A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles

Hanqing Liao; Emmanouil Moschidis; Isabel Riba Garcia; Yan Zhang; Richard Unwin; Jeffrey S Morris; James Graham; Andrew Dowsey

doi:10.1109/ISBI.2014.6868123

A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles

Hanqing Liao, Emmanouil Moschidis, Isabel Riba Garcia, Yan Zhang, Richard Unwin, Jeffrey S Morris, James Graham, Andrew Dowsey

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

Abstract

Biomarker discovery in amenably sampled body fluids has the potential to empower clinical screening programs for the early detection of disease. Liquid Chromatography interfaced to Mass Spectrometry (LC-MS) has emerged as a central technique for sensitive and automated analysis of proteins and metabolites from these clinical samples. However, the potential of LC-MS as a precise and reliable platform for discovery and screening is dependent on robust, sensitive and specific signal extraction and interpretation. The output of LC-MS is formed as a set of quantifiableimages containing thousands of biochemical signals regulated in disease and treatment. We propose to tackle this problem for the first time with a biomedical image analysis paradigm. A novel workflow of image reconstruction, groupwise image registration and Bayesian functional mixed-effects modeling is presented. Poisson counting noise and lognormal biological variation are modeled in the raw image domain, resulting in markedly improved detection limit for differential analysis.

Original language	English
Title of host publication	2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
Editors	Ge Wang, Bin He
Publisher	IEEE
Pages	1332-1335
Number of pages	4
ISBN (Print)	1945-7928
DOIs	https://doi.org/10.1109/ISBI.2014.6868123 https://doi.org/10.1109/ISBI.2014.6868123
Publication status	Published - Apr 2014
Event	IEEE International Symposium on Biomedical Imaging - Beijing, China Duration: 29 Apr 2014 → 2 May 2014

Conference

Conference	IEEE International Symposium on Biomedical Imaging
City	Beijing, China
Period	29/04/14 → 2/05/14

Keywords

Reconstruction
Image registration
Functional mixed model
Mass spectrometry
Proteomics

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10.1109/ISBI.2014.6868123Licence: Other

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Liao, H., Moschidis, E., Riba Garcia, I., Zhang, Y., Unwin, R., Morris, J. S., Graham, J., & Dowsey, A. (2014). A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles. In G. Wang, & B. He (Eds.), 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) (pp. 1332-1335). IEEE. https://doi.org/10.1109/ISBI.2014.6868123, https://doi.org/10.1109/ISBI.2014.6868123

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title = "A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles",

abstract = "Biomarker discovery in amenably sampled body fluids has the potential to empower clinical screening programs for the early detection of disease. Liquid Chromatography interfaced to Mass Spectrometry (LC-MS) has emerged as a central technique for sensitive and automated analysis of proteins and metabolites from these clinical samples. However, the potential of LC-MS as a precise and reliable platform for discovery and screening is dependent on robust, sensitive and specific signal extraction and interpretation. The output of LC-MS is formed as a set of quantifiableimages containing thousands of biochemical signals regulated in disease and treatment. We propose to tackle this problem for the first time with a biomedical image analysis paradigm. A novel workflow of image reconstruction, groupwise image registration and Bayesian functional mixed-effects modeling is presented. Poisson counting noise and lognormal biological variation are modeled in the raw image domain, resulting in markedly improved detection limit for differential analysis.",

keywords = "Reconstruction, Image registration, Functional mixed model, Mass spectrometry, Proteomics",

author = "Hanqing Liao and Emmanouil Moschidis and {Riba Garcia}, Isabel and Yan Zhang and Richard Unwin and Morris, {Jeffrey S} and James Graham and Andrew Dowsey",

year = "2014",

month = apr,

doi = "10.1109/ISBI.2014.6868123",

language = "English",

isbn = "1945-7928 ",

pages = "1332--1335",

editor = "Ge Wang and Bin He",

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

publisher = "IEEE",

address = "United States",

note = "IEEE International Symposium on Biomedical Imaging ; Conference date: 29-04-2014 Through 02-05-2014",

}

Liao, H, Moschidis, E, Riba Garcia, I, Zhang, Y, Unwin, R, Morris, JS, Graham, J & Dowsey, A 2014, A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles. in G Wang & B He (eds), 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) . IEEE, pp. 1332-1335, IEEE International Symposium on Biomedical Imaging, Beijing, China, 29/04/14. https://doi.org/10.1109/ISBI.2014.6868123, https://doi.org/10.1109/ISBI.2014.6868123

A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles. / Liao, Hanqing; Moschidis, Emmanouil; Riba Garcia, Isabel et al.
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) . ed. / Ge Wang; Bin He. IEEE, 2014. p. 1332-1335.

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

TY - GEN

T1 - A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles

AU - Liao, Hanqing

AU - Moschidis, Emmanouil

AU - Riba Garcia, Isabel

AU - Zhang, Yan

AU - Unwin, Richard

AU - Morris, Jeffrey S

AU - Graham, James

AU - Dowsey, Andrew

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N2 - Biomarker discovery in amenably sampled body fluids has the potential to empower clinical screening programs for the early detection of disease. Liquid Chromatography interfaced to Mass Spectrometry (LC-MS) has emerged as a central technique for sensitive and automated analysis of proteins and metabolites from these clinical samples. However, the potential of LC-MS as a precise and reliable platform for discovery and screening is dependent on robust, sensitive and specific signal extraction and interpretation. The output of LC-MS is formed as a set of quantifiableimages containing thousands of biochemical signals regulated in disease and treatment. We propose to tackle this problem for the first time with a biomedical image analysis paradigm. A novel workflow of image reconstruction, groupwise image registration and Bayesian functional mixed-effects modeling is presented. Poisson counting noise and lognormal biological variation are modeled in the raw image domain, resulting in markedly improved detection limit for differential analysis.

AB - Biomarker discovery in amenably sampled body fluids has the potential to empower clinical screening programs for the early detection of disease. Liquid Chromatography interfaced to Mass Spectrometry (LC-MS) has emerged as a central technique for sensitive and automated analysis of proteins and metabolites from these clinical samples. However, the potential of LC-MS as a precise and reliable platform for discovery and screening is dependent on robust, sensitive and specific signal extraction and interpretation. The output of LC-MS is formed as a set of quantifiableimages containing thousands of biochemical signals regulated in disease and treatment. We propose to tackle this problem for the first time with a biomedical image analysis paradigm. A novel workflow of image reconstruction, groupwise image registration and Bayesian functional mixed-effects modeling is presented. Poisson counting noise and lognormal biological variation are modeled in the raw image domain, resulting in markedly improved detection limit for differential analysis.

KW - Reconstruction

KW - Image registration

KW - Functional mixed model

KW - Mass spectrometry

KW - Proteomics

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DO - 10.1109/ISBI.2014.6868123

M3 - Conference contribution

SN - 1945-7928

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

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Liao H, Moschidis E, Riba Garcia I, Zhang Y, Unwin R, Morris JS et al. A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles. In Wang G, He B, editors, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) . IEEE. 2014. p. 1332-1335 doi: 10.1109/ISBI.2014.6868123, 10.1109/ISBI.2014.6868123

A new paradigm for clinical biomarker discovery and screening with mass spectroscopy through biomedical image analysis principles

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