SUPIR: Surface uncertainty-penalized, non-rigid image registration for pelvic CT imaging

Cheng Zhang, Gary E. Christensen, Sebastian Kurtek, Anuj Srivastava, Martin J. Murphy, Elisabeth Weiss, Erwei Bai, Jeffrey F. Williamson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Intensity-driven image registration does not always produce satisfactory pointwise correspondences in regions of low soft-tissue contrast characteristic of pelvic computed tomography (CT) imaging. Additional information such as manually segmented organ surfaces can be combined with intensity information to improve registration. However, this approach is sensitive to non-negligible surface segmentation errors (delineation errors) due to the relative poor soft-tissue contrast supported by CT. This paper presents an image registration algorithm that mitigates the impact of delineation errors by weighting each surface element by its segmentation uncertainty. This weighting ensures that portions of the surface that are specified accurately are used to guide the registration while portions of the surface that are uncertain are ignored. In our proof-of-principle validation, Monte Carlo simulations based on simple 3D phantoms demonstrate the strengths and weaknesses of the proposed method. These experiments show that registration performance can be improved using surface uncertainty in certain circumstances but not in others. Results are presented for situations when intensity only registration performs best, when intensity plus equally weighted surface registration performs best, and when intensity plus uncertainty weighted surface registration performs best. The algorithm has been applied to register CBCT and FBCT prostate images where the uncertainty of the prostate surface segmentation was estimated using contours drawn by five experts.

Original languageEnglish
Title of host publicationBiomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings
Pages236-245
Number of pages10
DOIs
StatePublished - 2012
Event5th International Workshop on Biomedical Image Registration, WBIR 2012 - Nashville, TN, United States
Duration: Jul 7 2012Jul 8 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7359 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Workshop on Biomedical Image Registration, WBIR 2012
CountryUnited States
CityNashville, TN
Period07/7/1207/8/12

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