NDLI: Recovering missing diffusion signal data for reconstructing fiber orientations

Content Provider	IEEE Xplore Digital Library
Author	Changyu Sun Xiansheng Qin Lihui Wang Yuemin Zhu
Copyright Year	2011
Description	Author affiliation: Creatis, CNRS UMR 5220, Inserm 1044, INSA Lyon, University of Lyon, 69621 Villeurbanne, France (Lihui Wang; Yuemin Zhu) \|\| School of Mechatronics, Northwestern Polytechnical University, Xi'an 710072, China (Changyu Sun; Xiansheng Qin)
Abstract	Q-ball imaging (QBI) is a recent high angular resolution diffusion imaging technique for studying the orientation of fibers in the brain or heart, but it requires a high number of acquisitions, thus considerably lengthening acquisition time. Reducing diffusion data to be acquired while achieving the same fiber orientation reconstruction quality is then of fundamental importance. In this paper, we propose a new method of fiber orientation reconstruction from much less data acquisitions. The method is based on recovering missing diffusion data. It consists in imposing constraints both in q-space and in spatial space, applying data consistent principle in q-space, and iterating the process until no change is observed in the reconstructed orientation distribution function (ODF). The results show that using diffusion data in 12 directions, the reconstructed ODFs are rather close to those obtained with 42 diffusion directions, which allows shortening considerably acquisition time.
Starting Page	233
Ending Page	237
File Size	2210011
Page Count	5
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6099994
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Q-ball imaging Fourier transforms Image resolution interpolation Noise Magnetic resonance orientation distribution function Image reconstruction missing data Biomedical imaging fiber crossing
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

Model-free marginal orientation distribution function reconstruction in single-shell Q-Ball imaging

ODF reconstruction in q-ball imaging with solid angle consideration

Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Magnetic resonance in medicine.

Interpolation of orientation distribution functions (ODFs) in Q-ball imaging

Exact and analytic bayesian inference for orientation distribution functions

Fast High Resolution Wavelet Based Magnetic Resonance Imaging

On approximation of orientation distributions by means of spherical ridgelets

Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From $Q$-Ball Analysis

Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions

Recovering missing diffusion signal data for reconstructing fiber orientations

Similar Documents

Model-free marginal orientation distribution function reconstruction in single-shell Q-Ball imaging

ODF reconstruction in q-ball imaging with solid angle consideration

Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Magnetic resonance in medicine.

Interpolation of orientation distribution functions (ODFs) in Q-ball imaging

Exact and analytic bayesian inference for orientation distribution functions

Fast High Resolution Wavelet Based Magnetic Resonance Imaging

On approximation of orientation distributions by means of spherical ridgelets

Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From $Q$-Ball Analysis

Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions

Recovering missing diffusion signal data for reconstructing fiber orientations