Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm

David S. Lalush; Eric C. Frey; Benjamin M.W. Tsui

Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm

David S. Lalush, Eric C. Frey, Benjamin M.W. Tsui

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A method is presented for approximating constrained maximum entropy (ME) reconstructions of SPECT data with modifications to a block-iterative MAP algorithm. It is shown that the RBI-MAP algorithm, if used with a dynamic scheme for estimating β, can approximate constrained ME solutions in twenty or fewer iterations. Finally, results for various methods of achieving feasible images on a simulation of T1-201 cardiac SPECT data are compared.

Original language	English (US)
Title of host publication	IEEE Nuclear Science Symposium and Medical Imaging Conference
Publisher	IEEE
Pages	1157-1164
Number of pages	8
ISBN (Print)	0780350227
State	Published - 1999
Externally published	Yes
Event	Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can Duration: Nov 8 1998 → Nov 14 1998

Publication series

Name	IEEE Nuclear Science Symposium and Medical Imaging Conference
Volume	2

Other

Other	Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record
City	Toronto, Que, Can
Period	11/8/98 → 11/14/98

ASJC Scopus subject areas

Radiation
Nuclear and High Energy Physics
Radiology Nuclear Medicine and imaging

Cite this

Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm. / Lalush, David S.; Frey, Eric C.; Tsui, Benjamin M.W.
IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE, 1999. p. 1157-1164 (IEEE Nuclear Science Symposium and Medical Imaging Conference; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lalush, DS, Frey, EC & Tsui, BMW 1999, Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm. in IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE Nuclear Science Symposium and Medical Imaging Conference, vol. 2, IEEE, pp. 1157-1164, Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record, Toronto, Que, Can, 11/8/98.

@inproceedings{5a35dfda75fa4b3d9fc560db328c0b88,

title = "Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm",

abstract = "A method is presented for approximating constrained maximum entropy (ME) reconstructions of SPECT data with modifications to a block-iterative MAP algorithm. It is shown that the RBI-MAP algorithm, if used with a dynamic scheme for estimating β, can approximate constrained ME solutions in twenty or fewer iterations. Finally, results for various methods of achieving feasible images on a simulation of T1-201 cardiac SPECT data are compared.",

author = "Lalush, {David S.} and Frey, {Eric C.} and Tsui, {Benjamin M.W.}",

note = "Copyright: Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.; Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record ; Conference date: 08-11-1998 Through 14-11-1998",

year = "1999",

language = "English (US)",

isbn = "0780350227",

series = "IEEE Nuclear Science Symposium and Medical Imaging Conference",

publisher = "IEEE",

pages = "1157--1164",

booktitle = "IEEE Nuclear Science Symposium and Medical Imaging Conference",

}

TY - GEN

T1 - Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm

AU - Lalush, David S.

AU - Frey, Eric C.

AU - Tsui, Benjamin M.W.

PY - 1999

Y1 - 1999

N2 - A method is presented for approximating constrained maximum entropy (ME) reconstructions of SPECT data with modifications to a block-iterative MAP algorithm. It is shown that the RBI-MAP algorithm, if used with a dynamic scheme for estimating β, can approximate constrained ME solutions in twenty or fewer iterations. Finally, results for various methods of achieving feasible images on a simulation of T1-201 cardiac SPECT data are compared.

AB - A method is presented for approximating constrained maximum entropy (ME) reconstructions of SPECT data with modifications to a block-iterative MAP algorithm. It is shown that the RBI-MAP algorithm, if used with a dynamic scheme for estimating β, can approximate constrained ME solutions in twenty or fewer iterations. Finally, results for various methods of achieving feasible images on a simulation of T1-201 cardiac SPECT data are compared.

UR - http://www.scopus.com/inward/record.url?scp=0032596340&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032596340&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0032596340

SN - 0780350227

T3 - IEEE Nuclear Science Symposium and Medical Imaging Conference

SP - 1157

EP - 1164

BT - IEEE Nuclear Science Symposium and Medical Imaging Conference

PB - IEEE

T2 - Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record

Y2 - 8 November 1998 through 14 November 1998

ER -

Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm

Abstract

Publication series

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this