson surface reconstruction (dpeaa)DE-He213 Oriented surfaces (dpeaa)DE-He213 3D coronary artery tree (dpeaa)DE-He213 Cloud of points (dpeaa)DE-He213 Rahmat, Rahmita O. K. verfasserin aut Zamrin, D. M. verfasserin aut Mahmod, Ramlan verfasserin aut Mustapha, Norwati verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 39(2013), 3 vom: 07. Sept., Seite 1749-1773 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:39 year:2013 number:3 day:07 month:09 pages:1749-1773 https://dx.doi.org/10.1007/s13369-013-0775-y 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_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 31.00 ASE AR 39 2013 3 07 09 1749-1773 |
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Enthalten in The Arabian journal for science and engineering 39(2013), 3 vom: 07. Sept., Seite 1749-1773 volume:39 year:2013 number:3 day:07 month:09 pages:1749-1773 |
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3D surface reconstruction Poisson surface reconstruction Oriented surfaces 3D coronary artery tree Cloud of points |
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Khaleel, Hasan H. @@aut@@ Rahmat, Rahmita O. K. @@aut@@ Zamrin, D. M. @@aut@@ Mahmod, Ramlan @@aut@@ Mustapha, Norwati @@aut@@ |
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The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. 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|
author |
Khaleel, Hasan H. |
spellingShingle |
Khaleel, Hasan H. ddc 600 bkl 31.00 misc 3D surface reconstruction misc Poisson surface reconstruction misc Oriented surfaces misc 3D coronary artery tree misc Cloud of points 3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection |
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600 500 ASE 31.00 bkl 3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection 3D surface reconstruction (dpeaa)DE-He213 Poisson surface reconstruction (dpeaa)DE-He213 Oriented surfaces (dpeaa)DE-He213 3D coronary artery tree (dpeaa)DE-He213 Cloud of points (dpeaa)DE-He213 |
topic |
ddc 600 bkl 31.00 misc 3D surface reconstruction misc Poisson surface reconstruction misc Oriented surfaces misc 3D coronary artery tree misc Cloud of points |
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ddc 600 bkl 31.00 misc 3D surface reconstruction misc Poisson surface reconstruction misc Oriented surfaces misc 3D coronary artery tree misc Cloud of points |
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3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection |
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3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection |
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Khaleel, Hasan H. |
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Khaleel, Hasan H. Rahmat, Rahmita O. K. Zamrin, D. M. Mahmod, Ramlan Mustapha, Norwati |
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3d surface reconstruction of coronary artery trees for vessel locations’ detection |
title_auth |
3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection |
abstract |
Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. |
abstractGer |
Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. |
abstract_unstemmed |
Abstract Surface reconstruction is rarely been investigated to reconstruct 3D surfaces from data obtained from the internal human body organs. The 3D cloud of points can view objects in R3 space, however, it will not clearly demonstrate the curvatures of the outside of objects. Our 3D clouds of points are obtained from coronary artery trees. Each single-view angiogram can produce a 3D coronary artery tree. An approach to reconstruct 3D-oriented surfaces of 3D coronary artery trees is proposed. The approach leverages the Poisson problem for 3D surfaces from oriented data. The approach does not require the establishment of topological relations between adjacent points and involves no implicit parameter fitting. The approach consists of three stages: first, calculation of Euclidean distances between the clouds of points. Second, 3D-oriented data structuring. Finally, Poisson surface reconstruction of the 3D-oriented data (oriented cloud of points). An additional stage is added to measure the curvatures inside the 3D surfaces. Experimental evaluation has been done to raw of clinical data sets and results revealed that the proposed approach is efficient to reconstruct 3D surfaces of coronary artery trees. Results show that our proposed approach has high robustness for a variety of 3D cloud of points. The output surface can clearly display all the details and curvatures of the cloud of points. Our proposed algorithm of surface reconstruction plus the curvatures estimation is able to automatically indicate the locations of arteries and warn specialists of any abnormal medical cases of artery’s penetration inside the heart. |
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title_short |
3D Surface Reconstruction of Coronary Artery Trees for Vessel Locations’ Detection |
url |
https://dx.doi.org/10.1007/s13369-013-0775-y |
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Rahmat, Rahmita O. K. Zamrin, D. M. Mahmod, Ramlan Mustapha, Norwati |
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Rahmat, Rahmita O. K. Zamrin, D. M. Mahmod, Ramlan Mustapha, Norwati |
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doi_str |
10.1007/s13369-013-0775-y |
up_date |
2024-07-04T01:16:20.840Z |
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|
score |
7.400694 |