Video-based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey

被引:55
作者
Lin, Bingxiong [1 ]
Sun, Yu [1 ]
Qian, Xiaoning [2 ]
Goldgof, Dmitry [1 ]
Gitlin, Richard [3 ]
You, Yuncheng [4 ]
机构
[1] Univ S Florida, Dept Comp Sci & Engn, Tampa, FL USA
[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX USA
[3] Univ S Florida, Dept Elect Engn, Tampa, FL USA
[4] Univ S Florida, Dept Math & Stat, Tampa, FL USA
基金
美国国家科学基金会;
关键词
visual SLAM; surface reconstruction; tissue deformation; feature detection; feature tracking; laparoscopy; pose estimation; camera tracking; MEDICAL IMAGE REGISTRATION; STRUCTURE-FROM-MOTION; GUIDED NEUROSURGERY; OPTICAL TECHNIQUES; REAL; TRACKING; SURFACE; INSTRUMENTS; STEREO; SHAPE;
D O I
10.1002/rcs.1661
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background The intra-operative three-dimensional (3D) structure of tissue organs and laparoscope motion are the basis for many tasks in computer-assisted surgery (CAS), such as safe surgical navigation and registration of pre-operative and intra-operative data for soft tissues. Methods This article provides a literature review on laparoscopic video-based intra-operative techniques of 3D surface reconstruction, laparoscope localization and tissue deformation recovery for abdominal minimally invasive surgery (MIS). Results This article introduces a classification scheme based on the motions of a laparoscope and the motions of tissues. In each category, comprehensive discussion is provided on the evolution of both classic and state-of-the-art methods. Conclusions Video-based approaches have many advantages, such as providing intra-operative information without introducing extra hardware to the current surgical platform. However, an extensive discussion on this important topic is still lacking. This survey paper is therefore beneficial for researchers in this field. Copyright (C) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:158 / 178
页数:21
相关论文
共 178 条
[31]   Spectrally encoded fiber-based structured lighting probe for intraoperative 3D imaging [J].
Clancy, Neil T. ;
Stoyanov, Danail ;
Maier-Hein, Lena ;
Groch, Anja ;
Yang, Guang-Zhong ;
Elson, Daniel S. .
BIOMEDICAL OPTICS EXPRESS, 2011, 2 (11) :3119-3128
[32]  
Collins T, 2011, MED IMAGE UNDERSTAND
[33]  
Davison A. J., 1998, Computer Vision - ECCV'98. 5th European Conference on Computer Vision. Proceedings, P809, DOI 10.1007/BFb0054781
[34]  
Davison A. J., 1998, THESIS
[35]  
Davison AJ, 2003, NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, P1403
[36]   MonoSLAM: Real-time single camera SLAM [J].
Davison, Andrew J. ;
Reid, Ian D. ;
Molton, Nicholas D. ;
Stasse, Olivier .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 29 (06) :1052-1067
[37]   Non-rigid stereo factorization [J].
Del Bue, A ;
Agapito, L .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2006, 66 (02) :193-207
[38]  
Del Bue A., 2006, PROC IEEE C COMPUTER, V1, P1191
[39]  
Del Bue A, 2004, P AS C COMP VIS, V1, P25
[40]   SVD-matching using SIFT features [J].
Delponte, Elisabetta ;
Isgro, Francesco ;
Odone, Francesca ;
Verri, Alessandro .
GRAPHICAL MODELS, 2006, 68 (5-6) :415-431