Laparoscopic video analysis for training and image-guided surgery.
Automatic analysis of Minimally Invasive Surgical video has the potential to drive new solutions for alleviating needs of safe and reproducible training programs, objective and transparent evaluation systems and navigation tools to assist surgeons and improve patient safety. Surgical video is an always available source of information, which can be used without any additional intrusive hardware in the operating room. This paper is focused on surgical video analysis methods and techniques. It describes authors' contributions in two key aspects, the 3D reconstruction of the surgical field and the segmentation and tracking of tools and organs based on laparoscopic video images. Results are given to illustrate the potential of this field of research, like the calculi of the 3D position and orientation of a tool from its 2D image, or the translation of a preoperative resection plan into a hepatectomy surgical procedure using the shading information of the image. Research efforts are required to further develop these technologies in order to harness all the valuable information available in any video-based surgery.
Bioengineering and Telemedicine Centre (GBT), Technical University of Madrid (UPM), Spain. psanchez@gbt.tfo.upm.es
Patricia
P
Sánchez-González
Alicia M
AM
Cano
Ignacio
I
Oropesa
Francisco M
FM
Sánchez-Margallo
Francisco
F
Del Pozo
Pablo
P
Lamata
Enrique J
EJ
Gómez
D000465:Algorithms; D002983:Clinical Competence; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods; D010535:Laparoscopy / Q000193:education* / Q000295:instrumentation; D007858:Learning; D019060:Minimally Invasive Surgical Procedures / Q000295:instrumentation / Q000379:methods; D013030:Spain; D025321:Surgery, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D013663:Teaching / Q000379:methods*; D020535:Video-Assisted Surgery / Q000295:instrumentation / Q000379:methods*