NDLI: Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection

Content Provider	IEEE Xplore Digital Library
Author	Zheng Li Quanzheng Li Xiaoli Yu Conti, P.S. Leahy, R.M.
Copyright Year	1982
Abstract	We describe a matched subspace detection algorithm to assist in the detection of small tumors in dynamic positron emission tomography (PET) images. The algorithm is designed to differentiate tumors from background using the time activity curves (TACs) that characterize the uptake of PET tracers. TACs are modeled using linear subspaces with additive Gaussian noise. Using TACs from a primary tumor region of interest (ROI) and one or more background ROIs, each identified by a human observer, two linear subspaces are identified. Applying a matched subspace detector to these identified subspaces on a voxel-by-voxel basis throughout the dynamic image produces a test statistic at each voxel which on thresholding indicates potential locations of secondary or metastatic tumors. The detector is derived for three cases: using a single TAC with white noise of unknown variance, using a single TAC with known noise covariance, and detection using multiple TACs within a small ROI with known noise covariance. The noise covariance is estimated for the reconstructed image from the observed sinogram data. To evaluate the proposed method, a simulation-based receiver operating characteristic (ROC) study for dynamic PET tumor detection is designed. The detector uses a dynamic sequence of frame-by-frame 2-D reconstructions as input. We compare the performance of the subspace detectors with that of a Hotelling observer applied to a single frame image and of the Patlak method applied to the dynamic data. We also show examples of the application of each detection approach to clinical PET data from a breast cancer patient with metastatic disease.
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	11
File Size	1068143
Starting Page	230
Ending Page	240
File Format	PDF
ISSN	02780062
Volume Number	28
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Positron emission tomography Neoplasms Detectors Metastasis Image reconstruction Detection algorithms Algorithm design and analysis Additive noise Gaussian noise receiver operating characteristic (ROC) analysis Dynamic positron emission tomography (PET) lesion detection matched subspace detector Dynamic PET ROC analysis
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

Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET

Matched subspace detection for dynamic PET: an ROC phantom study for MAP reconstruction

Experimental Comparison of Lesion Detectability for Four Fully-3D PET Reconstruction Schemes

A 3D difference-of-Gaussian-based lesion detector for brain PET

A 3D difference-of-gaussian-based lesion detector for brain pet

A new method of computer-aided feature identification for lesion detection in PET-FDG dynamic study

Adaptive Imaging for Lesion Detection Using a Zoom-in PET System

Robust non-gaussian matched subspace detectors ∗.

¹⁸F-fluorodeoxyglucose positron emission tomography-based prediction for splenectomy in patients with suspected splenic lymphoma.

Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection

Similar Documents

Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET

Matched subspace detection for dynamic PET: an ROC phantom study for MAP reconstruction

Experimental Comparison of Lesion Detectability for Four Fully-3D PET Reconstruction Schemes

A 3D difference-of-Gaussian-based lesion detector for brain PET

A 3D difference-of-gaussian-based lesion detector for brain pet

A new method of computer-aided feature identification for lesion detection in PET-FDG dynamic study

Adaptive Imaging for Lesion Detection Using a Zoom-in PET System

Robust non-gaussian matched subspace detectors ∗.

18F-fluorodeoxyglucose positron emission tomography-based prediction for splenectomy in patients with suspected splenic lymphoma.

Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection

¹⁸F-fluorodeoxyglucose positron emission tomography-based prediction for splenectomy in patients with suspected splenic lymphoma.