DocumentCode :
1787194
Title :
A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI
Author :
Marrone, Stefano ; Piantadosi, Gabriele ; Fusco, Roberta ; Petrillo, Antonella ; Sansone, M. ; Sansone, Carlo
Author_Institution :
DIETI, Univ. of Naples Federico II, Naples, Italy
fYear :
2014
fDate :
27-29 May 2014
Firstpage :
209
Lastpage :
214
Abstract :
Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated in the last decades a great potential in screening of high-risk women for breast cancer, in staging newly diagnosed patients and in assessing therapy effects. The aim of this work is to propose a novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. The proposed measure is based on a compartmental model of blood plasma and of the extra vascular extra cellular space (EES) for tumour tissue. Its suitability for evaluating image registration techniques has been indirectly verified by considering the results obtained, after each image registration technique, by a CAD segmentation system, developed in our previous work. In particular, it has been shown that the ranking obtained by means of the proposed quality assessment measure is in agreement with the ranking of the CAD segmentation systems, proving that our measure can correctly evaluate image registration techniques in the DCE-MRI context.
Keywords :
biomedical MRI; blood; cancer; image enhancement; image registration; image segmentation; medical image processing; tumours; CAD segmentation system ranking; DCE-MRI; EES; blood plasma; breast cancer; compartmental model; dynamic contrast enhanced-magnetic resonance imaging; extravascular extracellular space; image registration techniques; model-based measure; patient diagnosis; quality assessment measure; quality evaluation; therapy effect assessment; tumour tissue; Biomedical measurement; Design automation; Image registration; Image segmentation; Plasmas; Solid modeling; Three-dimensional displays; DCE-MRI; Image Registration; Similarity Measures; Tofts Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/CBMS.2014.57
Filename :
6881878
Link To Document :
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