Title :
Pelvic Organs Dynamic Feature Analysis for MRI Sequence Discrimination
Author :
Rahim, Mehdi ; Bellemare, Marc-Emmanuel ; Bulot, Rémy ; Pirró, Nicolas
Author_Institution :
Lab. des Sci. de l´´Inf. et des Syst., Domaine Univ. de St.-Jerome, Marseille, France
Abstract :
Dynamic magnetic resonance imaging MRI acquisitions are used in the clinical assessment of the pelvic organs behaviour during an abdominal strain. The main organs (bladder, uterus-vagina, rectum) undergo deformations and intrinsic movements along a sequence. Anatomical references and measurements are generally used by clinicians to evaluate pathology grades. In this context, we have established quantitative elements, which consist of deformation and movement features, for the pelvic dynamic characterization, by using shape descriptors computed from organ contours. Moreover, the deformation and movement features relevance has been assessed towards an efficient sequence discrimination and pathology detection.
Keywords :
biomedical MRI; feature extraction; image sequences; medical image processing; MRI sequence discrimination; abdominal strain; anatomical references; bladder; clinical assessment; dynamic magnetic resonance imaging MRI acquisitions; pathology detection; pelvic organs behaviour; pelvic organs dynamic feature analysis; rectum; sequence discrimination; uterus-vagina; Accuracy; Bladder; Feature extraction; Magnetic resonance imaging; Pathology; Shape; Support vector machines;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.611