Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling

We demonstrate that prior scans can be effectively integrated with state-of-the-art diffusion-based reconstruction methods to improve image quality and enable greater scan acceleration, without requiring an extensive longitudinally paired training data set.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2026-02-22
DOI
https://doi.org/10.1002/mrm.70257
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling

Abhinav Kumar, Yonatan Urman, Zachary Shah, Kawin Setsompop et al.
Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
article

Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling

Abhinav Kumar, Yonatan Urman, Zachary Shah, Kawin Setsompop, Bruno P. Soares
article en

Abstract

We demonstrate that prior scans can be effectively integrated with state-of-the-art diffusion-based reconstruction methods to improve image quality and enable greater scan acceleration, without requiring an extensive longitudinally paired training data set.

Magnetic Resonance in Medicine
University Radiology (US), Stanford University (US)
Openalex Percentile: Top 48%
Advanced MRI Techniques and Applications
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