Abstract #2786
Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies
Santiago Aja-Fernandez1, Carmen Martin-Martin1, Tomasz Pieciak1, Alvaro Planchuelo-Gomez1,2, Abrar Faiyaz3, Nasir Uddin3, Abhishek Tiwari4, Saurabh J. Shigwan4, Tianshu Zheng5, Zuozhen Cao5, Stefano B. Blumberg6, Snigdha Sen6, Mehmet Yigit Avci7, Zihan Li7, Xinyi Wang8, Zihao Tang8, Amelie Rauland9, Dorit Merhof10, Renata Manzano Maria11, Vinicius P. Campos11, SeyyedKazem HashemizadehKolowri12, Edward DiBella12, Chenxu Peng13, Zan Chen13, Irfan Ullah14, Merry Mani14, Samuel Eckstrom15, Steven H. Baete15, Scifitto Scifitto3, Rajeev Kumar Singh4, Dan Wu5, Tobias Goodwin-Allcock6, Paddy J. Slator6, Berkin Bilgic7, Qiyuan Tian7, Mariano Cabezas8, Tales Santini11, Marcelo Andrade da Costa Vieira11, Zhimin Shen13, Hesam Abdolmotalleby14, Patryk Filipiak15, Antonio Tristan-Vega1, and Rodrigo de Luis-Garcia1
1Universidad de Valladolid, Valladolid, Spain, 2CUBRIC, Cardiff University, Cardiff, United Kingdom, 3University of Rochester, Rochester, NY, United States, 4Shiv Nadar University, Delhi NCR, India, 5Zhejiang University, Hangzhou, China, 6Centre for Medical Image Computing, University College London, London, United Kingdom, 7Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 8University of Sydney, Sidney, Australia, 9RWTH Aachen University, Aachen, Germany, 10University of Regensburg, Regensburg, Germany, 11University of São Paulo, São Paulo, Brazil, 12University of Utah, Salt Lake City, UT, United States, 13Zhejiang University of Technology, Hangzhou, China, 14University of Iowa, Iowa City, IA, United States, 15New York University, New York, NY, United States
Synopsis
Keywords: White Matter, Brain, MigraineThis work gathers the results of the QuadD22 challenge, held in MICCAI 2022. We evaluate whether Deep Learning (DL) Techniques are able to improve the quality of diffusion MRI data in clinical studies. To that end, we focused on a real study on migraine, where the differences between groups are drastically reduced when using 21 gradient directions instead of 61. Thus, we asked the participants to augment dMRI data acquired with only 21 directions to 61 via DL. The results were evaluated using a real clinical study with TBSS in which we statistically compared episodic migraine to chronic migraine.
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