Timothy Spence

2016
PET/MRI support grows, but jury's still out on its clinical value
It remains to be seen whether the combination of MRI and PET will overtake the more established PET/CT, but specialists at King's College London see the emerging hybrid imaging system as a powerful new tool in evaluating disease. They think the coupling of the two techniques could be part of a "paradigm shift" in cancer imaging, and in the future it may play a central role in diagnosing and treating neurological and cardiac diseases.
March 4, 2016
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2016
MR fingerprinting turns radiologists into detectives
Early tests on brain cancer patients show significant promise for the use of MR fingerprinting to produce previously unattainable quantitative information in a short time, according to Dr. Siegfried Trattnig of the Medical University of Vienna, where new research on 10 volunteers has been carried out since ECR 2015.
March 2, 2016
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2016
Industry must act to overcome artifacts and distortions
Hybrid imaging systems provide powerful tools for the detection and surveillance of disease, but manufacturers have been slow to provide the software that can help physicians recognize and interpret artifacts, a leading pioneer in the field believes.
March 1, 2016
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MRI
Deep-learning technique boosts diagnostic ability of fast knee MRI
A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.
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Molecular Imaging
PET scans identify people at early risk for cognitive decline
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Quantitative CT textures of the lung help assess COPD severity
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Deep-learning technique boosts diagnostic ability of fast knee MRI
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A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.
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PET scans identify people at early risk for cognitive decline
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Most veterans adhere to post-EVAR surveillance imaging
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Adherence to surveillance imaging after endovascular abdominal aortic aneurysm repair (EVAR) is high among veterans.
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Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).
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By Liz Carey
Medtech industry and health leaders from big tech have introduced a new AI Policy Roadmap.
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ACS: Breast cancer screening rates have recovered post-COVID
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Lung POCUS helps diagnose dyspnea in emergency departments
By Amerigo Allegretto
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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.
MRI tool segments over 60 abdominal organs, structures
By Amerigo Allegretto
An automated multiorgan tool can accurately segment T1-weighted abdominal MR images.
April 22, 2025
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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
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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.
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Ultrasound-based model finds endometrial malignancies
By Amerigo Allegretto
Clinical and ultrasound features improve diagnostic accuracy for detecting endometrial malignancy.
April 22, 2025
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