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MRI: Page 7
CNN techniques outperform conventional DL for Alzheimer's diagnosis
By
Kate Madden Yee
Convolutional neural network (CNN) techniques outperform conventional deep learning (DL) methods in diagnosing Alzheimer's.
May 7, 2025
AI model uses MRI data to predict brain cancer patient survival
By
Kate Madden Yee
Using AI with MRI can help assess outcomes in patients with brain cancer.
May 6, 2025
Ultrafast breast MRI's advantages may need to be reconsidered
By
Amerigo Allegretto
Ultrafast MRIÂ fell short of expectations when compared to DCE-MRI in terms of lesion conspicuity and classification.
May 6, 2025
ImagingU launches online MRI technologist assistant course
By
AuntMinnie.com staff writers
ImagingU has launched a new online MRI technologist assistant certification course.
May 5, 2025
Function Health acquires Ezra, launches full-body retail MRI exam
By
AuntMinnie.com staff writers
Function Health has acquired AI software developer Ezra.
May 5, 2025
ARRS: Hype is growing around whole-body MRI
By
Will Morton
Public interest in retail whole-body MRI is growing, and radiologists can play a key role in addressing the hype.
May 5, 2025
Seven Corners launches mobile MRI program
By
AuntMinnie.com staff writers
Seven Corners Healthcare, in partnership with Superior MRI Services, is launching a mobile MRI services program.
May 1, 2025
ARRS: MASLD diagnosis may be subject to racial factors
By
Kate Madden Yee
The diagnosis of metabolic-associated steatotic liver disease (MASLD) may be influenced by ethnic, racial, and social factors.
April 28, 2025
AI-assisted brain MRI shows promise for improved glioma care
By
Kate Madden Yee
An AI-based technique used to analyze brain MRI exams taken of children with gliomas shows promise for predicting recurrence.
April 25, 2025
Deep-learning technique boosts diagnostic ability of fast knee MRI
By
Kate Madden Yee
A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.
April 24, 2025
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
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
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![Images depict axial MRI scans in a 50-year-old premenopausal female patient with biopsy-proven 12-mm invasive lobular cancer in the lower outer quadrant of the left breast. Upper images are subtracted dynamic contrast-enhanced (DCE) MRI scans from the first and second postcontrast acquisitions. Lower images are ultrafast MRI scans obtained within 24 hours after the DCE study (four consecutive subtracted dynamic frames from time points [T] 6–9). There is marked background parenchymal enhancement (BPE) on the DCE MRI scans. Thus, the known cancer (arrow) is barely visible; it exhibits only slightly stronger enhancement than the normal fibroglandular tissue, which results in low conspicuity. At ultrafast MRI there is less BPE, and still the cancer is barely visible because it starts to enhance simultaneously with the BPE. The conspicuity of the cancer is even reduced compared with the DCE series. Both of the readers missed this cancer on both the DCE and ultrafast MRI scans.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2025/05/2025-05-06-rsna-ultrafast-dce-mri-breast.Gzvq76udFr.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
