Title :
A shape descriptors comparison for organs deformation sequence characterization in MRI sequences
Author :
Rahim, M. ; Bellemare, M.-E. ; Pirró, N. ; Bulot, R.
Author_Institution :
LSIS, Univ. Paul Cezanne, Marseille, France
Abstract :
Dynamic MRI sequences are clinically used for the assessment of pelvic floor disorders. The organs complex movements are observed in the median sagittal plane. An objective characterization of the deformations that occur could allow an estimation of the similarity of the sequences. This quantification could pave the way to sequence classification or pathological grade determination as well as to the comparison of a real sequence to a simulated one. Shape descriptors are used to quantify the organs deformation along real patient MRI sequences. We show the method consistency and some promising results.
Keywords :
biomedical MRI; estimation theory; image sequences; pattern classification; deformation estimation; dynamic MRI sequences; median sagittal plane; objective characterization; organs deformation sequence characterization; pathological grade determination; pelvic floor disorders assessment; sequence classification; shape descriptors; Aging; Bladder; Capacitive sensors; Diseases; Image segmentation; Large scale integration; Magnetic resonance imaging; Mathematical model; Pathology; Shape; Dynamic MRI analysis; deformation estimation; shape descriptor;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413710