NDLI: Direct 3D PET image reconstruction into MR image space

Content Provider	IEEE Xplore Digital Library
Author	Gravel, P. Verhaeghe, J. Reader, A.J.
Copyright Year	2011
Description	Author affiliation: McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Quebec, H3A 2B4, Canada (Gravel, P.; Verhaeghe, J.; Reader, A.J.)
Abstract	A method which includes both the motion correction and image registration transformation parameters from PET image space to MR image space within the system matrix of the MLEM algorithm is presented. This approach can be of particular significance in the fields of neuroscience and psychiatry, whereby PET is used to investigate differences in activation patterns between groups of participants (such as healthy controls and patients). This requires all images to be registered in a common spatial atlas. Currently, image registration is performed post-reconstruction. This introduces interpolation effects in the final image and causes image resolution degradation. Furthermore, motion correction introduces a further level of interpolation and possible resolution degradation. To include the transformation parameters (both for motion correction and registration) within the iterative PET reconstruction framework (through iterative use of actual software packages routinely applied after reconstruction) should reduce these interpolation effects and thus improve image resolution. Furthermore, it opens the possibility of direct reconstruction of the PET data into standardized stereotaxic atlases, e.g. ICBM152. To validate the proposed method, this work investigates registration, using 2D and 3D simulations based on the HRRT scanner geometry, between different image spaces using rigid body transformation parameters calculated using the mutual information similarity criterion. The quality of reconstruction was assessed using bias-variance and mean absolute error analyses to quantify differences with current post-reconstruction registration methods. We demonstrate a reduction in bias and in mean absolute error in reconstructed mean ROI activity when using the proposed method.
Starting Page	3955
Ending Page	3962
File Size	3822368
Page Count	8
File Format	PDF
ISBN	9781467301183
ISSN	10823654
e-ISBN	9781467301206
DOI	10.1109/NSSMIC.2011.6153752
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatial resolution Image reconstruction Three dimensional displays Phantoms
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

Comparison of list-mode and DIRECT approaches for time-of-flight PET reconstruction

LOR-based reconstruction for super-resolved 3D PET image

Feasible uniform-resolution penalized likelihood reconstruction for static- and multi-frame 3D PET

Light field reconstruction

3D cone-beam rebinning and reconstruction for animal PET transmission tomography

Neuro-Fuzzy Based Approach for Analysing 3D PET Volume

A novel 3D surface construction approach: Application to three-dimensional endoscopic data

Evaluation of a new regularization prior for 3D PET reconstruction including PSF modelling

Compressive sensing LIDAR for 3D imaging

Direct 3D PET image reconstruction into MR image space

Similar Documents

Comparison of list-mode and DIRECT approaches for time-of-flight PET reconstruction

LOR-based reconstruction for super-resolved 3D PET image

Feasible uniform-resolution penalized likelihood reconstruction for static- and multi-frame 3D PET

Light field reconstruction

3D cone-beam rebinning and reconstruction for animal PET transmission tomography

Neuro-Fuzzy Based Approach for Analysing 3D PET Volume

A novel 3D surface construction approach: Application to three-dimensional endoscopic data

Evaluation of a new regularization prior for 3D PET reconstruction including PSF modelling

Compressive sensing LIDAR for 3D imaging

Direct 3D PET image reconstruction into MR image space