NDLI: Quantitative wavelet domain image processing of dynamic PET data

Content Provider	IEEE Xplore Digital Library
Author	Erlandsson, K. Jin, Y. Wong, A.T. Esser, P.D. Laine, A.F. Ogden, R.T. Oquendo, M.A. van Heertum, R. Mann, J.J. Parsey, R.V.
Copyright Year	2006
Description	Author affiliation: Dept. of Psychiatry & Radiol., Columbia Univ., New York, NY (Erlandsson, K.)
Abstract	Neuroreceptor PET studies consisting of long dynamic data acquisitions result in data with low signal-to-noise ratio and limited spatial resolution. To address these problems we have developed a 3D wavelet-based image processing tool (wavelet filter, WF), containing both denoising and enhancement functionality. The filter is based on multi-scale thresholding and cross-scale regularization. These operations are data-driven, which may lead to non-linearity effects and hamper quantification of dynamic PET data. The aim of the present study was to investigate these effects using both phantom and human PET data. A phantom study was performed with a cylindrical phantom, filled with $^{18}F,$ containing a number of spherical inserts filled with $^{11}C.$ Human studies were performed on 9 healthy volunteers after injection of the serotonine transporter tracer $[^{11}C]DASB.$ Images from both phantom and human studies were reconstructed with filtered backprojection and post-processed by WF with a series of different denoising and enhancement parameter values. The phantom study was analyzed by computing the insert-to-background ratio as a function of time. The human study was analyzed with a 1-tissue compartment model for a series of brain regions. For the phantom study, linear relations were found between unprocessed and WF processed data for positive contrasts. However, for negative contrast, non-linearity effects were observed. For the human data, good correlation was obtained between results from unprocessed and WF processed data. Our results showed that, although non-linear effects may appear in low-contrast areas, it is possible to achieve accurate quantification with wavelet-based image processing
Sponsorship	IEEE EMB
Starting Page	2787
Ending Page	2790
File Size	386238
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.259525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet domain Image processing Positron emission tomography Imaging phantoms Humans Filters Noise reduction Data acquisition Signal to noise ratio Spatial resolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

Supersampling in PET. A concept for improvement of the resolution of positron emission tomography

Image resolution improvement based on sinogram super-resolution in PET

A Differential Evolution Approach to PET Image De-noising

Implementation of noise reduction for PET using hybrid nonlinear wavelet shrinkage method

De-noising of SPECT images via optimal thresholding by wavelets

Parametric imaging via kinetics-induced filter for dynamic positron emission tomography

Reconstruction of Dynamic PET Data Using Spatio-Temporal Wavelet l1 Regularization

Assessment of PSF modeling in PET AWOSEM reconstruction

Unsupervised tumour segmentation in PET based on local and global intensity fitting active surface and alpha matting

Quantitative wavelet domain image processing of dynamic PET data

Similar Documents

Supersampling in PET. A concept for improvement of the resolution of positron emission tomography

Image resolution improvement based on sinogram super-resolution in PET

A Differential Evolution Approach to PET Image De-noising

Implementation of noise reduction for PET using hybrid nonlinear wavelet shrinkage method

De-noising of SPECT images via optimal thresholding by wavelets

Parametric imaging via kinetics-induced filter for dynamic positron emission tomography

Reconstruction of Dynamic PET Data Using Spatio-Temporal Wavelet l1 Regularization

Assessment of PSF modeling in PET AWOSEM reconstruction

Unsupervised tumour segmentation in PET based on local and global intensity fitting active surface and alpha matting

Quantitative wavelet domain image processing of dynamic PET data