Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information

A. Rangarajan; I. T. Hsiao; G. Gindi

Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information

A. Rangarajan^*
, I. T. Hsiao
, G. Gindi

^*此作品的通信作者

Yale University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

5 引文斯高帕斯（Scopus）

摘要

We present a joint mixture model for integrating anatomical information in ECT reconstruction. The mixture model acts as a Bayesian prior with the added benefit of the anatomical segmentation pixel-region labels guiding the reconstruction process. An additional hyper-prior on the mixture occupation probability is introduced. This has the novel interpretation of maximizing the mutual information between the anatomical image and the evolving ECT reconstruction. Results are presented on a phantom with the bias/variance tradeoff being the indicator of performance.

原文	英語
主出版物標題	IEEE Nuclear Science Symposium and Medical Imaging Conference
發行者	IEEE
頁面	1584-1588
頁數	5
ISBN（列印）	0780350227
出版狀態	已出版 - 1999
對外發佈	是
事件	Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can 持續時間: 08 11 1998 → 14 11 1998

出版系列

名字	IEEE Nuclear Science Symposium and Medical Imaging Conference
卷	3

Conference

Conference	Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record
城市	Toronto, Que, Can
期間	08/11/98 → 14/11/98

其它文件與鏈接

Link to publication in Scopus

引用此

@inproceedings{137c71ae76a84a56925a0387d18ca492,

title = "Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information",

abstract = "We present a joint mixture model for integrating anatomical information in ECT reconstruction. The mixture model acts as a Bayesian prior with the added benefit of the anatomical segmentation pixel-region labels guiding the reconstruction process. An additional hyper-prior on the mixture occupation probability is introduced. This has the novel interpretation of maximizing the mutual information between the anatomical image and the evolving ECT reconstruction. Results are presented on a phantom with the bias/variance tradeoff being the indicator of performance.",

author = "A. Rangarajan and Hsiao, \{I. T.\} and G. Gindi",

year = "1999",

language = "英语",

isbn = "0780350227",

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

publisher = "IEEE",

pages = "1584--1588",

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

note = "Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record ; Conference date: 08-11-1998 Through 14-11-1998",

}

Rangarajan, A, Hsiao, IT & Gindi, G 1999, Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information. 於 IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE Nuclear Science Symposium and Medical Imaging Conference, 卷 3, IEEE, 頁 1584-1588, Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record, Toronto, Que, Can, 08/11/98.

Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information. / Rangarajan, A.; Hsiao, I. T.; Gindi, G.
IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE, 1999. p. 1584-1588 (IEEE Nuclear Science Symposium and Medical Imaging Conference; 卷 3).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information

AU - Rangarajan, A.

AU - Hsiao, I. T.

AU - Gindi, G.

PY - 1999

Y1 - 1999

N2 - We present a joint mixture model for integrating anatomical information in ECT reconstruction. The mixture model acts as a Bayesian prior with the added benefit of the anatomical segmentation pixel-region labels guiding the reconstruction process. An additional hyper-prior on the mixture occupation probability is introduced. This has the novel interpretation of maximizing the mutual information between the anatomical image and the evolving ECT reconstruction. Results are presented on a phantom with the bias/variance tradeoff being the indicator of performance.

AB - We present a joint mixture model for integrating anatomical information in ECT reconstruction. The mixture model acts as a Bayesian prior with the added benefit of the anatomical segmentation pixel-region labels guiding the reconstruction process. An additional hyper-prior on the mixture occupation probability is introduced. This has the novel interpretation of maximizing the mutual information between the anatomical image and the evolving ECT reconstruction. Results are presented on a phantom with the bias/variance tradeoff being the indicator of performance.

UR - https://www.scopus.com/pages/publications/0032596971

M3 - 会议稿件

AN - SCOPUS:0032596971

SN - 0780350227

T3 - IEEE Nuclear Science Symposium and Medical Imaging Conference

SP - 1584

EP - 1588

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 -

Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information

摘要

出版系列

Conference

其它文件與鏈接

指紋

引用此