Limitations and prospects for diffusion-weighted MRI of the prostate

R Bourne, E Panagiotaki - Diagnostics, 2016 - mdpi.com
Diffusion-weighted imaging (DWI) is the most effective component of the modern multi-
parametric magnetic resonance imaging (mpMRI) scan for prostate pathology. DWI provides …

Multiparametric MRI in the diagnosis of prostate cancer: Physical foundations, limitations, and prospective advances of diffusion-weighted MRI

BD Wichtmann, FG Zöllner… - RöFo-Fortschritte auf …, 2021 - thieme-connect.com
Background Diffusion-weighted imaging (DWI) is an essential component of the
multiparametric MRI exam for the diagnosis and assessment of prostate cancer (PCa). Over …

Harnessing uncertainty in domain adaptation for mri prostate lesion segmentation

E Chiou, F Giganti, S Punwani, I Kokkinos… - … Image Computing and …, 2020 - Springer
The need for training data can impede the adoption of novel imaging modalities for learning-
based medical image analysis. Domain adaptation methods partially mitigate this problem …

Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology

F Zaccagna, F Riemer, AN Priest, MA McLean… - European …, 2019 - Springer
Purpose This prospective study evaluated the use of vascular, extracellular and restricted
diffusion for cytometry in tumours (VERDICT) MRI to investigate the tissue microstructure in …

Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI

M Palombo, V Valindria, S Singh, E Chiou, F Giganti… - Scientific Reports, 2023 - nature.com
This work presents a biophysical model of diffusion and relaxation MRI for prostate called
relaxation vascular, extracellular and restricted diffusion for cytometry in tumours …

VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization

E Bonet‐Carne, E Johnston, A Daducci… - NMR in …, 2019 - Wiley Online Library
VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumours) estimates
and maps microstructural features of cancerous tissue non‐invasively using diffusion MRI …

Differentiating false positive lesions from clinically significant cancer and normal prostate tissue using VERDICT MRI and other diffusion models

S Sen, V Valindria, PJ Slator, H Pye, A Grey… - Diagnostics, 2022 - mdpi.com
False positives on multiparametric MRIs (mp-MRIs) result in many unnecessary invasive
biopsies in men with clinically insignificant diseases. This study investigated whether …

Experimental design for multi-channel imaging via task-driven feature selection

SB Blumberg, PJ Slator… - The Twelfth International …, 2024 - openreview.net
This paper presents a data-driven, task-specific paradigm for experimental design, to
shorten acquisition time, reduce costs, and accelerate the deployment of imaging devices …

ssVERDICT: Self‐supervised VERDICT‐MRI for enhanced prostate tumor characterization

S Sen, S Singh, H Pye, CM Moore… - Magnetic …, 2024 - Wiley Online Library
Purpose Demonstrating and assessing self‐supervised machine‐learning fitting of the
VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for …

Information‐based ranking of 10 compartment models of diffusion‐weighted signal attenuation in fixed prostate tissue

S Liang, E Panagiotaki, A Bongers, P Shi… - NMR in …, 2016 - Wiley Online Library
This study compares the theoretical information content of single‐and multi‐compartment
models of diffusion‐weighted signal attenuation in prostate tissue. Diffusion‐weighted …