A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles

Hanqing Liao; Emmanouil Moschidis; Isabel Riba-Garcia; Yan Zhang; Richard D. Unwin; Jeffrey S. Morris; Jim Graham; Andrew W. Dowsey

doi:10.1109/isbi.2014.6868123

A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles

Hanqing Liao, Emmanouil Moschidis, Isabel Riba-Garcia, Yan Zhang, Richard D. Unwin, Jeffrey S. Morris, Jim Graham, Andrew W. Dowsey

Biostatistics

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

6 Scopus citations

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 quantifiable images 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.¹

Original language	English (US)
Title of host publication	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1332-1335
Number of pages	4
ISBN (Electronic)	9781467319591
DOIs	https://doi.org/10.1109/isbi.2014.6868123
State	Published - Jul 29 2014
Event	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China Duration: Apr 29 2014 → May 2 2014

Publication series

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

Other

Other	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/Territory	China
City	Beijing
Period	4/29/14 → 5/2/14

Keywords

Functional mixed model
Image registration
Mass spectrometry
Proteomics
Reconstruction

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/isbi.2014.6868123

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Liao, H., Moschidis, E., Riba-Garcia, I., Zhang, Y., Unwin, R. D., Morris, J. S., Graham, J., & Dowsey, A. W. (2014). A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 1332-1335). Article 6868123 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6868123

A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles. / Liao, Hanqing; Moschidis, Emmanouil; Riba-Garcia, Isabel et al.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1332-1335 6868123 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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

Liao, H, Moschidis, E, Riba-Garcia, I, Zhang, Y, Unwin, RD, Morris, JS, Graham, J & Dowsey, AW 2014, A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6868123, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 1332-1335, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 4/29/14. https://doi.org/10.1109/isbi.2014.6868123

Liao H, Moschidis E, Riba-Garcia I, Zhang Y, Unwin RD, Morris JS et al. A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1332-1335. 6868123. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). doi: 10.1109/isbi.2014.6868123

Liao, Hanqing ; Moschidis, Emmanouil ; Riba-Garcia, Isabel et al. / A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles. 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1332-1335 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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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 quantifiable images 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.1",

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

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AU - Unwin, Richard D.

AU - Morris, Jeffrey S.

AU - Graham, Jim

AU - Dowsey, Andrew W.

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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 quantifiable images 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.1

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A New paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles

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Keywords

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