Ultra-High Contrast MRI: The Whiteout Sign Shown with Divided Subtracted Inversion Recovery (dSIR) Sequences in Post-Insult Leukoencephalopathy Syndromes …

P Condron, DM Cornfeld, M Scadeng, TR Melzer… - Tomography, 2024 - mdpi.com
Ultra-high contrast (UHC) MRI describes forms of MRI in which litle or no contrast is seen on
conventional MRI images but very high contrast is seen with UHC techniques. One of these …

Diagnosis of Delayed Post-Hypoxic Leukoencephalopathy (Grinker's Myelinopathy) with MRI Using Divided Subtracted Inversion Recovery (dSIR) Sequences: Time …

G Newburn, P Condron, EE Kwon, JP McGeown… - Diagnostics, 2024 - mdpi.com
Background: Delayed Post-Hypoxic Leukoencephalopathy (DPHL), or Grinker's
myelinopathy, is a syndrome in which extensive changes are seen in the white matter of the …

Ultra-High Contrast MRI: Using Divided Subtracted Inversion Recovery (dSIR) and Divided Echo Subtraction (dES) Sequences to Study the Brain and Musculoskeletal …

D Cornfeld, P Condron, G Newburn, J McGeown… - Bioengineering, 2024 - mdpi.com
Divided and subtracted MRI is a novel imaging processing technique, where the difference
of two images is divided by their sum. When the sequence parameters are chosen properly …

Enhancing T1 signal of normal‐appearing white matter with divided subtracted inversion recovery: A pilot study in mild traumatic brain injury

L Losa, D Peruzzo, S Galbiati, F Locatelli… - NMR in …, 2024 - Wiley Online Library
Magnetic resonance imaging (MRI) and cognitive profiles in patients with mild traumatic
brain injury (mTBI) are often discordant. Conventional MRI seldom captures the full extent of …

Quantitative T1 and Effective Proton Density (PD*) mapping in children and adults at 7T from an MP2RAGE sequence optimised for uniform T1-weighted (UNI) and …

AS Dokumacı, K Vecchiato, R Tomi-Tricot, M Eyre… - medRxiv, 2024 - medrxiv.org
Introduction Quantitative MRI is important for non-invasive tissue characterisation. In
previous work we developed a clinically feasible multi-contrast protocol for T1-weighted …

Artificial intelligence in oncology: present potential, prospective prospects, and ethical reviews

AAR Mahmood, R Murgod… - International Journal of …, 2024 - ijtos.com
Over the last ten years, Artificial Intelligence (AI) has significantly contributed to solving
several health issues, such as cancer. Deep Learning (DL), a subset of adaptable AI that …