Presentation 2006-01-28
Estimation of lung deformation by a point matching algorithm for computer assisted thoracoscopic surgery : Effects of intraoperative measured points on estimation accuracy
N. ABURAYA, M. NAKAMOTO, K. KONISHI, H. KITAOKA, Y. SATO, I. YOSHINO, M. HASHIZUME, S. TAMURA,
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Abstract(in English) In the thoracoscopic surgery, finding a lung cancer from the shrinking lung is not simple task. To assist locating the cancer, we develop the navigation system for thoracoscopic surgery. Since a lung is deformed from preoperative shape by collapse, intraoperative estimation of lung deformation is needed. We employ Chui's point-based non-rigid registration to estimate the lung deformation. Estimation accuracy of Chui's method is affected by number and distribution of the input points. In order to clarify the relationships between them, we performed simulation experiments. As a result, if enough contour points were measured and labeled matching method was used, estimation error was about 15mm even when number of sampling points from the lung surface was 5 points.
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Keyword(in English) Lung deformation / Point-based non-rigid registration / Intraoperative surface measurement / Simulation experiment
Paper # MI2005-140
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Committee MI
Conference Date 2006/1/21(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Estimation of lung deformation by a point matching algorithm for computer assisted thoracoscopic surgery : Effects of intraoperative measured points on estimation accuracy
Sub Title (in English)
Keyword(1) Lung deformation
Keyword(2) Point-based non-rigid registration
Keyword(3) Intraoperative surface measurement
Keyword(4) Simulation experiment
1st Author's Name N. ABURAYA
1st Author's Affiliation Dept. of Computer Science, Department of Computer Science, Osaka University Graduate School of Information Science and Technology:Division of Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine()
2nd Author's Name M. NAKAMOTO
2nd Author's Affiliation Dept. of Computer Science, Department of Computer Science, Osaka University Graduate School of Information Science and Technology:Division of Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine
3rd Author's Name K. KONISHI
3rd Author's Affiliation Department of Innovative Medical Technology, Graduate School of Medical Sciences, Kyushu University
4th Author's Name H. KITAOKA
4th Author's Affiliation Department of Respiratory Disease, Osaka University Graduate School of Medicine
5th Author's Name Y. SATO
5th Author's Affiliation Dept. of Computer Science, Department of Computer Science, Osaka University Graduate School of Information Science and Technology:Division of Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine
6th Author's Name I. YOSHINO
6th Author's Affiliation Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University
7th Author's Name M. HASHIZUME
7th Author's Affiliation Department of Disaster and Emergency Medicine, Graduate School of Medical Sciences, Kyushu University
8th Author's Name S. TAMURA
8th Author's Affiliation Dept. of Computer Science, Department of Computer Science, Osaka University Graduate School of Information Science and Technology:Division of Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine
Date 2006-01-28
Paper # MI2005-140
Volume (vol) vol.105
Number (no) 580
Page pp.pp.-
#Pages 4
Date of Issue