Extracting Biomarkers from Dynamic Images Approaches and Challenges

Jakub Nalepa; Michael P. Hayball; Stephen J. Brown; Michal Kawulok; Janusz Szymanek

doi:10.5220/0006652505200525

Extracting Biomarkers from Dynamic Images Approaches and Challenges

Jakub Nalepa
, Michael P. Hayball
, Stephen J. Brown
, Michal Kawulok
, Janusz Szymanek

Department of Algorithmics and Software (RAU/RAU5)

Future Processing
Feedback PLC
Cambridge Computed Imaging

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

Abstract

Imaging technologies have developed rapidly over the past decade proving to be valuable and effective tools for diagnosis, evaluation and treatment of many conditions, especially cancer. Dynamic contrast enhanced imaging using computed tomography or magnetic resonance has been shown particularly effective and has been intensively studied to allow for assessing the vascular support of various tumours and other tissues. In this paper, we discuss current approaches and most important challenges in extracting markers from such dynamic images. These difficulties have to be resolved in order to ultimately improve patient care.

Original language	English
Title of host publication	ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods
Editors	Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
Publisher	SciTePress
Pages	520-525
Number of pages	6
ISBN (Electronic)	9789897582769
DOIs	https://doi.org/10.5220/0006652505200525
Publication status	Published - 2018
Event	7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 - Funchal, Madeira, Portugal Duration: 16 Jan 2018 → 18 Jan 2018

Publication series

Name	ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods
Volume	2018-January

Conference

Conference	7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018
Country/Territory	Portugal
City	Funchal, Madeira
Period	16/01/18 → 18/01/18

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Biomarkers
DCE Imaging
Medical Image Analysis

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.5220/0006652505200525

Cite this

Nalepa, J., Hayball, M. P., Brown, S. J., Kawulok, M., & Szymanek, J. (2018). Extracting Biomarkers from Dynamic Images Approaches and Challenges. In M. De Marsico, G. S. di Baja, & A. Fred (Eds.), ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods (pp. 520-525). (ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods; Vol. 2018-January). SciTePress. https://doi.org/10.5220/0006652505200525

Nalepa, Jakub ; Hayball, Michael P. ; Brown, Stephen J. et al. / Extracting Biomarkers from Dynamic Images Approaches and Challenges. ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods. editor / Maria De Marsico ; Gabriella Sanniti di Baja ; Ana Fred. SciTePress, 2018. pp. 520-525 (ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods).

@inproceedings{193c0d5371d34d608e3abfca3133bd44,

title = "Extracting Biomarkers from Dynamic Images Approaches and Challenges",

abstract = "Imaging technologies have developed rapidly over the past decade proving to be valuable and effective tools for diagnosis, evaluation and treatment of many conditions, especially cancer. Dynamic contrast enhanced imaging using computed tomography or magnetic resonance has been shown particularly effective and has been intensively studied to allow for assessing the vascular support of various tumours and other tissues. In this paper, we discuss current approaches and most important challenges in extracting markers from such dynamic images. These difficulties have to be resolved in order to ultimately improve patient care.",

keywords = "Biomarkers, DCE Imaging, Medical Image Analysis",

author = "Jakub Nalepa and Hayball, \{Michael P.\} and Brown, \{Stephen J.\} and Michal Kawulok and Janusz Szymanek",

note = "Publisher Copyright: Copyright {\textcopyright} 2018 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved; 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 ; Conference date: 16-01-2018 Through 18-01-2018",

year = "2018",

doi = "10.5220/0006652505200525",

language = "English",

series = "ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods",

publisher = "SciTePress",

pages = "520--525",

editor = "\{De Marsico\}, Maria and \{di Baja\}, \{Gabriella Sanniti\} and Ana Fred",

booktitle = "ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods",

}

Nalepa, J, Hayball, MP, Brown, SJ, Kawulok, M & Szymanek, J 2018, Extracting Biomarkers from Dynamic Images Approaches and Challenges. in M De Marsico, GS di Baja & A Fred (eds), ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods. ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, vol. 2018-January, SciTePress, pp. 520-525, 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018, Funchal, Madeira, Portugal, 16/01/18. https://doi.org/10.5220/0006652505200525

Extracting Biomarkers from Dynamic Images Approaches and Challenges. / Nalepa, Jakub; Hayball, Michael P.; Brown, Stephen J. et al.
ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods. ed. / Maria De Marsico; Gabriella Sanniti di Baja; Ana Fred. SciTePress, 2018. p. 520-525 (ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods; Vol. 2018-January).

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

TY - GEN

T1 - Extracting Biomarkers from Dynamic Images Approaches and Challenges

AU - Nalepa, Jakub

AU - Hayball, Michael P.

AU - Brown, Stephen J.

AU - Kawulok, Michal

AU - Szymanek, Janusz

PY - 2018

Y1 - 2018

N2 - Imaging technologies have developed rapidly over the past decade proving to be valuable and effective tools for diagnosis, evaluation and treatment of many conditions, especially cancer. Dynamic contrast enhanced imaging using computed tomography or magnetic resonance has been shown particularly effective and has been intensively studied to allow for assessing the vascular support of various tumours and other tissues. In this paper, we discuss current approaches and most important challenges in extracting markers from such dynamic images. These difficulties have to be resolved in order to ultimately improve patient care.

AB - Imaging technologies have developed rapidly over the past decade proving to be valuable and effective tools for diagnosis, evaluation and treatment of many conditions, especially cancer. Dynamic contrast enhanced imaging using computed tomography or magnetic resonance has been shown particularly effective and has been intensively studied to allow for assessing the vascular support of various tumours and other tissues. In this paper, we discuss current approaches and most important challenges in extracting markers from such dynamic images. These difficulties have to be resolved in order to ultimately improve patient care.

KW - Biomarkers

KW - DCE Imaging

KW - Medical Image Analysis

UR - https://www.scopus.com/pages/publications/85052012319

U2 - 10.5220/0006652505200525

DO - 10.5220/0006652505200525

M3 - Conference contribution

AN - SCOPUS:85052012319

T3 - ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods

SP - 520

EP - 525

BT - ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods

A2 - De Marsico, Maria

A2 - di Baja, Gabriella Sanniti

A2 - Fred, Ana

PB - SciTePress

T2 - 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018

Y2 - 16 January 2018 through 18 January 2018

ER -

Nalepa J, Hayball MP, Brown SJ, Kawulok M, Szymanek J. Extracting Biomarkers from Dynamic Images Approaches and Challenges. In De Marsico M, di Baja GS, Fred A, editors, ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods. SciTePress. 2018. p. 520-525. (ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods). doi: 10.5220/0006652505200525

Extracting Biomarkers from Dynamic Images Approaches and Challenges

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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