Conference proceeding
Evaluation of five non-rigid image registration algorithms using the NIREP framework
Proceedings of SPIE, Vol.7623(1), pp.76232L-76232L-10
Medical Imaging 2010: Image Processing
03/05/2010
DOI: 10.1117/12.844616
Abstract
Evaluating non-rigid image registration algorithm performance is a difficult problem since there is rarely a "gold
standard" (i.e., known) correspondence between two images. This paper reports the analysis and comparison
of five non-rigid image registration algorithms using the Non-Rigid Image Registration Evaluation Project
(NIREP) (www.nirep.org) framework. The NIREP framework evaluates registration performance using centralized
databases of well-characterized images and standard evaluation statistics (methods) which are implemented
in a software package. The performance of five non-rigid registration algorithms (Affine, AIR, Demons, SLE and
SICLE) was evaluated using 22 images from two NIREP neuroanatomical evaluation databases. Six evaluation
statistics (relative overlap, intensity variance, normalized ROI overlap, alignment of calcarine sulci, inverse consistency
error and transitivity error) were used to evaluate and compare image registration performance. The
results indicate that the Demons registration algorithm produced the best registration results with respect to the
relative overlap statistic but produced nearly the worst registration results with respect to the inverse consistency
statistic. The fact that one registration algorithm produced the best result for one criterion and nearly the worst
for another illustrates the need to use multiple evaluation statistics to fully assess performance.
Details
- Title: Subtitle
- Evaluation of five non-rigid image registration algorithms using the NIREP framework
- Creators
- Ying Wei - University of IowaGary E Christensen - University of IowaJoo Hyun Song - University of IowaDavid Rudrauf - University of IowaJoel Bruss - University of IowaJon G Kuhl - University of IowaThomas J Grabowski - University of Washington
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7623(1), pp.76232L-76232L-10
- Conference
- Medical Imaging 2010: Image Processing
- DOI
- 10.1117/12.844616
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/05/2010
- Academic Unit
- Radiation Research Laboratory; Neurology; Stead Family Department of Pediatrics; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center; Radiation Oncology; Electrical and Computer Engineering; Public Policy Center (Archive)
- Record Identifier
- 9984197417202771
Metrics
4 Record Views