TY - GEN
T1 - Multi-level analysis and information extraction considerations for validating 4D models of human function
AU - Marias, Kostas
AU - Dionysiou, Dimitra D.
AU - Stamatakos, Georgios S.
AU - Zacharopoulou, Fotini
AU - Georgiadi, Eleni
AU - Margaritis, Thanasis
AU - Maris, Thomas G.
AU - Tollis, Ioannis G.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Biomedical data analysis
KW - Modeling
KW - Virtual physiological human
UR - http://www.scopus.com/inward/record.url?scp=38149044806&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-73321-8_81
DO - 10.1007/978-3-540-73321-8_81
M3 - Conference contribution
AN - SCOPUS:38149044806
SN - 9783540733188
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 703
EP - 709
BT - Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings
PB - Springer Verlag
T2 - 1st International Conference on Digital Human Modeling, ICDHM 2007
Y2 - 22 July 2007 through 27 July 2007
ER -