NDLI: Single input multiple output (SIMO) optimization for input function estimation: a simulation study

Content Provider	IEEE Xplore Digital Library
Author	Yi Su Welch, M.J. Shoghi, K.I.
Copyright Year	2007
Description	Author affiliation: Washington Univ., St. Louis (Yi Su; Welch, M.J.; Shoghi, K.I.)
Abstract	Blood input function (BIF) estimation is required in many applications. A minimally invasive approach based on single input multiple output (SIMO) system optimization was investigated for extraction of BIF from small animal dynamic PET images. In the SIMO based approaches, ROI curves from different regions were considered the output of the SIMO system and the BIF was the input. Parametric estimation was performed to estimate the BIF and the impulse responses. Feng et al. has previously reported the application of this approach on human brain images. The focus of this work was to examine its feasibility for small animal PET images, and in particular, with two regions of interest (ROI) defined in the heart area. Monte Carlo simulations were performed to generate multiple sets of the ROI curves. A weighted least square (WLS) approach was applied for estimation of the parametric input function, the kinetic parameters and the mixing coefficients for the TACs, with 0, 1 and 2 blood samples as constraints to the BIF. It was observed that the SIMO based approach was feasible for BIF estimation even with only one blood sample as constraint. The application of the blood sample constraints further improved the BIF estimation accuracy.
Starting Page	4481
Ending Page	4484
File Size	183465
Page Count	4
File Format	PDF
ISBN	9781424409228
ISSN	10957863
DOI	10.1109/NSSMIC.2007.4437106
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blood Animals Positron emission tomography Minimally invasive surgery Humans Brain Focusing Heart Least squares approximation Kinetic theory
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

A Fast Method for Kinetic Parameter Estimation

Kinetic parameters estimation for heterogeneous tumor model

Input recovery from noisy output measurements: a Monte Carlo method

Simultaneous Estimation of input functions: The B-SIME method

Combining brain imaging data with electronic health records to non-invasively quantify $[^{11}C]DASB$ binding

Determination of tracer arrival delay with spectral analysis

A Three-stage Parameter Estimation Algorithm for Tracer Concentration Kinetic Modelling with Positron Emission Tomography

Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [¹⁸F]FEPPA positron emission tomography.

Input signal reconstruction based on improved Moving Least Squares for nonlinear multiple-input multiple-output sensor

Single input multiple output (SIMO) optimization for input function estimation: a simulation study

Similar Documents

A Fast Method for Kinetic Parameter Estimation

Kinetic parameters estimation for heterogeneous tumor model

Input recovery from noisy output measurements: a Monte Carlo method

Simultaneous Estimation of input functions: The B-SIME method

Combining brain imaging data with electronic health records to non-invasively quantify $[^{11}C]DASB$ binding

Determination of tracer arrival delay with spectral analysis

A Three-stage Parameter Estimation Algorithm for Tracer Concentration Kinetic Modelling with Positron Emission Tomography

Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [18F]FEPPA positron emission tomography.

Input signal reconstruction based on improved Moving Least Squares for nonlinear multiple-input multiple-output sensor

Single input multiple output (SIMO) optimization for input function estimation: a simulation study

Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [¹⁸F]FEPPA positron emission tomography.