Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction

Jinchao Feng; Petr Bruza; Hamid Dehghani; Scott C. Davis; Brian W. Pogue

doi:10.1117/12.2250670

Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction

Jinchao Feng, Petr Bruza, Hamid Dehghani, Scott C. Davis, Brian W. Pogue

Computer Science

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

Abstract

A tomographic reconstruction algorithm for Cherenkov-excited luminescence scanned imaging (CELSI) is proposed and demonstrated for the first time, to reconstruct distributions of luminescent source. Coupled continuous wave (CW) diffusion equations are used to model luminescent photon propagation in biological tissues. The CELSI reconstruction was achieved by minimizing the difference between measured and computed data based on Tikhonov regularization technique. The feasibility and effectiveness of the algorithm were tested with numerical simulations on noisy data. In addition, comparisons between conventional diffuse optical fluorescence tomography (DOFT) and CELSI were also performed. Contrast-detail analysis was also used to evaluate the imaging performance of CELSI.

Original language	English
Title of host publication	Molecular-Guided Surgery
Subtitle of host publication	Molecules, Devices, and Applications III
Editors	Sylvain Gioux, Brian W. Pogue
Publisher	SPIE
ISBN (Electronic)	9781510605398
DOIs	https://doi.org/10.1117/12.2250670
Publication status	Published - 2017
Event	Molecular-Guided Surgery: Molecules, Devices, and Applications III - San Francisco, United States Duration: 28 Jan 2017 → 30 Jan 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10049
ISSN (Print)	1605-7422

Conference

Conference	Molecular-Guided Surgery: Molecules, Devices, and Applications III
Country/Territory	United States
City	San Francisco
Period	28/01/17 → 30/01/17

Bibliographical note

Publisher Copyright:
© 2017 SPIE.

Keywords

Cherenkov-excited luminescence scanned imaging (CELSI)
Image reconstruction
Radiation therapy
Tomography

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2250670

Cite this

Feng, J., Bruza, P., Dehghani, H., Davis, S. C., & Pogue, B. W. (2017). Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction. In S. Gioux, & B. W. Pogue (Eds.), Molecular-Guided Surgery: Molecules, Devices, and Applications III Article 1004912 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10049). SPIE. https://doi.org/10.1117/12.2250670

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title = "Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction",

abstract = "A tomographic reconstruction algorithm for Cherenkov-excited luminescence scanned imaging (CELSI) is proposed and demonstrated for the first time, to reconstruct distributions of luminescent source. Coupled continuous wave (CW) diffusion equations are used to model luminescent photon propagation in biological tissues. The CELSI reconstruction was achieved by minimizing the difference between measured and computed data based on Tikhonov regularization technique. The feasibility and effectiveness of the algorithm were tested with numerical simulations on noisy data. In addition, comparisons between conventional diffuse optical fluorescence tomography (DOFT) and CELSI were also performed. Contrast-detail analysis was also used to evaluate the imaging performance of CELSI.",

keywords = "Cherenkov-excited luminescence scanned imaging (CELSI), Image reconstruction, Radiation therapy, Tomography",

author = "Jinchao Feng and Petr Bruza and Hamid Dehghani and Davis, {Scott C.} and Pogue, {Brian W.}",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Molecular-Guided Surgery: Molecules, Devices, and Applications III ; Conference date: 28-01-2017 Through 30-01-2017",

year = "2017",

doi = "10.1117/12.2250670",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Sylvain Gioux and Pogue, {Brian W.}",

booktitle = "Molecular-Guided Surgery",

}

Feng, J, Bruza, P, Dehghani, H, Davis, SC & Pogue, BW 2017, Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction. in S Gioux & BW Pogue (eds), Molecular-Guided Surgery: Molecules, Devices, and Applications III., 1004912, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10049, SPIE, Molecular-Guided Surgery: Molecules, Devices, and Applications III, San Francisco, United States, 28/01/17. https://doi.org/10.1117/12.2250670

Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction. / Feng, Jinchao; Bruza, Petr; Dehghani, Hamid et al.
Molecular-Guided Surgery: Molecules, Devices, and Applications III. ed. / Sylvain Gioux; Brian W. Pogue. SPIE, 2017. 1004912 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10049).

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

TY - GEN

T1 - Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction

AU - Feng, Jinchao

AU - Bruza, Petr

AU - Dehghani, Hamid

AU - Davis, Scott C.

AU - Pogue, Brian W.

PY - 2017

Y1 - 2017

N2 - A tomographic reconstruction algorithm for Cherenkov-excited luminescence scanned imaging (CELSI) is proposed and demonstrated for the first time, to reconstruct distributions of luminescent source. Coupled continuous wave (CW) diffusion equations are used to model luminescent photon propagation in biological tissues. The CELSI reconstruction was achieved by minimizing the difference between measured and computed data based on Tikhonov regularization technique. The feasibility and effectiveness of the algorithm were tested with numerical simulations on noisy data. In addition, comparisons between conventional diffuse optical fluorescence tomography (DOFT) and CELSI were also performed. Contrast-detail analysis was also used to evaluate the imaging performance of CELSI.

AB - A tomographic reconstruction algorithm for Cherenkov-excited luminescence scanned imaging (CELSI) is proposed and demonstrated for the first time, to reconstruct distributions of luminescent source. Coupled continuous wave (CW) diffusion equations are used to model luminescent photon propagation in biological tissues. The CELSI reconstruction was achieved by minimizing the difference between measured and computed data based on Tikhonov regularization technique. The feasibility and effectiveness of the algorithm were tested with numerical simulations on noisy data. In addition, comparisons between conventional diffuse optical fluorescence tomography (DOFT) and CELSI were also performed. Contrast-detail analysis was also used to evaluate the imaging performance of CELSI.

KW - Cherenkov-excited luminescence scanned imaging (CELSI)

KW - Image reconstruction

KW - Radiation therapy

KW - Tomography

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DO - 10.1117/12.2250670

M3 - Conference contribution

AN - SCOPUS:85019255569

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Molecular-Guided Surgery

A2 - Gioux, Sylvain

A2 - Pogue, Brian W.

PB - SPIE

T2 - Molecular-Guided Surgery: Molecules, Devices, and Applications III

Y2 - 28 January 2017 through 30 January 2017

ER -

Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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