Body diffusion kurtosis imaging: basic principles, applications, and considerations for clinical practice

AB Rosenkrantz, AR Padhani… - Journal of Magnetic …, 2015 - Wiley Online Library
Technologic advances enable performance of diffusion‐weighted imaging (DWI) at ultrahigh
b‐values, where standard monoexponential model analysis may not apply. Rather, non …

Computer-aided detection of prostate cancer with MRI: technology and applications

L Liu, Z Tian, Z Zhang, B Fei - Academic radiology, 2016 - Elsevier
One in six men will develop prostate cancer in his lifetime. Early detection and accurate
diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently …

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization

J Toivonen, I Montoya Perez, P Movahedi, H Merisaari… - PloS one, 2019 - journals.plos.org
Purpose To develop and validate a classifier system for prediction of prostate cancer (PCa)
Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w) …

[HTML][HTML] Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model

SM Rezaeijo, SJ Nesheli, MF Serj… - Quantitative Imaging in …, 2022 - ncbi.nlm.nih.gov
Background Due to the large variability in the prostate gland of different patient groups,
manual segmentation is time-consuming and subject to inter-and intra-reader variations …

A fractal derivative model for the characterization of anomalous diffusion in magnetic resonance imaging

Y Liang, QY Allen, W Chen, RG Gatto… - … in Nonlinear Science …, 2016 - Elsevier
Non-Gaussian (anomalous) diffusion is wide spread in biological tissues where its effects
modulate chemical reactions and membrane transport. When viewed using magnetic …

Advanced diffusion-weighted imaging modeling for prostate cancer characterization: correlation with quantitative histopathologic tumor tissue composition—a …

SJ Hectors, S Semaan, C Song, S Lewis, GK Haines… - Radiology, 2018 - pubs.rsna.org
Purpose To correlate quantitative diffusion-weighted imaging (DWI) parameters derived from
conventional monoexponential DWI, stretched exponential DWI, diffusion kurtosis imaging …

Multiparametric magnetic resonance imaging in prostate cancer management: current status and future perspectives

TWJ Scheenen, AB Rosenkrantz, MA Haider… - Investigative …, 2015 - journals.lww.com
This article reviews recent and ongoing developments in multiparametric magnetic
resonance imaging (mpMRI) of the prostate. Advances in T2-weighted imaging, diffusion …

Prostate cancer: diffusion-weighted MR imaging for detection and assessment of aggressiveness—comparison between conventional and kurtosis models

T Tamada, V Prabhu, J Li, JS Babb, SS Taneja… - Radiology, 2017 - pubs.rsna.org
Purpose To compare standard diffusion-weighted (DW) imaging and diffusion kurtosis (DK)
imaging for prostate cancer (PC) detection and characterization in a large patient cohort …

A comparative simulation study of bayesian fitting approaches to intravoxel incoherent motion modeling in diffusion‐weighted MRI

PT While - Magnetic resonance in medicine, 2017 - Wiley Online Library
Purpose To assess the performance of various least squares and Bayesian modeling
approaches to parameter estimation in intravoxel incoherent motion (IVIM) modeling of …

Validation of IMPROD biparametric MRI in men with clinically suspected prostate cancer: a prospective multi-institutional trial

I Jambor, J Verho, O Ettala, J Knaapila, P Taimen… - PLoS …, 2019 - journals.plos.org
Background Magnetic resonance imaging (MRI) combined with targeted biopsy (TB) is
increasingly used in men with clinically suspected prostate cancer (PCa), but the long …