![]() The seminar will last 45 minutes followed by 15 minutes of Q/A from the audience. Alison Pouch from the Penn Image Computing and Science Laboratory. Paul Yushkevich (creator of ITK-SNAP) and by Dr. Using the ITK-SNAP distributed segmentation service.Loading, editing, and saving segmentation files.Labeling of anatomical structures in 3D images both manually and semi-automatically.In this webinar, attendees will learn some of the core capabilities of ITK-SNAP: The objective of this webinar is to introduce ITK-SNAP and provide an overview of its capabilities for medical image navigation and segmentation. Posted in Job Opportunities, PhD/Master student positions PhD student position at Lund Universityġ5:00 – 16:00 CET Click here to register for the webinar. Project supervisors: Professor Pankaj Pankaj and Professor Hamish Simpson, The University of EdinburghĪpplicants are encouraged to contact Prof Pankaj Pankaj ( with their CV prior to applying. This will indicate the leading mechanism of joint failure in different patients, which will allow us to personalize the treatment inline with the principles of precision medicine The findings of this project will enable the interplay of bone and cartilage properties and loading to be considered in different patients. Similarly the material properties of the subchondral bone will be varied to represent subchondral sclerosis. ![]() A range of cartilage properties will be considered variation of properties from normal to cartilage weakened by infection or inflammation will be considered. Novel computational simulations using the finite element method will be employed. Outline: The research will be conducted by using data from mechanical testing and imaging of testing clinical samples in conjunction with available physiological loading data. The primary aim of the study is to establish the inter-relationship of initial cartilage quality, subchondral bone stiffness and loading scenarios (due to different physiological activies which result in loads with varying magnitudes, frequencies and strain rates) by using computational models to optimise osteoarthritis treatment. ![]()
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