Book chapter
Evaluating Image Registration Using NIREP
Biomedical Image Registration, pp.140-150
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2010
DOI: 10.1007/978-3-642-14366-3_13
Abstract
This paper describes the functionality and use of the Non-rigid Image Registration Evaluation Program (NIREP) that was developed to make qualitative and quantitative performance comparisons between one or more image registration algorithms. Registration performance is evaluated using common evaluation databases. An evaluation database consists of groups of registered medical images (e.g., one or more MRI modalities, CT, etc.) and annotations (e.g., segmentations, landmarks, contours, etc.) identified by their common image coordinate system. Prior to analysis with NIREP, each algorithm is used to generate pair-wise correspondence maps/transformations between image coordinate systems. NIREP has a highly customizable graphical user interface for displaying images, transformations, segmentations, overlays, differences between images, and differences between transformations. Evaluation statistics built into NIREP are used to compute quantitative algorithm performance reports that include region of interest overlap, intensity variance of images mapped to a reference coordinate system, inverse consistency error and transitivity error.
Details
- Title: Subtitle
- Evaluating Image Registration Using NIREP
- Creators
- Joo Hyun Song - University of IowaGary E Christensen - University of IowaJeffrey A Hawley - University of IowaYing Wei - University of IowaJon G Kuhl - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Biomedical Image Registration, pp.140-150
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-642-14366-3_13
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2010
- Academic Unit
- Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Electrical and Computer Engineering; Advanced Pulmonary Physiomic Imaging Laboratory; Iowa Technology Institute; Radiation Oncology; Holden Comprehensive Cancer Center
- Record Identifier
- 9984197071102771
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