Demystifying T1-MRI to FDG 18 -PET Image Translation via Representational Similarity

Chia Hsiang Kao*, Yong Sheng Chen, Li Fen Chen, Wei Chen Chiu

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Recent development of image-to-image translation techniques has enabled the generation of rare medical images (e.g., PET) from common ones (e.g., MRI). Beyond the potential benefits of the reduction in scanning time, acquisition cost, and radiation exposure risks, the translation models in themselves are inscrutable black boxes. In this work, we propose two approaches to demystify the image translation process, where we particularly focus on the T1-MRI to PET translation. First, we adopt the representational similarity analysis and discover that the process of T1-MR to PET image translation includes the stages of brain tissue segmentation and brain region recognition, which unravels the relationship between the structural and functional neuroimaging data. Second, based on our findings, an Explainable and Simplified Image Translation (ESIT) model is proposed to demonstrate the capability of deep learning models for extracting gray matter volume information and identifying brain regions related to normal aging and Alzheimer’s disease, which untangles the biological plausibility hidden in deep learning models.

原文English
主出版物標題Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings
編輯Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
發行者Springer Science and Business Media Deutschland GmbH
頁面402-412
頁數11
ISBN(列印)9783030871987
DOIs
出版狀態Published - 9月 2021
事件24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 - Virtual, Online
持續時間: 27 9月 20211 10月 2021

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12903 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021
城市Virtual, Online
期間27/09/211/10/21

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