Literature DB >> 17364657

Tracking endoscopic instruments without a localizer: a shape-analysis-based approach.

Oliver Tonet1, Ramesh U Thoranaghatte, Giuseppe Megali, Paolo Dario.   

Abstract

We present an approach to localizing endoscopic instruments with respect to the camera position, based purely on processing of the endoscope image. No localizers are needed; the only requirement is a colored strip at the distal part of the instrument shaft to facilitate image segmentation. The method exploits perspective image analysis applied to the cylindrical shape of the instrument shaft, allowing measurement of the instrument position and orientation with five degrees of freedom. We describe the method theoretically, and experimentally derive calibration curves for tuning the parameters of the algorithm. Results show that the method can be used for applications where accuracy is not critical, such as workspace measurement, gesture analysis, augmented-reality guidance, telementoring, etc. If this method is used in combination with an endoscope tracker or a robotic camera holder, full localization with respect to the patient reference frame can be achieved.

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Mesh:

Year:  2007        PMID: 17364657     DOI: 10.3109/10929080701210782

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  9 in total

1.  Intra-operative surgical instrument usage detection on a multi-sensor table.

Authors:  Bernhard Glaser; Stefan Dänzer; Thomas Neumuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-05-15       Impact factor: 2.924

2.  A touch panel surgical navigation system with automatic depth perception.

Authors:  Satoru Okada; Junichi Shimada; Kazuhiro Ito; Daishiro Kato
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-06-07       Impact factor: 2.924

3.  Comparison of the performance of experienced and novice surgeons: measurement of gripping force during laparoscopic surgery performed on pigs using forceps with pressure sensors.

Authors:  Azumi Araki; Kazuhide Makiyama; Hiroyuki Yamanaka; Daiki Ueno; Kimito Osaka; Manabu Nagasaka; Takahiro Yamada; Masahiro Yao
Journal:  Surg Endosc       Date:  2016-08-29       Impact factor: 4.584

4.  Vision-based proximity detection in retinal surgery.

Authors:  R Richa; M Balicki; R Sznitman; E Meisner; R Taylor; G Hager
Journal:  IEEE Trans Biomed Eng       Date:  2012-06-05       Impact factor: 4.538

5.  A parallel network utilizing local features and global representations for segmentation of surgical instruments.

Authors:  Xinan Sun; Yuelin Zou; Shuxin Wang; He Su; Bo Guan
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-06-10       Impact factor: 3.421

6.  'It is Time to Prepare the Next patient' Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies.

Authors:  Annetje C P Guédon; M Paalvast; F C Meeuwsen; D M J Tax; A P van Dijke; L S G L Wauben; M van der Elst; J Dankelman; J J van den Dobbelsteen
Journal:  J Med Syst       Date:  2016-10-14       Impact factor: 4.460

7.  Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video.

Authors:  Xiaofei Du; Maximilian Allan; Sebastian Bodenstedt; Lena Maier-Hein; Stefanie Speidel; Alessio Dore; Danail Stoyanov
Journal:  Med Image Anal       Date:  2019-07-04       Impact factor: 8.545

8.  Three-dimensional posture estimation of robot forceps using endoscope with convolutional neural network.

Authors:  Takuto Mikada; Takahiro Kanno; Toshihiro Kawase; Tetsuro Miyazaki; Kenji Kawashima
Journal:  Int J Med Robot       Date:  2020-01-08       Impact factor: 2.547

9.  Robotic Endoscope Control Via Autonomous Instrument Tracking.

Authors:  Caspar Gruijthuijsen; Luis C Garcia-Peraza-Herrera; Gianni Borghesan; Dominiek Reynaerts; Jan Deprest; Sebastien Ourselin; Tom Vercauteren; Emmanuel Vander Poorten
Journal:  Front Robot AI       Date:  2022-04-11
  9 in total

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