Authors: | Elkin, R.; Nadeem, S.; Haber, E.; Steklova, K.; Lee, H.; Benveniste, H.; Tannenbaum, A. |
Title: | GlymphVIS: Visualizing glymphatic transport pathways using regularized optimal transport |
Conference Title: | 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) |
Abstract: | The glymphatic system (GS) is a transit passage that facilitates brain metabolic waste removal and its dysfunction has been associated with neurodegenerative diseases such as Alzheimer’s disease. The GS has been studied by acquiring temporal contrast enhanced magnetic resonance imaging (MRI) sequences of a rodent brain, and tracking the cerebrospinal fluid injected contrast agent as it flows through the GS. We present here a novel visualization framework, GlymphVIS, which uses regularized optimal transport (OT) to study the flow behavior between time points at which the images are taken. Using this regularized OT approach, we can incorporate diffusion, handle noise, and accurately capture and visualize the time varying dynamics in GS transport. Moreover, we are able to reduce the registration mean-squared and infinity-norm error across time points by up to a factor of 5 as compared to the current state-of-the-art method. Our visualization pipeline yields flow patterns that align well with experts’ current findings of the glymphatic system. © Springer Nature Switzerland AG 2018. |
Keywords: | magnetic resonance imaging; cerebrospinal fluid; medical imaging; visualization; medical computing; neurodegenerative diseases; magnetic resonance imaging (mri); transport pathways; optimal transport; novel visualizations; state-of-the-art methods; temporal contrast; time-varying dynamics; visualization pipeline |
Journal Title | Lecture Notes in Computer Science |
Volume: | 11070 |
Conference Dates: | 2018 Sep 16-20 |
Conference Location: | Granada, Spain |
ISBN: | 0302-9743 |
Publisher: | Springer |
Location: | Cham, Switzerland |
Date Published: | 2018-01-01 |
Start Page: | 844 |
End Page: | 852 |
Language: | English |
DOI: | 10.1007/978-3-030-00928-1_95 |
PROVIDER: | scopus |
PMCID: | PMC6426141 |
PUBMED: | 30906935 |
DOI/URL: | |
Notes: | Conference Paper -- Export Date: 1 November 2018 -- Source: Scopus |