Multi-modality molecular imaging for gastric cancer research

Jimin Liang; Xueli Chen; Junting Liu; Hao Hu; Xiaochao Qu; Fu Wang; Yongzhan Nie

doi:10.1364/acp.2011.831115

Multi-modality molecular imaging for gastric cancer research

Jimin Liang
, Xueli Chen
, Junting Liu
, Hao Hu
, Xiaochao Qu
, Fu Wang
, Yongzhan Nie

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

Abstract

Because of the ability of integrating the strengths of different modalities and providing fully integrated information, multi-modality molecular imaging techniques provide an excellent solution to detecting and diagnosing earlier cancer, which remains difficult to achieve by using the existing techniques. In this paper, we present an overview of our research efforts on the development of the optical imaging-centric multi-modality molecular imaging platform, including the development of the imaging system, reconstruction algorithms and preclinical biomedical applications. Primary biomedical results show that the developed optical imaging-centric multi-modality molecular imaging platform may provide great potential in the preclinical biomedical applications and future clinical translation.

Original language	English
Title of host publication	2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011
Publisher	IEEE Computer Society
ISBN (Print)	9780819489616
DOIs	https://doi.org/10.1364/acp.2011.831115
State	Published - 2011
Externally published	Yes
Event	2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011 - Shanghai, China Duration: 13 Nov 2011 → 16 Nov 2011

Publication series

Name	2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011

Conference

Conference	2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011
Country/Territory	China
City	Shanghai
Period	13/11/11 → 16/11/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

3D reconstruction algorithms
biomedical applications
gastric cancer
molecular imaging
multi-modality imaging system

Access to Document

10.1364/acp.2011.831115

Cite this

Liang, J., Chen, X., Liu, J., Hu, H., Qu, X., Wang, F., & Nie, Y. (2011). Multi-modality molecular imaging for gastric cancer research. In 2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011 Article 6210890 (2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011). IEEE Computer Society. https://doi.org/10.1364/acp.2011.831115

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title = "Multi-modality molecular imaging for gastric cancer research",

abstract = "Because of the ability of integrating the strengths of different modalities and providing fully integrated information, multi-modality molecular imaging techniques provide an excellent solution to detecting and diagnosing earlier cancer, which remains difficult to achieve by using the existing techniques. In this paper, we present an overview of our research efforts on the development of the optical imaging-centric multi-modality molecular imaging platform, including the development of the imaging system, reconstruction algorithms and preclinical biomedical applications. Primary biomedical results show that the developed optical imaging-centric multi-modality molecular imaging platform may provide great potential in the preclinical biomedical applications and future clinical translation.",

keywords = "3D reconstruction algorithms, biomedical applications, gastric cancer, molecular imaging, multi-modality imaging system",

author = "Jimin Liang and Xueli Chen and Junting Liu and Hao Hu and Xiaochao Qu and Fu Wang and Yongzhan Nie",

year = "2011",

doi = "10.1364/acp.2011.831115",

language = "英语",

isbn = "9780819489616",

series = "2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011",

publisher = "IEEE Computer Society",

booktitle = "2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011",

note = "2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011 ; Conference date: 13-11-2011 Through 16-11-2011",

}

Liang, J, Chen, X, Liu, J, Hu, H, Qu, X, Wang, F & Nie, Y 2011, Multi-modality molecular imaging for gastric cancer research. in 2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011., 6210890, 2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011, IEEE Computer Society, 2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011, Shanghai, China, 13/11/11. https://doi.org/10.1364/acp.2011.831115

Multi-modality molecular imaging for gastric cancer research. / Liang, Jimin; Chen, Xueli; Liu, Junting et al.
2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011. IEEE Computer Society, 2011. 6210890 (2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011).

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

TY - GEN

T1 - Multi-modality molecular imaging for gastric cancer research

AU - Liang, Jimin

AU - Chen, Xueli

AU - Liu, Junting

AU - Hu, Hao

AU - Qu, Xiaochao

AU - Wang, Fu

AU - Nie, Yongzhan

PY - 2011

Y1 - 2011

N2 - Because of the ability of integrating the strengths of different modalities and providing fully integrated information, multi-modality molecular imaging techniques provide an excellent solution to detecting and diagnosing earlier cancer, which remains difficult to achieve by using the existing techniques. In this paper, we present an overview of our research efforts on the development of the optical imaging-centric multi-modality molecular imaging platform, including the development of the imaging system, reconstruction algorithms and preclinical biomedical applications. Primary biomedical results show that the developed optical imaging-centric multi-modality molecular imaging platform may provide great potential in the preclinical biomedical applications and future clinical translation.

AB - Because of the ability of integrating the strengths of different modalities and providing fully integrated information, multi-modality molecular imaging techniques provide an excellent solution to detecting and diagnosing earlier cancer, which remains difficult to achieve by using the existing techniques. In this paper, we present an overview of our research efforts on the development of the optical imaging-centric multi-modality molecular imaging platform, including the development of the imaging system, reconstruction algorithms and preclinical biomedical applications. Primary biomedical results show that the developed optical imaging-centric multi-modality molecular imaging platform may provide great potential in the preclinical biomedical applications and future clinical translation.

KW - 3D reconstruction algorithms

KW - biomedical applications

KW - gastric cancer

KW - molecular imaging

KW - multi-modality imaging system

UR - https://www.scopus.com/pages/publications/85086490653

U2 - 10.1364/acp.2011.831115

DO - 10.1364/acp.2011.831115

M3 - 会议稿件

AN - SCOPUS:85086490653

SN - 9780819489616

T3 - 2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011

BT - 2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011

PB - IEEE Computer Society

T2 - 2011 Asia Communications and Photonics Conference and Exhibition, ACP 2011

Y2 - 13 November 2011 through 16 November 2011

ER -

Multi-modality molecular imaging for gastric cancer research

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this