NDLI: Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods

Content Provider	IEEE Xplore Digital Library
Author	Camara, O. Schweiger, M. Scahill, R.I. Crum, W.R. Sneller, B.I. Schnabel, J.A. Ridgway, G.R. Cash, D.M. Hill, D.L.G. Fox, N.C.
Copyright Year	1982
Abstract	The main goal of this work is the generation of ground-truth data for the validation of atrophy measurement techniques, commonly used in the study of neurodegenerative diseases such as dementia. Several techniques have been used to measure atrophy in cross-sectional and longitudinal studies, but it is extremely difficult to compare their performance since they have been applied to different patient populations. Furthermore, assessment of performance based on phantom measurements or simple scaled images overestimates these techniques' ability to capture the complexity of neurodegeneration of the human brain. We propose a method for atrophy simulation in structural magnetic resonance (MR) images based on finite-element methods. The method produces cohorts of brain images with known change that is physically and clinically plausible, providing data for objective evaluation of atrophy measurement techniques. Atrophy is simulated in different tissue compartments or in different neuroanatomical structures with a phenomenological model. This model of diffuse global and regional atrophy is based on volumetric measurements such as the brain or the hippocampus, from patients with known disease and guided by clinical knowledge of the relative pathological involvement of regions and tissues. The consequent biomechanical readjustment of structures is modelled using conventional physics-based techniques based on biomechanical tissue properties and simulating plausible tissue deformations with finite-element methods. A thermoelastic model of tissue deformation is employed, controlling the rate of progression of atrophy by means of a set of thermal coefficients, each one corresponding to a different type of tissue. Tissue characterization is performed by means of the meshing of a labelled brain atlas, creating a reference volumetric mesh that will be introduced to a finite-element solver to create the simulated deformations. Preliminary work on the simulation of acquisition artefacts is also presented. Cross-sectional and longitudinal sets of simulated data are shown and a visual classification protocol has been used by experts to rate real and simulated scans according to their degree of atrophy. Results confirm the potential of the proposed methodology
Sponsorship	IEEE Engineering in Medicine and Biology Society IEEE Nuclear and Plasma Sciences Society IEEE Signal Processing Society IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society
Page Count	14
File Size	1804995
Starting Page	1417
Ending Page	1430
File Format	PDF
ISSN	02780062
Volume Number	25
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atrophy Finite element methods Brain modeling Deformable models Measurement techniques Diseases Dementia Imaging phantoms Humans Magnetic resonance validation Alzheimer's disease atlas atrophy simulation creation of validation image databases dementia design of ground truth finite-element methods magnetic resonance imaging mesh warping modelling
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications Radiological and Ultrasound Technology Software

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

Phenomenological model of diffuse global and regional atrophy using finite-element methods (2006)

Tracking and finite element analysis of stripe deformation in magnetic resonance tagging

Twenty New Digital Brain Phantoms for Creation of Validation Image Data Bases

Biomechanical 3-D finite element modeling of the human breast using MRI data

DigiWarp: a method for deformable mouse atlas warping to surface topographic data

Encoding Probabilistic Brain Atlases Using Bayesian Inference

Experimental Validation of MRI Dosimetric Simulations in Phantoms Including Metallic Objects

MRI biomarkers in neurodegenerative disorders

Left ventricular motion reconstruction based on elastic vector splines

Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods

Similar Documents

Phenomenological model of diffuse global and regional atrophy using finite-element methods (2006)

Tracking and finite element analysis of stripe deformation in magnetic resonance tagging

Twenty New Digital Brain Phantoms for Creation of Validation Image Data Bases

Biomechanical 3-D finite element modeling of the human breast using MRI data

DigiWarp: a method for deformable mouse atlas warping to surface topographic data

Encoding Probabilistic Brain Atlases Using Bayesian Inference

Experimental Validation of MRI Dosimetric Simulations in Phantoms Including Metallic Objects

MRI biomarkers in neurodegenerative disorders

Left ventricular motion reconstruction based on elastic vector splines

Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods