Literature DB >> 18044620

Endoscopic navigation for minimally invasive suturing.

Christian Wengert1, Lukas Bossard, Armin Häberling, Charles Baur, Gábor Székely, Philippe C Cattin.   

Abstract

Manipulating small objects such as needles, screws or plates inside the human body during minimally invasive surgery can be very difficult for less experienced surgeons, due to the loss of 3D depth perception. This paper presents an approach for tracking a suturing needle using a standard endoscope. The resulting pose information of the needle is then used to generate artificial 3D cues on the 2D screen to optimally support surgeons during tissue suturing. Additionally, if an external tracking device is provided to report the endoscope's position, the suturing needle can be tracked in a hybrid fashion with sub-millimeter accuracy. Finally, a visual navigation aid can be incorporated, if a 3D surface is intraoperatively reconstructed from video or registered from preoperative imaging.

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Year:  2007        PMID: 18044620     DOI: 10.1007/978-3-540-75759-7_75

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  3 in total

1.  Development of angle information system to facilitate the adjustment of needle-holding posture.

Authors:  Yang Cao; Li Liu; Satoshi Miura; Masaki Seki; Yo Kobayashi; Kazuya Kawamura; Masakatsu G Fujie
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-05-29       Impact factor: 2.924

2.  Preliminary study for developing a navigation system for gastric cancer surgery using artificial intelligence.

Authors:  Yuya Sato; Jun Sese; Takatoshi Matsuyama; Masaki Onuki; Shogo Mase; Keisuke Okuno; Katsumasa Saito; Naoto Fujiwara; Akihiro Hoshino; Kenro Kawada; Masanori Tokunaga; Yusuke Kinugasa
Journal:  Surg Today       Date:  2022-05-05       Impact factor: 2.549

3.  Pose estimation of a markerless fiber bundle for endoscopic optical biopsy.

Authors:  Omar Zenteno; Sylvie Treuillet; Yves Lucas
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-01
  3 in total

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