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Judith Herrmann, MD, PD, of the University Hospital Tübingen in Germany.
ISMRM 2025
ISMRM: AI reconstruction can improve sustainability in MRI
Researchers reported substantial energy and time savings from adoption of AI-based MR image reconstruction.
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Full-field digital mammography (FFDM) images in a 52-year-old woman show a high-risk phenotype (top), and FFDM images in a 58-year-old woman show a low-risk phenotype (bottom). The high-risk phenotype was defined by having high values of the first principal component (PC1) and was assigned to cluster 3 (top row), and the low-risk phenotype was defined by having low values of the PC1 and was assigned to cluster 1 (bottom row). The index images (left side; before any diagnosis of cancer) are provided as well as follow-up images obtained at either the time of cancer diagnosis (for the high-risk phenotype, top right) or at the last follow-up (low-risk phenotype, bottom right). The red circle indicates the location of subsequent breast cancer. Both women had a BI-RADS breast density of C. The woman at high risk for breast cancer was Black and the woman at low risk for breast cancer was white.
Womens Imaging
Breast texture patterns on mammo may predict cancer risk in dense breasts
Expected outcomes in brain metabolites
ISMRM 2025
ISMRM: MR spectroscopy captures neurochemistry changes after football hits
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Examples of hemodynamic parameter maps superimposed on their corresponding anatomic data for two participants. Participant A represents an example of good flow with lower right ventricle stasis, increased right atrium kinetic energy, and increased mean velocity when compared to the sample’s average calculations. Opposite findings are highlighted by the visualizations of participant B representing an example of poor flow.
ISMRM: 4D MRI reveals heart impairments in patients with COPD
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Invasive breast cancer is detected in left breast as an enhancing irregular mass. The mass is well visualized on reconstructed T1 weighted image. Images and caption courtesy of Soonhoi Ha, PhD, and the ISMRM.
ISMRM: Synthetic MRI feasible for breast cancer screening
May 12, 2025
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Video from ISMRM: Shintaro Ichikawa on MRI liver biomarkers
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Saif Afat, MD
ISMRM/ISMRT: 6 tips for making MR imaging more sustainable
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Judith Herrmann, MD, PD, of the University Hospital Tübingen in Germany.
ISMRM 2025
ISMRM: AI reconstruction can improve sustainability in MRI
Womens Imaging
Breast texture patterns on mammo may predict cancer risk in dense breasts
ISMRM 2025
ISMRM: MR spectroscopy captures neurochemistry changes after football hits
ISMRM 2025
ISMRM: 4D MRI reveals heart impairments in patients with COPD
ISMRM 2025
ISMRM: Synthetic MRI feasible for breast cancer screening
Workflow for FTD, AD, and CN classification using automated brain volumetry. Graphic and caption courtesy of Seung Hyun Lee and the ISMRM.
ISMRM 2025
ISMRM: Deep-learning tool shows promise in diagnosing frontotemporal dementia
MRI
CNN techniques outperform conventional DL for Alzheimer's diagnosis
Womens Imaging
About half of women undecided on AI's use in breast imaging
AI
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Atom Nuclear Lab
Software
Hermes releases Hermia software updates
Digital X-Ray
SimonMed rolls out advanced DEXA bone density scan
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RadNet posts Q1 2025 revenue
ISMRM 2025
GE HealthCare debuts Signa Sprint MRI system
ISMRM 2025
Philips teams with NVIDIA to build foundation model for MR AI
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Practice Management
Atom Nuclear Lab
Hermes releases Hermia software updates
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Hermes releases Hermia software updates
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The project builds on Vista-3D and MAISI.
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ISMRM: MRI is an 'indispensable' tool for AD diagnosis and staging
By Kate Madden Yee
MRI is an "indispensable" tool for the diagnosis and treatment staging of Alzheimer's disease, according to a talk delivered May 11 at the ISMRM 2025.
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Yuhei Takado, MD, PhD
Video from ISMRM: Katja Pinker lauds the many benefits of breast MRI
By Kate Madden Yee
In an interview with AuntMinnie, Katja Pinker, MD, PhD, offered an overview of current techniques and protocols for breast MRI.
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ISMRM: fMRI identifies key brain regions in superagers
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A lollipop plots showing the most important nodes by RF-MLA selected by Mean decrease in Gini for a 7 tesla fMRI dataset, with longer sticks meaning greater importance. Each group of networks’ nodes has its own color matching the same network’s color in the brain map. Nodes' names preceded by a red asterisk are repeated among different networks, matching the red nodes in the brain map, which appear in multiple networks.
ISMRM: Deep-learning tool shows promise in diagnosing frontotemporal dementia
By Maryam Payne
An automated brain volumetry model for MRI shows promising accuracy in diagnosing FTD, according to research presented at ISMRM 2025.
May 11, 2025
Workflow for FTD, AD, and CN classification using automated brain volumetry. Graphic and caption courtesy of Seung Hyun Lee and the ISMRM.
ISMRM: Novel MRI technique identifies changes in brain entropy
By Kate Madden Yee
A novel MRI technique called quantitative magnetization transfer (qMT) identifies changes in brain entropy due to normal aging.
May 11, 2025
Regions of interest depicted in colors: cerebrospinal fluid (blue), cortical gray matter (dark green), and white matter (yellow). Scatter plots present significant correlations between (b) [semi-solid spin pool size, or ms0m0s] entropy and age in cerebrospinal fluid and cortical gray matter, and (c) [longitudinal relaxation rates, or Rf1R1f] entropy and age in cortical gray matter and white matter (p < 0.05). Images, graphics, and caption courtesy of Sohae Chung, PhD, and the ISMRM.