Results 221 to 230 of about 324,214 (307)

Application of MR Cytometry in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparative Study

open access: yesJournal of Magnetic Resonance Imaging, Volume 64, Issue 5, Page 1346-1360, November 2026.
ABSTRACT Background MR cytometry imaging is developed to characterize in vivo microstructures. Its clinical value in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer remains unknown. Purpose To implement MR cytometry to predict pCR for breast cancer and compare the performance of different ...
Jie Ding   +10 more
wiley   +1 more source

A Deep Nonlinear Subspace Modeling and Reconstruction for Diffusion‐Weighted Imaging Using Denoising Auto‐Encoder

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2359-2369, November 2026.
ABSTRACT Purpose To present a novel, nonlinear subspace modeling and joint k–q‐space reconstruction technique for high‐resolution, multi‐band, multi‐shell diffusion‐weighted imaging (DWI). Methods High b‐value (> 1000 s/mm2), high resolution DWI has the drawback of generally low signal‐to‐noise ratios (SNRs).
Julius Glaser   +4 more
wiley   +1 more source

Accelerating Stroke MRI With Diffusion Probabilistic Models Through Large‐Scale Pre‐Training and Target‐Specific Fine‐Tuning

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2396-2411, November 2026.
ABSTRACT Purpose To develop a data‐efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical stroke MRI when only limited fully‐sampled data are available. Methods Our simple training strategy first pre‐trains a DPM on a large, diverse collection of publicly ...
Yamin Arefeen   +4 more
wiley   +1 more source

3D and 4D Free‐Breathing Abdominal T1‐Weighted MRI in Clinical Practice Using Deep Learning Auto‐Navigation and Reconstruction

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2266-2277, November 2026.
ABSTRACT Purpose To develop and evaluate an automated clinical prototype for a 1‐min free‐breathing T1‐weighted 3D MRI and a 2.25‐min 4D MRI utilizing radial k‐space acquisition and deep learning (DL) auto‐navigation and reconstruction. Methods The clinical prototype was deployed on 3 T GE Healthcare scanners, using the GE DISCO‐Star (radial golden ...
Victor Murray   +8 more
wiley   +1 more source

Combined ADC and T2 Mapping in the Prostate Using a 3D Reduced FOV Sequence

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2292-2308, November 2026.
ABSTRACT Purpose To develop a 3D reduced FOV sequence for combined ADC and T2 mapping in the prostate in a single scan. Methods A 3D ADC and T2 mapping reduced FOV acquisition is enabled using T2 and diffusion preparation modules with slab‐selective tip‐down pulses and magnitude stabilizer gradients.
Yannik Ott   +8 more
wiley   +1 more source

Regularized Joint Reconstruction and Slab Combination for Accelerated Three‐Dimensional Multi‐Slab Diffusion‐Weighted Imaging Using Multi‐Scale Energy Models

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2321-2335, November 2026.
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani   +4 more
wiley   +1 more source

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