Multi-level analysis and information extraction considerations for validating 4D models of human function

Kostas Marias, Dimitra D. Dionysiou, Georgios S. Stamatakos, Fotini Zacharopoulou, Eleni Georgiadi, Thanasis Margaritis, Thomas G. Maris, Ioannis G. Tollis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Recent research trends focus on how multiscale biomedical information can be modeled and transformed into knowledge, in order to lead to a less interfering but also more individualized diagnosis and therapy. In order to assess the clinical importance of models of human pathology (e.g. cancer), it is necessary to validate them with prior and post treatment clinical data which in turn requires the determination of the tumor size and shape with high resolution, accuracy and precision, as well as structural and physiological information. This paper discusses some of the most important image analysis challenges in order to define an optimal method for extracting more accurate and precise anatomical and functional information related to the underlying pathology, which can be used for initializing and validating models of pathophysiology as well as simulations/predictions of the response to therapeutical regimes.

Original languageEnglish
Title of host publicationDigital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings
PublisherSpringer Verlag
Pages703-709
Number of pages7
ISBN (Print)9783540733188
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event1st International Conference on Digital Human Modeling, ICDHM 2007 - Beijing, China
Duration: 22 Jul 200727 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4561 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Digital Human Modeling, ICDHM 2007
Country/TerritoryChina
CityBeijing
Period22/07/0727/07/07

Keywords

  • Biomedical data analysis
  • Modeling
  • Virtual physiological human

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