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Conference Paper: Visualization of liver in 3-D
Title | Visualization of liver in 3-D |
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Authors | |
Issue Date | 1991 |
Citation | Proceedings of SPIE - The International Society for Optical Engineering, 1991, v. 1444, p. 75-77 How to Cite? |
Abstract | Visualization of the liver in three dimensions (3-D) can improve the accuracy of volumetric estimation and also aid in surgical planning. We have developed a method for 3-D visualization of the liver using x-ray computed tomography (CT) or magnetic resonance (MR) images. This method includes four major components: (1) segmentation algorithms for extracting liver data from tomographic images; (2) interpolation techniques for both shape and intensity; (3) schemes for volume rendering and display, and (4) routines for electronic surgery and image analysis. This method has been applied to cases from a living-donor liver transplant project and appears to be useful for surgical planning. |
Persistent Identifier | http://hdl.handle.net/10722/315906 |
ISSN | 2023 SCImago Journal Rankings: 0.152 |
DC Field | Value | Language |
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dc.contributor.author | Chen, Chin Tu | - |
dc.contributor.author | Chou, Jin Shin | - |
dc.contributor.author | Giger, Maryellen L. | - |
dc.contributor.author | Kahn, Charles E. | - |
dc.contributor.author | Bae, Kyongtae | - |
dc.contributor.author | Lin, Wei Chung | - |
dc.date.accessioned | 2022-08-24T15:48:33Z | - |
dc.date.available | 2022-08-24T15:48:33Z | - |
dc.date.issued | 1991 | - |
dc.identifier.citation | Proceedings of SPIE - The International Society for Optical Engineering, 1991, v. 1444, p. 75-77 | - |
dc.identifier.issn | 0277-786X | - |
dc.identifier.uri | http://hdl.handle.net/10722/315906 | - |
dc.description.abstract | Visualization of the liver in three dimensions (3-D) can improve the accuracy of volumetric estimation and also aid in surgical planning. We have developed a method for 3-D visualization of the liver using x-ray computed tomography (CT) or magnetic resonance (MR) images. This method includes four major components: (1) segmentation algorithms for extracting liver data from tomographic images; (2) interpolation techniques for both shape and intensity; (3) schemes for volume rendering and display, and (4) routines for electronic surgery and image analysis. This method has been applied to cases from a living-donor liver transplant project and appears to be useful for surgical planning. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings of SPIE - The International Society for Optical Engineering | - |
dc.title | Visualization of liver in 3-D | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1117/12.45193 | - |
dc.identifier.scopus | eid_2-s2.0-0025885841 | - |
dc.identifier.volume | 1444 | - |
dc.identifier.spage | 75 | - |
dc.identifier.epage | 77 | - |