ML Anthology

Family of Deep Image Prior Networks for Accelerated 3D LGE-MRI Acquisition with Enhanced Reconstruction

Md Hasibul Husain Hisham, Shireen Elhabian, Ganesh Adluru, Andrew Arai, Eugene Kholmovski, Ravi Ranjan, Edward Dibella
MIDL 2025
/midl/2025/hisham2025midl-family/

Abstract

Late Gadolinium Enhancement (LGE) MRI is essential for visualizing and treating left atrial fibrosis, but current protocols require lengthy acquisition times (7-20 minutes) and often produce suboptimal image quality. While recent advances in isotropic imaging have shown promise, scan times of 12-15 minutes still present clinical challenges. This study evaluates the efficacy of existing Deep Image Prior (DIP) frameworks for accelerated 3D LGE-MRI reconstruction. We comprehensively assess multiple DIP variants - vanilla DIP, reference-guided DIP, DIP with Total Variation, and self-guided DIP - on their ability to reconstruct high-quality isotropic (1.25mm$^3$) images from highly undersampled k-space data. Using data from 10 subjects, we demonstrate that self-guided DIP achieves superior reconstruction quality (PSNR: 32.8±1.2 dB, SSIM: 0.891±0.015 at 1/4th of acquisition time) compared to traditional compressed sensing and other DIP variants. Our evaluation shows that DIP-based reconstruction can maintain diagnostic quality with acquisition times reduced to 2-4 minutes, particularly in preserving thin left atrial wall details. These findings suggest that DIP-based methods could improve clinical workflow efficiency and patient comfort in high-resolution 3D LGE studies for atrial fibrillation patients.

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Cite

Text

Hisham et al. "Family of Deep Image Prior Networks for Accelerated 3D LGE-MRI Acquisition with Enhanced Reconstruction." Medical Imaging with Deep Learning, 2025.

Markdown

[Hisham et al. "Family of Deep Image Prior Networks for Accelerated 3D LGE-MRI Acquisition with Enhanced Reconstruction." Medical Imaging with Deep Learning, 2025.](https://mlanthology.org/midl/2025/hisham2025midl-family/)

BibTeX

@inproceedings{hisham2025midl-family,
  title     = {{Family of Deep Image Prior Networks for Accelerated 3D LGE-MRI Acquisition with Enhanced Reconstruction}},
  author    = {Hisham, Md Hasibul Husain and Elhabian, Shireen and Adluru, Ganesh and Arai, Andrew and Kholmovski, Eugene and Ranjan, Ravi and Dibella, Edward},
  booktitle = {Medical Imaging with Deep Learning},
  year      = {2025},
  url       = {https://mlanthology.org/midl/2025/hisham2025midl-family/}
}