Literature DB >> 11131491

Registration of physical space to laparoscopic image space for use in minimally invasive hepatic surgery.

J D Stefansic1, A J Herline, Y Shyr, W C Chapman, J M Fitzpatrick, B M Dawant, R L Galloway.   

Abstract

While laparoscopes are used for numerous minimally invasive (MI) procedures, MI liver resection and ablative surgery is infrequently performed. The paucity of cases is due to the restriction of the field of view by the laparoscope and the difficulty in determining tumor location and margins under video guidance. By merging MI surgery with interactive, image-guided surgery (IIGS), we hope to overcome localization difficulties present in laparoscopic liver procedures. One key component of any IIGS system is the development of accurate registration techniques to map image space to physical or patient space. This manuscript focuses on the accuracy and analysis of the direct linear transformation (DLT) method to register physical space with laparoscopic image space on both distorted and distortion-corrected video images. Experiments were conducted on a liver-sized plastic phantom affixed with 20 markers at various depths. After localizing the points in both physical and laparoscopic image space, registration accuracy was assessed for different combinations and numbers of control points (n) to determine the quantity necessary to develop a robust registration matrix. For n = 11, average target registration error (TRE) was 0.70 +/- 0.20 mm. We also studied the effects of distortion correction on registration accuracy. For the particular distortion correction method and laparoscope used in our experiments, there was no statistical significance between physical to image registration error for distorted and corrected images. In cases where a minimum number of control points (n = 6) are acquired, the DLT is often not stable and the mathematical process can lead to high TRE values. Mathematical filters developed through the analysis of the DLT were used to prospectively eliminate outlier cases where the TRE was high. For n = 6, prefilter average TRE was 17.4 +/- 153 mm for all trials; when the filters were applied, average TRE decreased to 1.64 +/- 1.10 mm for the remaining trials.

Entities:  

Mesh:

Year:  2000        PMID: 11131491     DOI: 10.1109/42.887616

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  9 in total

1.  Ultrasound-to-computer-tomography registration for image-guided laparoscopic liver surgery.

Authors:  P Bao; J Warmath; R Galloway; A Herline
Journal:  Surg Endosc       Date:  2005-01-10       Impact factor: 4.584

2.  Feasibility study for image-guided kidney surgery: assessment of required intraoperative surface for accurate physical to image space registrations.

Authors:  Anne B Benincasa; Logan W Clements; S Duke Herrell; Robert L Galloway
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

3.  Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery.

Authors:  Daniel Reichard; Dominik Häntsch; Sebastian Bodenstedt; Stefan Suwelack; Martin Wagner; Hannes Kenngott; Beat Müller-Stich; Lena Maier-Hein; Rüdiger Dillmann; Stefanie Speidel
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-05-26       Impact factor: 2.924

4.  Transorbital target localization with augmented ophthalmologic surgical endoscopy.

Authors:  Michael P DeLisi; Louise A Mawn; Robert L Galloway
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-09-12       Impact factor: 2.924

5.  Image-guided transorbital procedures with endoscopic video augmentation.

Authors:  Michael P DeLisi; Louise A Mawn; Robert L Galloway
Journal:  Med Phys       Date:  2014-09       Impact factor: 4.071

6.  Assessing and reducing registration and targeting uncertainty in video-based image-guided renal navigation: An in vitro study featuring virtual targets.

Authors:  Peter Jackson; Kelly Merrell; Richard Simon; Cristian Linte
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

7.  Interactive CT-video registration for the continuous guidance of bronchoscopy.

Authors:  Scott A Merritt; Rahul Khare; Rebecca Bascom; William E Higgins
Journal:  IEEE Trans Med Imaging       Date:  2013-03-12       Impact factor: 10.048

8.  Computer-based System for the Virtual-Endoscopic Guidance of Bronchoscopy.

Authors:  J P Helferty; A J Sherbondy; A P Kiraly; W E Higgins
Journal:  Comput Vis Image Underst       Date:  2007-11       Impact factor: 3.876

9.  Characterization and Evaluation of Injectable Biodegradable Polymer Multimodality Radiologic Markers in an In Vivo Murine Model.

Authors:  Eliel Ben-David; Abraham J Domb; Haixing Liao; Awanish Kumar; Issac Nissenbaum; Matthias Stechele; Peter Siman; Natalie Greenbaum; Naama Lev Cohain; S Nahum Goldberg
Journal:  Biomacromolecules       Date:  2022-03-31       Impact factor: 6.988

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.