Generative Adversarial Training for MRA Image Synthesis Using Multi-contrast MRI

Sahin Olut*, Yusuf H. Sahin, Ugur Demir, Gozde Unal

*Corresponding author for this work

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

46 Citations (Scopus)

Abstract

Magnetic Resonance Angiography (MRA) has become an essential MR contrast for imaging and evaluation of vascular anatomy and related diseases. MRA acquisitions are typically ordered for vascular interventions, whereas in typical scenarios, MRA sequences can be absent in the patient scans. This motivates the need for a technique that generates inexistent MRA from existing MR multi-contrast, which could be a valuable tool in retrospective subject evaluations and imaging studies. We present a generative adversarial network (GAN) based technique to generate MRA from T1- and T2-weighted MRI images, for the first time to our knowledge. To better model the representation of vessels which the MRA inherently highlights, we design a loss term dedicated to a faithful reproduction of vascularities. To that end, we incorporate steerable filter responses of the generated and reference images as a loss term. Extending the well-established generator-discriminator architecture based on the recent PatchGAN model with the addition of steerable filter loss, the proposed steerable GAN (sGAN) method is evaluated on the large public database IXI. Experimental results show that the sGAN outperforms the baseline GAN method in terms of an overlap score with similar PSNR values, while it leads to improved visual perceptual quality.

Original languageEnglish
Title of host publicationPRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Proceedings
EditorsIslem Rekik, Gozde Unal, Ehsan Adeli, Sang Hyun Park
PublisherSpringer Science and Business Media Deutschland GmbH
Pages147-154
Number of pages8
ISBN (Print)9783030003197
DOIs
Publication statusPublished - 2018
Event1st International Workshop on PRedictive Intelligence in Medicine, PRIME 2018 Held in Conjunction with MICCAI 2018 - Granada, Spain
Duration: 16 Sept 201816 Sept 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11121 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on PRedictive Intelligence in Medicine, PRIME 2018 Held in Conjunction with MICCAI 2018
Country/TerritorySpain
CityGranada
Period16/09/1816/09/18

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2018.

Keywords

  • GANs
  • Image synthesis
  • MR angiography
  • Steerable filters

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