NDLI: MANA - Multi scale adaptive normalized averaging

Content Provider	IEEE Xplore Digital Library
Author	Romu, T. Borga, M. Dahlqvist, O.
Copyright Year	2011
Description	Author affiliation: Dept of Radiation Physics, CKOC, University Hospital of Linkoping, Sweden (Romu, T.) \|\| Center for Medical Image Science and Visualization (CMIV), IMH, University of Linkoping, Sweden (Dahlqvist, O.) \|\| Dept of Biomedical Engineering, IMH, University of Linkoping, Sweden (Borga, M.)
Abstract	It is possible to correct intensity inhomogeneity in fat-water Magnetic Resonance Imaging (MRI) by estimating a bias field based on the observed intensities of voxels classified as the pure adipose tissue [1]. The same procedure can also be used to quantify fat volume and its distribution [2] which opens up for new medical applications. The bias field estimation method has to be robust since pure fat voxels are irregularly located and the density varies greatly within and between image volumes. This paper introduces Multi scale Adaptive Normalized Average (MANA) that solves this problem by basing the estimate on a scale space of weighted averages. By using the local certainty of the data MANA preserves details where the local data certainty is high and provides realistic values in sparse areas.
Starting Page	361
Ending Page	364
File Size	1019188
Page Count	4
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872424
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Convolution Polynomials Estimation Nonhomogeneous media Histograms Interpolation Algorithms Image Enhancement/methods Magnetic Resonance Imaging/methods Irregularly Sampled Data Artifacts
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
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