Medical Imaging Workshop 2013
November 17–19, 2013 | Cambridge, United Kingdom
The Science and Technology Facilities Council and medical imaging
Dragging Computational Imaging into Clinical Practice—A Problem of Magnitude and Direction
Speaker: Rajesh Jena (Cambridge University Hospitals NHS Foundation Trust)
Abstract: Our multidisciplinary research group has for the last 10 years maintained an interest in the use of diffusion tensor imaging to assess the invasiveness of high grade gliomas. In this time, we have progressed from a concept devised over a dinner in a Cambridge College, through proof of principle and pathological validation, and on into implementation in prospective clinical trials. In this talk, I will review our progress in this area and use it as an example to discuss the key ‘enabling’ factors in this application of computational imaging.
Learning Clinically useful Information from Medical Images
Personalized Blood Flow Simulation: Changing the Treatment Paradigm for Cardiovascular Disease
Speaker: Leo Grady
Abstract: Coronary heart disease is the leading cause of mortality worldwide, accounting for 1/3 of all global deaths. Treatment of coronary heart disease follows three paths with different levels of risk and invasiveness: Medical therapy, PCI (stenting) and CABG (bypass grafting). The choice between treatments is made by determining the severity of disease, which is currently estimated by measuring the diameter of the smallest narrowing in the vessel. This diameter may be measured noninvasively through CT imaging or, more commonly, invasively through x-ray angiography. Unfortunately, as a local measurement, a diameter of the narrowest point does not account for the influences of the rest of the vascular geometry, which can substantially impact the amount of blood flow through a particular narrowing and therefore impact the severity of the disease. Recent studies have conclusively demonstrated that measuring the blood flow distal to a narrowing is a much better predictor of disease severity and is therefore more useful to determine optimal treatment for a patient. However, measurement of blood flow is an invasive procedure which is both costly and risky to the patient. In contrast to this invasive approach for measuring blood flow in a diseased vessel, we have demonstrated that it is possible to perform an accurate blood flow simulation to produce a simulated blood flow measurement. This simulation depends on a hyperaccurate patient-specific vessel tree segmentation and accurate fluid dynamics. In this talk I will discuss the segmentation and blood flow simulation technology that we are commercializing at HeartFlow and the results of our prospective clinical trials that have demonstrated the success of the technology.