Literature DB >> 21247251

Laparoscopic video analysis for training and image-guided surgery.

Patricia Sánchez-González1, Alicia M Cano, Ignacio Oropesa, Francisco M Sánchez-Margallo, Francisco Del Pozo, Pablo Lamata, Enrique J Gómez.   

Abstract

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.

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Year:  2011        PMID: 21247251     DOI: 10.3109/13645706.2010.541921

Source DB:  PubMed          Journal:  Minim Invasive Ther Allied Technol        ISSN: 1364-5706            Impact factor:   2.442


  3 in total

1.  Virtual reality-based assessment of basic laparoscopic skills using the Leap Motion controller.

Authors:  Vasileios Lahanas; Constantinos Loukas; Konstantinos Georgiou; Hani Lababidi; Dania Al-Jaroudi
Journal:  Surg Endosc       Date:  2017-05-02       Impact factor: 4.584

2.  EVA: laparoscopic instrument tracking based on Endoscopic Video Analysis for psychomotor skills assessment.

Authors:  Ignacio Oropesa; Patricia Sánchez-González; Magdalena K Chmarra; Pablo Lamata; Alvaro Fernández; Juan A Sánchez-Margallo; Frank Willem Jansen; Jenny Dankelman; Francisco M Sánchez-Margallo; Enrique J Gómez
Journal:  Surg Endosc       Date:  2012-10-06       Impact factor: 4.584

3.  Shared Learning Utilizing Digital Methods in Surgery to Enhance Transparency in Surgical Innovation: Protocol for a Scoping Review.

Authors:  Christin Hoffmann; Matthew Kobetic; Natasha Alford; Natalie Blencowe; Jozel Ramirez; Rhiannon Macefield; Jane M Blazeby; Kerry N L Avery; Shelley Potter
Journal:  JMIR Res Protoc       Date:  2022-09-08
  3 in total

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