Evaluating a visualization of uncertainty in probabilistic tractography

Anette von Kapri; Tobias Rick; Svenja Caspers; Simon B. Eickhoff; Karl Zilles; Torsten Kuhlen

doi:10.1117/12.843808

23 February 2010 Evaluating a visualization of uncertainty in probabilistic tractography

Anette von Kapri, Tobias Rick, Svenja Caspers, Simon B. Eickhoff, Karl Zilles, Torsten Kuhlen

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 762534 (2010) https://doi.org/10.1117/12.843808
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

In this paper we evaluate a visualization approach for representing uncertainty information in probabilistic fiber pathways in the human brain. We employ a semi-transparent volume rendering method where probabilities of fiber tracts are conveyed by colors and opacities (cf. Figure 1). Anatomic orientation is provided by placing anatomic landmarks in form of cortial or functional defined brain areas. In order to quantify the effectiveness of our approach we have conducted a formal user study concerning preferred anatomic context information and coloring of fiber tracts.

Citation Download Citation

Anette von Kapri, Tobias Rick, Svenja Caspers, Simon B. Eickhoff, Karl Zilles, and Torsten Kuhlen "Evaluating a visualization of uncertainty in probabilistic tractography", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 762534 (23 February 2010); https://doi.org/10.1117/12.843808

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