[HTML][HTML] Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
Diffusion‐weighted imaging outside the brain: consensus statement from an ISMRM‐sponsored workshop
The significant advances in magnetic resonance imaging (MRI) hardware and software,
sequence design, and postprocessing methods have made diffusion‐weighted imaging …
sequence design, and postprocessing methods have made diffusion‐weighted imaging …
[HTML][HTML] Synopsis of the PI-RADS v2 guidelines for multiparametric prostate magnetic resonance imaging and recommendations for use
Rapid technical advances have enabled multiparametric magnetic resonance imaging
(mpMRI) combined with magnetic resonance (MR)–targeted biopsy to become valuable …
(mpMRI) combined with magnetic resonance (MR)–targeted biopsy to become valuable …
[HTML][HTML] In vivo observation and biophysical interpretation of time-dependent diffusion in human cortical gray matter
The dependence of the diffusion MRI signal on the diffusion time t is a hallmark of tissue
microstructure at the scale of the diffusion length. Here we measure the time-dependence of …
microstructure at the scale of the diffusion length. Here we measure the time-dependence of …
Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook
E Fieremans, HH Lee - Neuroimage, 2018 - Elsevier
Phantoms, both numerical (software) and physical (hardware), can serve as a gold standard
for the validation of MRI methods probing the brain microstructure. This review aims to …
for the validation of MRI methods probing the brain microstructure. This review aims to …
Multi-site harmonization of diffusion MRI data in a registration framework
Diffusion MRI (dMRI) data acquired on different scanners varies significantly in its content
throughout the brain even if the acquisition parameters are nearly identical. Thus, proper …
throughout the brain even if the acquisition parameters are nearly identical. Thus, proper …
[HTML][HTML] Imaging brain tumour microstructure
M Nilsson, E Englund, F Szczepankiewicz… - Neuroimage, 2018 - Elsevier
Imaging is an indispensable tool for brain tumour diagnosis, surgical planning, and follow-
up. Definite diagnosis, however, often demands histopathological analysis of microscopic …
up. Definite diagnosis, however, often demands histopathological analysis of microscopic …
[HTML][HTML] Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion
Diffusion-weighted imaging (DWI) is sensitive to the mobility of water molecule at cellular
and macromolecular level, much smaller than the spatial resolution of the images. It is …
and macromolecular level, much smaller than the spatial resolution of the images. It is …
Multiparametric MRI of solid renal masses: principles and applications of advanced quantitative and functional methods for tumor diagnosis and characterization
I Laothamatas, H Al Mubarak, A Reddy… - Journal of Magnetic …, 2023 - Wiley Online Library
Solid renal masses (SRMs) are increasingly detected and encompass both benign and
malignant masses, with renal cell carcinoma (RCC) being the most common malignant …
malignant masses, with renal cell carcinoma (RCC) being the most common malignant …
[HTML][HTML] Generalization of diffusion magnetic resonance imaging–based brain age prediction model through transfer learning
Brain age prediction models using diffusion magnetic resonance imaging (dMRI) and
machine learning techniques enable individual assessment of brain aging status in healthy …
machine learning techniques enable individual assessment of brain aging status in healthy …