NDLI: A neighborhood-based probabilistic approach for fiber tracking in human cardiac DTI

Content Provider	IEEE Xplore Digital Library
Author	Hongying Li Robini, M. Feng Yang Yuemin Zhu
Copyright Year	2012
Description	Author affiliation: CREATIS (CNRS UMR 5220, Inserm U1044), INSA Lyon, 69621 Villeurbanne cedex, France (Hongying Li; Robini, M.; Feng Yang; Yuemin Zhu)
Abstract	Fiber tracking techniques are essential for representing and visualizing the cardiac fiber architecture information encoded in diffusion-tensor imaging (DTI) data. We propose a neighborhood-based probabilistic fiber tracking method for cardiac DTI which accounts for spatial correlation and data uncertainty. The method consists in tracking fiber paths by sampling step directions from a normalized weighted sum of local fiber orientation probability distributions. The sum is over a predefined neighborhood of the current position in the fiber path, and the weights depend on fractional anisotropy, angular change and distance to the current position. Experimental results on synthetic data and on real human cardiac data show that, compared to the streamlining approach, the proposed method is meaningfully more robust to noise and produces smoother and more consistent fibers.
Starting Page	9
Ending Page	13
File Size	1012618
Page Count	5
File Format	PDF
ISBN	9781457718571
ISSN	19457928
e-ISBN	9781457718588
DOI	10.1109/ISBI.2012.6235471
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Diffusion tensor imaging Humans Noise Standards Probabilistic logic Correlation probabilistic tracking Magnetic resonance imaging (MRI) diffusion-tensor imaging (DTI) fiber tracking
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Quantitative study of fiber tracking results in human cardiac DTI

Probabilistic fiber tracking using a modified Lasso bootstrap method

A global approach to cardiac tractography

An Adaptive Denoising Method Dedicated to Cardiac MR-DTI

Optimization of Number of Diffusion Gradient Directions on anisotropy indices and deterministic fiber tracking for diffusion tensor imaging

White Matter Fiber Tracking Method by Vector Interpolation with Diffusion Tensor Imaging Data in Human Brain

A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts

Interpolation of human cardiac DT-MRI data using polar coordinates

Use of High-Tc Superconducting Tape RF Coils for Non-invasive Fiber Tracking on Diffusion Tensor MRI application

A neighborhood-based probabilistic approach for fiber tracking in human cardiac DTI

Similar Documents

Quantitative study of fiber tracking results in human cardiac DTI

Probabilistic fiber tracking using a modified Lasso bootstrap method

A global approach to cardiac tractography

An Adaptive Denoising Method Dedicated to Cardiac MR-DTI

Optimization of Number of Diffusion Gradient Directions on anisotropy indices and deterministic fiber tracking for diffusion tensor imaging

White Matter Fiber Tracking Method by Vector Interpolation with Diffusion Tensor Imaging Data in Human Brain

A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts

Interpolation of human cardiac DT-MRI data using polar coordinates

Use of High-Tc Superconducting Tape RF Coils for Non-invasive Fiber Tracking on Diffusion Tensor MRI application

A neighborhood-based probabilistic approach for fiber tracking in human cardiac DTI