Quantification of fiber orientation uncertainty in polarized light imaging of the human brain

Daniel Schmitz; Thomas Lippert; Katrin Amunts; Markus Axer

doi:10.1117/12.2548935

16 March 2020 Quantification of fiber orientation uncertainty in polarized light imaging of the human brain

Daniel Schmitz, Thomas Lippert, Katrin Amunts, Markus Axer

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 1131239 (2020) https://doi.org/10.1117/12.2548935
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Three-dimensional Polarized Light Imaging (3D-PLI) enables the investigation of nerve fibers in the brain by probing their birefringence with polarimetric measurements of unstained brain sections. Based on a biophysical model, it allows the estimation of the three-dimensional fiber orientation. In this work, a novel probabilistic approach capable of providing confidence measures for the inferred fiber orientation is introduced. The developed analysis utilizes Bayesian inference to derive a distribution for the model parameters. Simulations show that the obtained confidence measures are accurate. On human brain data, the novel algorithm enables to quantify levels of confidence in 3D-PLI for the first time. The method shows that fiber orientation estimation in 3D-PLI is robust for white matter regions.

Citation Download Citation

Daniel Schmitz, Thomas Lippert, Katrin Amunts, and Markus Axer "Quantification of fiber orientation uncertainty in polarized light imaging of the human brain", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 1131239 (16 March 2020); https://doi.org/10.1117/12.2548935

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available