Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

Aleksandr Belov, Joël Stadelmann, Sergey Kastryulin, Dmitry V. Dylov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We went below the MRI acceleration factors (a.k.a., k-space undersampling) reported by all published papers that reference the original fastMRI challenge [29], and then used deep learning based image enhancement methods to compensate for the underresolved images. We thoroughly study the influence of the sampling patterns, the undersampling and the downscaling factors, as well as the recovery models on the final image quality for both the brain and the knee fastMRI benchmarks. The quality of the reconstructed images compares favorably against other methods, yielding an MSE of 11.4 · 10 - 4, a PSNR of 29.6 dB, and an SSIM of 0.956 at × 16 acceleration factor. More extreme undersampling factors of × 32 and × 64 are also investigated, holding promise for certain clinical applications such as computer-assisted surgery or radiation planning. We survey 5 expert radiologists to assess 100 pairs of images and show that the recovered undersampled images statistically preserve their diagnostic value.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings
EditorsMarleen de Bruijne, Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
PublisherSpringer Science and Business Media Deutschland GmbH
Pages254-264
Number of pages11
ISBN (Print)9783030872304
DOIs
Publication statusPublished - 2021
Event24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 - Virtual, Online
Duration: 27 Sep 20211 Oct 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12906 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021
CityVirtual, Online
Period27/09/211/10/21

Keywords

  • Fast MRI
  • Image-to-image translation
  • Superresolution

Fingerprint

Dive into the research topics of 'Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution'. Together they form a unique fingerprint.

Cite this