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