NDLI: Regularized reconstruction in quantitative SPECT using CT side information from hybrid imaging

Content Provider	PubMed Central
Author	Dewaraja, Yuni K. Koral, Kenneth F. Fessler, Jeffrey A.
Abstract	A penalized-likelihood (PL) SPECT reconstruction method using a modified regularizer that accounts for anatomical boundary side information was implemented to achieve accurate estimates of both the total target activity and the activity distribution within targets. In both simulations and experimental I-131 phantom studies, reconstructions from (1) penalized likelihood employing CT-side information-based regularization (PL-CT), (2) penalized likelihood with edge preserving regularization (no CT) and (3) penalized likelihood with conventional spatially invariant quadratic regularization (no CT) were compared with (4) ordered subset expectation maximization (OSEM), which is the iterative algorithm conventionally used in clinics for quantitative SPECT. Evaluations included phantom studies with perfect and imperfect side information and studies with uniform and non-uniform activity distributions in the target. For targets with uniform activity, the PL-CT images and profiles were closest to the ‘truth’, avoided the edge offshoots evident with OSEM and minimized the blurring across boundaries evident with regularization without CT information. Apart from visual comparison, reconstruction accuracy was evaluated using the bias and standard deviation (STD) of the total target activity estimate and the root mean square error (RMSE) of the activity distribution within the target. PL-CT reconstruction reduced both bias and RMSE compared with regularization without side information. When compared with unregularized OSEM, PL-CT reduced RMSE and STD while bias was comparable. For targets with non-uniform activity, these improvements with PL-CT were observed only when the change in activity was matched by a change in the anatomical image and the corresponding inner boundary was also used to control the regularization. In summary, the present work demonstrates the potential of using CT side information to obtain improved estimates of the activity distribution in targets without sacrificing the accuracy of total target activity estimation. The method is best suited for data acquired on hybrid systems where SPECT-CT misregistration is minimized. To demonstrate clinical application, the PL reconstruction with CT-based regularization was applied to data from a patient who underwent SPECT/CT imaging for tumor dosimetry following I-131 radioimmunotherapy.
Related Links	http://dx.doi.org/10.1088/0031-9155/55/9/007
Ending Page	2539
Page Count	17
Starting Page	2523
File Format	PDF
ISSN	00319155
e-ISSN	13616560
Journal	Physics in medicine and biology
Issue Number	9
Volume Number	55
Language	English
Publisher Date	2010-05-07
Access Restriction	Open
Subject Keyword	Radiological and Ultrasound Technology Radiology Nuclear Medicine and imaging Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Radiological and Ultrasound Technology

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

Post-Reconstruction Non-Local Means Filtering Methods using CT Side Information for Quantitative SPECT

Quantitative 177Lu SPECT (QSPECT) imaging using a commercially available SPECT/CT system

Sparsity-Regularized Image Reconstruction of Decomposed K-Edge Data in Spectral CT

Quantitative evaluation study of four-dimensional gated cardiac SPECT reconstruction †

Improved dose-volume histogram estimates for radiopharmaceutical therapy by optimizing quantitative SPECT reconstruction parameters

A Channelized Hotelling Observer Study of Lesion Detection in SPECT MAP Reconstruction Using Anatomical Priors

Exact emission SPECT reconstruction with truncated transmission data

L0 constrained sparse reconstruction for multi-slice helical CT reconstruction

CT-based quantitative SPECT for the radionuclide 201Tl: experimental validation and a standardized uptake value for brain tumour patients

Regularized reconstruction in quantitative SPECT using CT side information from hybrid imaging

Similar Documents

Post-Reconstruction Non-Local Means Filtering Methods using CT Side Information for Quantitative SPECT

Quantitative 177Lu SPECT (QSPECT) imaging using a commercially available SPECT/CT system

Sparsity-Regularized Image Reconstruction of Decomposed K-Edge Data in Spectral CT

Quantitative evaluation study of four-dimensional gated cardiac SPECT reconstruction †

Improved dose-volume histogram estimates for radiopharmaceutical therapy by optimizing quantitative SPECT reconstruction parameters

A Channelized Hotelling Observer Study of Lesion Detection in SPECT MAP Reconstruction Using Anatomical Priors

Exact emission SPECT reconstruction with truncated transmission data

L0 constrained sparse reconstruction for multi-slice helical CT reconstruction

CT-based quantitative SPECT for the radionuclide 201Tl: experimental validation and a standardized uptake value for brain tumour patients

Regularized reconstruction in quantitative SPECT using CT side information from hybrid imaging