DocumentCode :
3362559
Title :
Elastic modulus imaging using optical flow and image registration
Author :
Martí, Robert ; Noble, Alison
Author_Institution :
Comput. Vision & Robot. Group, Univ. of Girona, Girona, Spain
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
605
Lastpage :
608
Abstract :
Elastography, the imaging technique for estimating the elastic tissue properties, or more specifically elastic modulus imaging, are becoming important diagnosis tools in computer aided diagnosis system, specially focusing on ultrasound and MRI images. This technique still presents unsolved challenges in the analysis of deformations in sequences of images. The aim of this paper is twofold: to evaluate the applicability of the deformation field obtained by state of the art optical flow and image registration algorithms for elastic modulus imaging and to quantitatively evaluate two different methods for estimation of the elastic modulus distribution. Results show that optical-flow methods provide a slightly better reconstruction and that the reconstruction has been shown to be more accurate using the method proposed by Sumi et al.
Keywords :
biological tissues; biomedical MRI; biomedical ultrasonics; elastic moduli; image reconstruction; image registration; image sequences; medical image processing; MRI image; computer aided diagnosis system; diagnosis tool; elastic modulus distribution; elastic modulus imaging; elastic tissue property; elastography; image deformation; image reconstruction; image registration; image sequence; imaging technique; optical flow; ultrasound image; Image reconstruction; Image registration; Lesions; Optical imaging; Strain; Young´s modulus; Elastography; algorithm evaluation; image registration; modulus imaging; optical flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5653277
Filename :
5653277
Link To Document :
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