NDLI: Analysis of the parameterization of FORE-WLS reconstruction in 3D whole-body PET imaging

Content Provider	IEEE Xplore Digital Library
Author	Wollenweber, S.D.
Copyright Year	2003
Description	Author affiliation: GE Med. Syst., Milwaukee, WI, USA (Wollenweber, S.D.)
Abstract	The FORE-WLS (Fourier rebinning followed by a weighted least-squares iterative reconstruction) approach to 3D whole-body PET reconstruction has been investigated using a design-of-experiments (DOE) approach. Measures of image quality were analyzed at different algorithm parameterizations including lung mean value and variance, liver mean value and variance and a pseudomeasurement of resolution. One clinical 3-axial field-of-view (AFOV) study was analyzed with the DOE method and a set or parameter responses obtained. A subset of the parameters was then used in subsequent visual image quality investigations. Results: The DOE results show expected increase in resolution with number or iterations and degradation of resolution with increased post-filtering (the two main effects) but also changing the number of subsets from 20 to 40 showed a visual improvement. Lung variance degraded with number of iterations and improved with heavier post-filtering, but was somewhat less dependent on number of subsets. Liver variance showed a trend identical to lung variance as a function of parameterization, but the absolute parameter response range was over a factor of 2 for liver variance as compared to approximately a 40% range for lung variance. Mean value response for lung changed maximal by 13% while for liver it changed maximally by 31% as a function of parameterization. No significant parameter interactions were found. From subsequent visual analysis it was determined that a reasonable set of default parameters for the FORE-WLS algorithm was 3 iterations, 32 subsets, 4.30 mm loop filter and 6.0 mm post-filter. Conclusions: parameterization sensitivity of the FORE-WLS algorithm has been established. A suggested set of FORE-WLS parameters chosen from the range investigates has been made. Visual analysis of a set of clinical patient datasets has been done covering a range of 3D whole-body PET subjects and the default parameter choice appeared has been shown to be robust.
Starting Page	1486
Ending Page	1489
File Size	993978
Page Count	4
File Format	PDF
ISBN	0780376366
DOI	10.1109/NSSMIC.2002.1239602
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Image reconstruction Whole-body PET Lungs Liver US Department of Energy Image quality Algorithm design and analysis Degradation Iterative methods
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

Fast iterative image reconstruction of 3D PET data

A comparison between FORE+NECOSEM and NECOSEM 3D for whole-body PET imaging

3D PET reconstruction with FORE and WLS-OS-EM

Compensation of patient motion in PET using a rotator and list-mode reconstruction

Noise properties of four strategies for incorporation of scatter and attenuation information in PET reconstruction

A method of overlap correction for fully 3D OSEM reconstruction of PET data

Quantitative Analysis of PET Reconstruction Techniques over a Wide Activity Range with 2D and 3D Acquisition Modes

Whole body PET using overlapped 3D acquisition and weighted image summation

ROC analysis of ordered subset expectation maximization and filtered back projection technique for FDG-PET in lung cancer

Analysis of the parameterization of FORE-WLS reconstruction in 3D whole-body PET imaging

Similar Documents

Fast iterative image reconstruction of 3D PET data

A comparison between FORE+NECOSEM and NECOSEM 3D for whole-body PET imaging

3D PET reconstruction with FORE and WLS-OS-EM

Compensation of patient motion in PET using a rotator and list-mode reconstruction

Noise properties of four strategies for incorporation of scatter and attenuation information in PET reconstruction

A method of overlap correction for fully 3D OSEM reconstruction of PET data

Quantitative Analysis of PET Reconstruction Techniques over a Wide Activity Range with 2D and 3D Acquisition Modes

Whole body PET using overlapped 3D acquisition and weighted image summation

ROC analysis of ordered subset expectation maximization and filtered back projection technique for FDG-PET in lung cancer

Analysis of the parameterization of FORE-WLS reconstruction in 3D whole-body PET imaging