Texture Guided Active Appearance Model Propagation for Prostate Segmentation

Fusion of Magnetic Resonance Imaging (MRI) and Trans Rectal Ultra Sound (TRUS) images during TRUS guided prostate biopsy improves localization of the malignant tissues. Segmented prostate in TRUS and MRI improve registration accuracy and reduce computational cost of the procedure. However, accurate segmentation of the prostate in TRUS images can be a challenging task due to low signal to noise ratio, heterogeneous intensity distribution inside the prostate, and imaging artifacts like speckle noise and shadow. We propose to use texture features from approximation coefficients of Haar wavelet transform for propagation of a shape and appearance based statistical model to segment the prostate in a multi-resolution framework. A parametric model of the propagating contour is derived from Principal Component Analysis of prior shape and texture informations of the prostate from the training data. The parameters are then modified with prior knowledge of the optimization space to achieve optimal...

• Type: Journal
• Year: 2010
• Where: MICCAI
• Authors: Soumya Ghose, Arnau Oliver, Robert Marti, Xavier Lladó, Jordi Freixenet, Joan Carles Vilanova, Fabrice Meriaudeau
• Keywords: Medical Imaging, MICCAI 2010, Prostate, TRUS, TRUS Images