Image-Guided Procedures, Robotic Interventions, and Modeling

Tissue classification for laparoscopic image understanding based on multispectral texture analysis

[+] Author Affiliations
Yan Zhang, Sebastian J. Wirkert, Justin Iszatt, Lena Maier-Hein

German Cancer Research Center (DKFZ), Department of Computer Assisted Medical Interventions, Im Neuenheimer Feld 581, Heidelberg 69120, Germany

Hannes Kenngott, Martin Wagner, Benjamin Mayer

Heidelberg University Hospital, Department for General, Visceral and Transplantation Surgery, International Office, Im Neuenheimer Feld 400, Heidelberg 69120, Germany

Christian Stock

University of Heidelberg, Institute of Medical Biometry and Informatics, Im Neuenheimer Feld 130.3, Heidelberg 69120, Germany

Neil T. Clancy, Daniel S. Elson

The Hamlyn Centre, Imperial College London, Bessemer Building, South Kensington Campus, London SW7 2AZ, United Kingdom

Imperial College London, Department of Surgery and Cancer, South Kensington Campus, London SW7 2AZ, United Kingdom

J. Med. Imag. 4(1), 015001 (Jan 25, 2017). doi:10.1117/1.JMI.4.1.015001
History: Received June 5, 2016; Accepted December 16, 2016
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Abstract.  Intraoperative tissue classification is one of the prerequisites for providing context-aware visualization in computer-assisted minimally invasive surgeries. As many anatomical structures are difficult to differentiate in conventional RGB medical images, we propose a classification method based on multispectral image patches. In a comprehensive ex vivo study through statistical analysis, we show that (1) multispectral imaging data are superior to RGB data for organ tissue classification when used in conjunction with widely applied feature descriptors and (2) combining the tissue texture with the reflectance spectrum improves the classification performance. The classifier reaches an accuracy of 98.4% on our dataset. Multispectral tissue analysis could thus evolve as a key enabling technique in computer-assisted laparoscopy.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Yan Zhang ; Sebastian J. Wirkert ; Justin Iszatt ; Hannes Kenngott ; Martin Wagner, et al.
"Tissue classification for laparoscopic image understanding based on multispectral texture analysis", J. Med. Imag. 4(1), 015001 (Jan 25, 2017). ; http://dx.doi.org/10.1117/1.JMI.4.1.015001


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