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

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
出版商	Institute of Electrical and Electronics Engineers Inc.
页	959-962
页数	4
ISBN（电子版）	9781467319591
DOI	https://doi.org/10.1109/isbi.2014.6868031
出版状态	已出版 - 29 7月 2014
已对外发布	是
活动	11th IEEE International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, 中国期限: 29 4月 2014 → 2 5月 2014

出版系列

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

会议

会议	11th IEEE International Symposium on Biomedical Imaging, ISBI 2014
国家/地区	中国
市	Beijing
时期	29/04/14 → 2/05/14

访问文件

10.1109/isbi.2014.6868031

其它文件与链接

链接到 Scopus 的出版物

引用此

Lu, L., Ma, J., Tang, J., Feng, Q., Rahmim, A., & Chen, W. (2014). Anatomy-guided brain pet imaging incorporating a joint prior model. 在 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (页码 959-962). 文章 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

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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",

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Lu, L, Ma, J, Tang, J, Feng, Q, Rahmim, A & Chen, W 2014, Anatomy-guided brain pet imaging incorporating a joint prior model. 在 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., 页码 959-962, 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014, Beijing, 中国, 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 等.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 页码 959-962 6868031 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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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

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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

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

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

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Lu L, Ma J, Tang J, Feng Q, Rahmim A, Chen W. Anatomy-guided brain pet imaging incorporating a joint prior model. 在 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 页码 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

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出版系列

会议

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