The Department of Health, Medicine and Caring Sciences (HMV) conducts teaching and research across a wide range of medical disciplines and is noted for its interdisciplinary profile. The aim of the department’s operations is to provide relevant training against the backdrop of a rapidly evolving healthcare sector and a society in constant flux. HMV is located both in Linköping and Norrköping.
The postdoc in this announcement will focus on collecting of image data and development of methods that support an efficient and effective analysis of the data for diagnosis and model building. The emphasis will be the use of high-resolution time-resolved spectral data of the heart that will be acquired using a novel photon-counting detector Computer Tomography (PCD-CT). Based on this data, time-varying data representing the heart anatomy, its dynamics, the blood flow, and myocardial strain will be obtained.
Responsibilities include development of methods for segmentation and analysis of PCD-CT data. Publication of the work in scientific journals is also included in the assignment.
The position is connected to the Center for Medical Imaging and Visualization (CMIV, www.liu.se/cmiv). CMIV is an interdisciplinary research center within Linköping University that conducts focused front-line research in interdisciplinary projects that provide solutions to tomorrow’s clinical questions. The interdisciplinary cardiovascular imaging research group within CMIV, conducts technical development and application of advanced magnetic resonance and computed tomography in the cardiovascular field. The group has access to 3 research magnetic cameras and 2 computer tomographs, one of which is a unique photon-counting computer tomograph.
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.
Within the WASP-DDLS financed project “Huge Complex Diagnostic Imaging Data”, two postdoc will work jointly on a pipeline for the generation of personalized models from huge complex imaging data.