Sep 14, 2014

Kristin McLeod at the VPH Conference


Kristin McLeod is a postdoctoral research fellow at the Cardiac Modeling (CaMo) Department, Simula Research Laboratory. Since October 2013 she has been collaborating with CCI and GEVU in the devlopment of next generation ultrasound systems for cardiology.

McLeod represented CCI at the Virtual Physiological Human Conference in Trondheim, giving an oral presentation of her poster titled Metamodelling of Structural Abnormalities in the ARVC Heart.

As stated on the VPH webpage:
The plenary themes for VPH2014 highlight that

(i) the establishment of a digital representation of the individual is key to realising a real personalized medicine
(ii) that a quantitative understanding of the physiology of the ageing individual is mission critical for understanding, preventing and treating complex disease
(iii) model repositories, standards and efficient data integration technologies are major pillars for the VPH mission as such
(iv) the integration of genomic information with multiscale computational physiology provides the foundation for bridging the genotype-to-phenotype gap.  All plenary presentations will respect the disciplinary heterogeneity of the audience so that we achieve an efficient communication between the various expertise fields.

Posted by: Anonymous

Metamodelling of Structural Abnormalities in the ARVC Heart.
Authors: Kristin McLeod, Kristin Tøndel, Samuell Wall, Jørg Saberniak, Kristina Haugaa

Presentation by Kristin McLeod, PhD:

Quantifying the structural abnormalities of the ventricles in ARVC patients may lead to measures of disease severity that could give insight into the stage of the disease to better evaluate the need for clinical intervention in the form of antiarrhythmic medication or ICD implantation. Structural abnormalities can be qualitatively analyzed from images by visual inspection. However, comparing qualitative measures from different observers and different patients is difficult. Therefore, defining quantitative measures of structural abnormalities can give a more unbiased means for comparative analysis. A metamodelling approach for analysing the structure was presented, to study the relationship between anatomical features and clinical diagnostic indices.

Picture curtesy of NTNU.
Photo: Bjørn Hovdal
Center for Cardiological Innovation