Literature DB >> 20879426

Fused video and ultrasound images for minimally invasive partial nephrectomy: a phantom study.

Carling L Cheung1, Chris Wedlake, John Moore, Stephen E Pautler, Terry M Peters.   

Abstract

The shift to minimally invasive abdominal surgery has increased reliance on image guidance during surgical procedures. However, these images are most often presented independently, increasing the cognitive workload for the surgeon and potentially increasing procedure time. When warm ischemia of an organ is involved, time is an important factor to consider. To address these limitations, we present a more intuitive visualization that combines images in a common augmented reality environment. In this paper, we assess surgeon performance under the guidance of the conventional visualization system and our fusion system using a phantom study that mimics the tumour resection of partial nephrectomy. The RMS error between the fused images was 2.43mm, which is sufficient for our purposes. A faster planning time for the resection was achieved using our fusion visualization system. This result is a positive step towards decreasing risks associated with long procedure times in minimally invasive abdominal interventions.

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Year:  2010        PMID: 20879426     DOI: 10.1007/978-3-642-15711-0_51

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


  12 in total

1.  Preclinical evaluation of ultrasound-augmented needle navigation for laparoscopic liver ablation.

Authors:  Xinyang Liu; William Plishker; Timothy D Kane; David A Geller; Lung W Lau; Jun Tashiro; Karun Sharma; Raj Shekhar
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-04-22       Impact factor: 2.924

2.  Surgeons blinded by enhanced navigation: the effect of augmented reality on attention.

Authors:  Benjamin J Dixon; Michael J Daly; Harley Chan; Allan D Vescan; Ian J Witterick; Jonathan C Irish
Journal:  Surg Endosc       Date:  2012-07-26       Impact factor: 4.584

3.  Stereoscopic augmented reality for laparoscopic surgery.

Authors:  Xin Kang; Mahdi Azizian; Emmanuel Wilson; Kyle Wu; Aaron D Martin; Timothy D Kane; Craig A Peters; Kevin Cleary; Raj Shekhar
Journal:  Surg Endosc       Date:  2014-02-01       Impact factor: 4.584

4.  An effective visualisation and registration system for image-guided robotic partial nephrectomy.

Authors:  Philip Pratt; Erik Mayer; Justin Vale; Daniel Cohen; Eddie Edwards; Ara Darzi; Guang-Zhong Yang
Journal:  J Robot Surg       Date:  2012-01-13

5.  Robust ultrasound probe tracking: initial clinical experiences during robot-assisted partial nephrectomy.

Authors:  Philip Pratt; Alexander Jaeger; Archie Hughes-Hallett; Erik Mayer; Justin Vale; Ara Darzi; Terry Peters; Guang-Zhong Yang
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-08-25       Impact factor: 2.924

6.  Application of single-image camera calibration for ultrasound augmented laparoscopic visualization.

Authors:  Xinyang Liu; He Su; Sukryool Kang; Timothy D Kane; Raj Shekhar
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-03

7.  Laparoscopic stereoscopic augmented reality: toward a clinically viable electromagnetic tracking solution.

Authors:  Xinyang Liu; Sukryool Kang; William Plishker; George Zaki; Timothy D Kane; Raj Shekhar
Journal:  J Med Imaging (Bellingham)       Date:  2016-10-10

8.  Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery.

Authors:  Rohit Singla; Philip Edgcumbe; Philip Pratt; Christopher Nguan; Robert Rohling
Journal:  Healthc Technol Lett       Date:  2017-09-11

9.  On-demand calibration and evaluation for electromagnetically tracked laparoscope in augmented reality visualization.

Authors:  Xinyang Liu; William Plishker; George Zaki; Sukryool Kang; Timothy D Kane; Raj Shekhar
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-01       Impact factor: 2.924

10.  Fast calibration of electromagnetically tracked oblique-viewing rigid endoscopes.

Authors:  Xinyang Liu; Christina E Rice; Raj Shekhar
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-06-16       Impact factor: 3.421

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