Sep 2, 2015

PhD fellow Kat Gilbert visits Simula


PhD fellow Kat Gilbert visited Simula ang gave a talk on "Rapid patient-specific models in congenital heart disease" here at the CCI on Tuesday 1st of September.

She is studying under the supervision of Prof. Alistair Young, who worked alongside the pioneers of tagged MR at the University of Pennsylvania to develop the first methods for cardiac motion tracking of tagged MR.

Posted by: Anonymous

Abstract provided by Kat Gilbert;

Congenital heart disease is the most common severe birth defect, occurring in approximately 75 out of every 1000 births. An increasing number of infants are having corrective surgery early in life and frequently survive to adulthood. However, many of those with corrected congenital heart disease will go on to suffer from heart failure later in life.

Accurate measurement of cardiac function is essential in these patients to provide early indication of cardiac dysfunction. MRI is the gold standard for cardiac imaging owing to its safety and accuracy. Analysis of the left and right ventricle from MRI can be time consuming and prone to errors.

We have developed software specifically designed for evaluating biventricular function in congenital heart disease. The software takes approximately 12-15 minutes to create a 3D beating patient specific model and provide clinicians with functional information.
Our research team investigates aspects of cardiovascular health such as stent design, coronary arteries and left ventricle shape remodeling. In addition, the research team is working on novel MRI tools and techniques to assess of cardiovascular health including magnetic resonance elastography and new MR imaging protocols.

From the left; PhD scholar Lene Kathrine Rydén Suther, Deputy Director of Scientific Computing at the CCI Samuel Wall, PhD, Charlotte De Lange, PhD, MD, Postdoc Kristin McLeod and PhD fellow Kat Gilbert
Deputy Director of Scientific Computing at the CCI, Samuel Wall, PhD, and PhD fellow Kat Gilbert
Center for Cardiological Innovation