Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Random walk based segmentation for the prostate on 3D transrectal ultrasound images

This paper proposes a new semi-automatic segmentation method for the prostate on 3D transrectal ultrasound images (TRUS) by combining the region and classification information. We use a random walk algorithm to express the region information efficiently and flexibly because it can avoid segmentation leakage and shrinking bias. We further use the decision tree as the classifier to distinguish th...

Framework for 3D TransRectal Ultrasound

Introduction and Objective: Prostate biopsies are mainly performed under 2D TransRectal UltraSound (TRUS) control by sampling the prostate according to a predefined pattern. In case of first biopsies, this pattern follows a random systematic plan. Sometimes, repeat biopsies can be needed to target regions unsampled by previous biopsies or resample critical regions (for example in case of cancer...

Transrectal Ultrasound-guided Prostate Brachytherapy

Towards 3D Ultrasound Image Based Soft Tissue Tracking: A Transrectal Ultrasound Prostate Image Alignment System

The emergence of real-time 3D ultrasound (US) makes it possible to consider image-based tracking of subcutaneous soft tissue targets for computer guided diagnosis and therapy. We propose a 3D transrectal US based tracking system for precise prostate biopsy sample localisation. The aim is to improve sample distribution, to enable targeting of unsampled regions for repeated biopsies, and to make ...

[Transrectal ultrasound-guided biopsy of the prostate].

The early detection of prostatic neoplasm is nowadays a primary need in the urological field. The availability of transrectal ultrasound equipment alongside with bioptic tools made possible that transrectal ultrasound-guided biopsy of the prostate became the standard procedure to achieve this goal. With this work we would like to confirm the efficacy of this method which is also associated with...