Anatomy-guided brain pet imaging incorporating a joint prior model

Lijun Lu; Jianhua Ma; Jing Tang; Qianjin Feng; Arman Rahmim; Wufan Chen

doi:10.1109/isbi.2014.6868031

Anatomy-guided brain pet imaging incorporating a joint prior model

Lijun Lu
, Jianhua Ma
, Jing Tang
, Qianjin Feng
, Arman Rahmim
, Wufan Chen

Southern Medical University
Oakland University
Johns Hopkins University

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

2 Scopus citations

Abstract

We proposed a maximum a posterior (MAP) framework for incorporating information from co-registered anatomical images into PET image reconstruction through a novel anato-functional joint prior. The characteristic of the utilized hyperbolic potential function is determinate by the voxel intensity differences within the anatomical image, while the penalization is computed based on voxel intensity differences in reconstructed PET images. Using realistic simulated short time ¹⁸FDG PET scan data, we optimized the performance of the proposed MAP reconstruction with the joint prior (JP-MAP), and compared its performance with conventional 3D maximum likelihood expectation maximization (MLEM) and MAP reconstructions. The proposed JP-MAP reconstruction algorithm resulted in quantitatively enhanced reconstructed images, as demonstrated in extensive ¹⁸FDG PET simulation study.

Original language	English
Title of host publication	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	959-962
Number of pages	4
ISBN (Electronic)	9781467319591
DOIs	https://doi.org/10.1109/isbi.2014.6868031
State	Published - 29 Jul 2014
Externally published	Yes
Event	11th IEEE International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China Duration: 29 Apr 2014 → 2 May 2014

Publication series

Name	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Conference

Conference	11th IEEE International Symposium on Biomedical Imaging, ISBI 2014
Country/Territory	China
City	Beijing
Period	29/04/14 → 2/05/14

Keywords

Anatomical priors
Joint prior
Maximum a posterior
Positron emission tomography

Access to Document

10.1109/isbi.2014.6868031

Cite this

Lu, L., Ma, J., Tang, J., Feng, Q., Rahmim, A., & Chen, W. (2014). Anatomy-guided brain pet imaging incorporating a joint prior model. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 959-962). Article 6868031 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6868031

@inproceedings{950f21a78dd64d11bf7ea7c0234edbeb,

title = "Anatomy-guided brain pet imaging incorporating a joint prior model",

abstract = "We proposed a maximum a posterior (MAP) framework for incorporating information from co-registered anatomical images into PET image reconstruction through a novel anato-functional joint prior. The characteristic of the utilized hyperbolic potential function is determinate by the voxel intensity differences within the anatomical image, while the penalization is computed based on voxel intensity differences in reconstructed PET images. Using realistic simulated short time 18FDG PET scan data, we optimized the performance of the proposed MAP reconstruction with the joint prior (JP-MAP), and compared its performance with conventional 3D maximum likelihood expectation maximization (MLEM) and MAP reconstructions. The proposed JP-MAP reconstruction algorithm resulted in quantitatively enhanced reconstructed images, as demonstrated in extensive 18FDG PET simulation study.",

keywords = "Anatomical priors, Joint prior, Maximum a posterior, Positron emission tomography",

author = "Lijun Lu and Jianhua Ma and Jing Tang and Qianjin Feng and Arman Rahmim and Wufan Chen",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014 ; Conference date: 29-04-2014 Through 02-05-2014",

year = "2014",

month = jul,

day = "29",

doi = "10.1109/isbi.2014.6868031",

language = "英语",

series = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "959--962",

booktitle = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",

}

Lu, L, Ma, J, Tang, J, Feng, Q, Rahmim, A & Chen, W 2014, Anatomy-guided brain pet imaging incorporating a joint prior model. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6868031, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 959-962, 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 29/04/14. https://doi.org/10.1109/isbi.2014.6868031

Anatomy-guided brain pet imaging incorporating a joint prior model. / Lu, Lijun; Ma, Jianhua; Tang, Jing et al.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 959-962 6868031 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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

TY - GEN

T1 - Anatomy-guided brain pet imaging incorporating a joint prior model

AU - Lu, Lijun

AU - Ma, Jianhua

AU - Tang, Jing

AU - Feng, Qianjin

AU - Rahmim, Arman

AU - Chen, Wufan

PY - 2014/7/29

Y1 - 2014/7/29

N2 - We proposed a maximum a posterior (MAP) framework for incorporating information from co-registered anatomical images into PET image reconstruction through a novel anato-functional joint prior. The characteristic of the utilized hyperbolic potential function is determinate by the voxel intensity differences within the anatomical image, while the penalization is computed based on voxel intensity differences in reconstructed PET images. Using realistic simulated short time 18FDG PET scan data, we optimized the performance of the proposed MAP reconstruction with the joint prior (JP-MAP), and compared its performance with conventional 3D maximum likelihood expectation maximization (MLEM) and MAP reconstructions. The proposed JP-MAP reconstruction algorithm resulted in quantitatively enhanced reconstructed images, as demonstrated in extensive 18FDG PET simulation study.

AB - We proposed a maximum a posterior (MAP) framework for incorporating information from co-registered anatomical images into PET image reconstruction through a novel anato-functional joint prior. The characteristic of the utilized hyperbolic potential function is determinate by the voxel intensity differences within the anatomical image, while the penalization is computed based on voxel intensity differences in reconstructed PET images. Using realistic simulated short time 18FDG PET scan data, we optimized the performance of the proposed MAP reconstruction with the joint prior (JP-MAP), and compared its performance with conventional 3D maximum likelihood expectation maximization (MLEM) and MAP reconstructions. The proposed JP-MAP reconstruction algorithm resulted in quantitatively enhanced reconstructed images, as demonstrated in extensive 18FDG PET simulation study.

KW - Anatomical priors

KW - Joint prior

KW - Maximum a posterior

KW - Positron emission tomography

UR - https://www.scopus.com/pages/publications/84924686241

U2 - 10.1109/isbi.2014.6868031

DO - 10.1109/isbi.2014.6868031

M3 - 会议稿件

AN - SCOPUS:84924686241

T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

SP - 959

EP - 962

BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014

Y2 - 29 April 2014 through 2 May 2014

ER -

Lu L, Ma J, Tang J, Feng Q, Rahmim A, Chen W. Anatomy-guided brain pet imaging incorporating a joint prior model. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 959-962. 6868031. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). doi: 10.1109/isbi.2014.6868031

Anatomy-guided brain pet imaging incorporating a joint prior model

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this