Erik L. Ridley, Kate Madden Yee, Will Morton, Amerigo Allegretto, and Frances Rylands-Monk

Home
Minnies winners for 2022 feature photon-counting CT, AI
Minnies winners, page 3
October 27, 2022
2022 09 28 18 28 8165 2022 09 28 Naeotom Alpha
Home
Minnies winners for 2022 feature photon-counting CT, AI
Minnies winners, page 2
October 27, 2022
2022 10 26 16 13 1049 2022 10 27 Minnies Hottest Proc Coronal Chest
Home
Minnies winners for 2022 feature photon-counting CT, AI
The 2022 Minnies awards showcase the growing momentum and clinical impact of photon-counting CT. The burgeoning technology featured in three different categories: Hottest Clinical Procedure, Best New Radiology Device, and Image of the Year.
October 27, 2022
2016 10 26 09 10 53 654 Minnies Logo Winner 400
Page 1 of 1
Top Stories
Copd
CT
Quantitative CT textures of the lung help assess COPD severity
Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).
Data Protection Nijat
AI
Health data restrictions plague medtech AI developers
Breast Screening Mammo
Womens Imaging
ACS: Breast cancer screening rates have recovered post-COVID
Images show lung ultrasound findings of major pleuro-pulmonary pathologies. (a) Pleural effusion; (b) Pneumonia; (c) Bronchopneumonia; (d) Acute pulmonary edema; (e) Chronic obstructive pulmonary disease exacerbation; (f) Pleuropulmonary tumors; (g) Acute respiratory distress syndrome.
Ultrasound
Lung POCUS helps diagnose dyspnea in emergency departments
Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
MRI
AI produces synthetic 3T MR images from portable scans
More in Home
Quantitative CT textures of the lung help assess COPD severity
By Kate Madden Yee
Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).
April 23, 2025
Copd
Health data restrictions plague medtech AI developers
By Liz Carey
Medtech industry and health leaders from big tech have introduced a new AI Policy Roadmap.
April 23, 2025
Data Protection Nijat
ACS: Breast cancer screening rates have recovered post-COVID
By Kate Madden Yee
Rates of up-to-date breast cancer screening have recovered after declining during the COVID-19 pandemic.
April 23, 2025
Breast Screening Mammo
Lung POCUS helps diagnose dyspnea in emergency departments
By Amerigo Allegretto
Point-of-care lung ultrasound may be useful in the emergency department for diagnosing dyspnea.
April 23, 2025
Images show lung ultrasound findings of major pleuro-pulmonary pathologies. (a) Pleural effusion; (b) Pneumonia; (c) Bronchopneumonia; (d) Acute pulmonary edema; (e) Chronic obstructive pulmonary disease exacerbation; (f) Pleuropulmonary tumors; (g) Acute respiratory distress syndrome.
AI produces synthetic 3T MR images from portable scans
By Erik L. Ridley
Findings show that AI could potentially expand the utility of neuroimaging on portable MRI systems.
April 22, 2025
Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
Machine learning standardizes bone tumor grading on MRI, CT
By Kate Madden Yee
An AI algorithm and an updated risk stratification system produce accurate and standardized bone lesion assessment on CT and MRI.
April 22, 2025
2025 04 22 Radiology Lemore Figure2 Thumbnail
Accelerated MRI protocols reduce environmental impact
By Will Morton
Accelerating MRI protocols can cut greenhouse gas emissions, energy use, and costs, while also improving patient access and revenue.
April 22, 2025
Environment
Ultrasound-based model finds endometrial malignancies
By Amerigo Allegretto
Clinical and ultrasound features improve diagnostic accuracy for detecting endometrial malignancy.
April 22, 2025
Ultrasound Gynecologist
Ukrainian refugees at higher risk of advanced breast cancers
By Amerigo Allegretto
Ukrainian refugee women have double the odds of having advanced-stage breast cancer compared with Polish citizens.
April 22, 2025
Ukrainian Flag
Right-to-repair battle heats up in North Carolina
By Liz Carey
North Carolina legislation, if passed, will require original equipment manufacturers to support medical equipment repair providers.
April 21, 2025
Us Nc Flag
Combined PET scans predict the progression of Alzheimer’s disease
By Will Morton
Combining information from amyloid PET and FDG-PET scans can predict progression from mild cognitive impairment to Alzheimer's.
April 21, 2025
Ad Pet Fdg Thumbnail
Report: Cancer incidence rates trending upward for women
By Liz Carey
New cancer diagnoses have been increasing slightly every year among women, but deaths from cancer have been declining steadily.
April 21, 2025
Cancer Maze (1)
Page 1 of 131
Next Page