Fast prostate segmentation in 3D TRUS images based on continuity constraint using an autoregressive model

M Ding, B Chiu, I Gyacskov, X Yuan… - Medical …, 2007 - Wiley Online Library
In this article a new slice‐based 3D prostate segmentation method based on a continuity
constraint, implemented as an autoregressive (AR) model is described. In order to decrease …

A coarse-to-fine approach to prostate boundary segmentation in ultrasound images

F Sahba, HR Tizhoosh, MM Salama - Biomedical engineering online, 2005 - Springer
Background In this paper a novel method for prostate segmentation in transrectal ultrasound
images is presented. Methods A segmentation procedure consisting of four main stages is …

Prostate segmentation: an efficient convex optimization approach with axial symmetry using 3-D TRUS and MR images

W Qiu, J Yuan, E Ukwatta, Y Sun… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
We propose a novel global optimization-based approach to segmentation of 3-D prostate
transrectal ultrasound (TRUS) and T2 weighted magnetic resonance (MR) images, enforcing …

Prostate segmentation by feature enhancement using domain knowledge and adaptive region based operations

ND Nanayakkara, J Samarabandu… - Physics in Medicine & …, 2006 - iopscience.iop.org
Estimation of prostate location and volume is essential in determining a dose plan for
ultrasound-guided brachytherapy, a common prostate cancer treatment. However, manual …

Deep attentional features for prostate segmentation in ultrasound

Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu… - … Image Computing and …, 2018 - Springer
Automatic prostate segmentation in transrectal ultrasound (TRUS) is of essential importance
for image-guided prostate biopsy and treatment planning. However, developing such …

Rotationally resliced 3D prostate TRUS segmentation using convex optimization with shape priors

W Qiu, J Yuan, E Ukwatta, A Fenster - Medical physics, 2015 - Wiley Online Library
Purpose: Efficient and accurate segmentations of 3D end‐firing transrectal ultrasound
(TRUS) images play an important role in planning of 3D TRUS guided prostate biopsy …

A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images

S Ghose, A Oliver, J Mitra, R Martí, X Lladó… - Medical image …, 2013 - Elsevier
Prostate segmentation aids in prostate volume estimation, multi-modal image registration,
and to create patient specific anatomical models for surgical planning and image guided …

Prostate segmentation based on variant scale patch and local independent projection

Y Wu, G Liu, M Huang, J Guo, J Jiang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Accurate segmentation of the prostate in computed tomography (CT) images is important in
image-guided radiotherapy; however, difficulties remain associated with this task. In this …

3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning

X Yang, B Fei - Medical Imaging 2012: Image-Guided …, 2012 - spiedigitallibrary.org
We developed a three-dimensional (3D) segmentation method for transrectal ultrasound
(TRUS) images, which is based on longitudinal image registration and machine learning …

Deep learning for real-time, automatic, and scanner-adapted prostate (zone) segmentation of transrectal ultrasound, for example, magnetic resonance imaging …

RJG van Sloun, RR Wildeboer, CK Mannaerts… - European urology …, 2021 - Elsevier
Background Although recent advances in multiparametric magnetic resonance imaging
(MRI) led to an increase in MRI-transrectal ultrasound (TRUS) fusion prostate biopsies …