Literature DB >> 28624755

Stereo vision-based tracking of soft tissue motion with application to online ablation control in laser microsurgery.

Andreas Schoob1, Dennis Kundrat2, Lüder A Kahrs2, Tobias Ortmaier2.   

Abstract

Recent research has revealed that image-based methods can enhance accuracy and safety in laser microsurgery. In this study, non-rigid tracking using surgical stereo imaging and its application to laser ablation is discussed. A recently developed motion estimation framework based on piecewise affine deformation modeling is extended by a mesh refinement step and considering texture information. This compensates for tracking inaccuracies potentially caused by inconsistent feature matches or drift. To facilitate online application of the method, computational load is reduced by concurrent processing and affine-invariant fusion of tracking and refinement results. The residual latency-dependent tracking error is further minimized by Kalman filter-based upsampling, considering a motion model in disparity space. Accuracy is assessed in laparoscopic, beating heart, and laryngeal sequences with challenging conditions, such as partial occlusions and significant deformation. Performance is compared with that of state-of-the-art methods. In addition, the online capability of the method is evaluated by tracking two motion patterns performed by a high-precision parallel-kinematic platform. Related experiments are discussed for tissue substitute and porcine soft tissue in order to compare performances in an ideal scenario and in a setup mimicking clinical conditions. Regarding the soft tissue trial, the tracking error can be significantly reduced from 0.72 mm to below 0.05 mm with mesh refinement. To demonstrate online laser path adaptation during ablation, the non-rigid tracking framework is integrated into a setup consisting of a surgical Er:YAG laser, a three-axis scanning unit, and a low-noise stereo camera. Regardless of the error source, such as laser-to-camera registration, camera calibration, image-based tracking, and scanning latency, the ablation root mean square error is kept below 0.21 mm when the sample moves according to the aforementioned patterns. Final experiments regarding motion-compensated laser ablation of structurally deforming tissue highlight the potential of the method for vision-guided laser surgery.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Epipolar constraint; Motion compensation; Non-rigid tracking; Stereo vision

Mesh:

Year:  2017        PMID: 28624755     DOI: 10.1016/j.media.2017.06.004

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  5 in total

1.  Augmented visualization with depth perception cues to improve the surgeon's performance in minimally invasive surgery.

Authors:  Lucio Tommaso De Paolis; Valerio De Luca
Journal:  Med Biol Eng Comput       Date:  2018-12-04       Impact factor: 2.602

2.  StereoCNC: A Stereovision-guided Robotic Laser System.

Authors:  Guangshen Ma; Weston Ross; Patrick J Codd
Journal:  Rep U S       Date:  2021-12-16

3.  EMDQ-SLAM: Real-time High-resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos.

Authors:  Haoyin Zhou; Jagadeesan Jayender
Journal:  Med Image Comput Comput Assist Interv       Date:  2021-09-21

4.  A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.

Authors:  Max-Heinrich Laves; Jens Bicker; Lüder A Kahrs; Tobias Ortmaier
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-01-16       Impact factor: 2.924

5.  Preclinical Performance Evaluation of a Robotic Endoscope for Non-Contact Laser Surgery.

Authors:  D Kundrat; R Graesslin; A Schoob; D T Friedrich; M O Scheithauer; T K Hoffmann; T Ortmaier; L A Kahrs; P J Schuler
Journal:  Ann Biomed Eng       Date:  2020-08-12       Impact factor: 3.934

  5 in total

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