DocumentCode :
617387
Title :
Mapping endometrial implants by 2D/2D registration of TVUS to MR images from point correspondences
Author :
Yavariabdi, A. ; Samir, Chafik ; Bartoli, Alberto ; Da Ines, D. ; Bourdel, Nicolas
Author_Institution :
ISIT, UdA, Clermont-Ferrand, France
fYear :
2013
fDate :
7-11 April 2013
Firstpage :
576
Lastpage :
579
Abstract :
We propose a multi-modal image registration and fusion method to cope with the limitations of Magnetic Resonance (MR) and Transvaginal Ultrasound (TVUS) imaging in observing abdominal endometrial implants. The proposed method facilitates the transfer of two types of information from a 2D TVUS image to a 2D MR slice: (1) the location and shape of small implants and (2) the implants´ depth of infiltration in the host tissue. Our registration uses point correspondences sampled on user provided, corresponding organs´ contours. Experimental results are provided for 5 patient datasets, showing that the proposed method outperforms the classical Thin-Plate Spline (TPS).
Keywords :
biological tissues; biomedical MRI; biomedical ultrasonics; image fusion; image registration; medical image processing; prosthetics; 2D MR imaging; 2D MR slice; 2D TVUS imaging; 2D-2D registration; abdominal endometrial implants; classical thin-plate spline; depth of infiltration; magnetic resonance limitations; mapping endometrial implants; multimodal image fusion method; multimodal image registration method; patient datasets; tissue; transvaginal ultrasound imaging; Bladder; Equations; Image registration; Imaging; Implants; Splines (mathematics); Endometriosis; Fusion; Landmark-based image registration; Localization; Second-order deformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1945-7928
Print_ISBN :
978-1-4673-6456-0
Type :
conf
DOI :
10.1109/ISBI.2013.6556540
Filename :
6556540
Link To Document :
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