Target registration error minimization for minimally invasive interventions involving deformable organs-Reference-Cited by-同舟云学术

Target registration error minimization for minimally invasive interventions involving deformable organs

Published:2018-04 Issue: Volume:65 Page:4-10
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Fabian Sylwester,Spinczyk Dominik^ORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference20 articles.

1. Principal warps: thin-plate splines and the decomposition of deformations;Bookstein;IEEE Trans. Pattern Anal. Mach. Intell.,1989

2. A physics-based coordinate transformation for 3-D image matching;Davis;IEEE Trans. Med. Imaging,1997

3. Fiducial registration error and target registration error are uncorrelated;Fitzpatrick,2009

4. The distribution of target registration error in rigid-body point-based registration;Fitzpatrick;IEEE Trans. Med. Imaging,2001

5. Predicting error in rigid-body point-based registration;Fitzpatrick;IEEE Trans. Med. Imaging,1998

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