Medical Image Analysis: Some Clinical Applications
Speaker: Dr Sebastien Ourselin, CSIRO
When: 2005-09-14 14:00:00
Venue: 78-420
Host: Stuart Crozier
Abstract:In this talk we will describe some of the past and current work done
at the CSIRO ICT Centre within our BioMedIA Lab research team, with
a focus on medical image segmentation. Segmentation is the process
of delineating and assigning a label to a biological structure. In
the last two decades, a wide variety of segmentation techniques have
been proposed but no single method can be applied successfully for
every medical imaging applications. I will illustrate our work
through different clinical applications.
First, I will describe an application we have developed for the
planning of surgery for abdominal aortic aneurysm (AAA). In the
planning stage surgeons often need to mentally evaluate multiple CT
slices in order to formulate a 3D representation of the
vessels. This must be taken into account when obtaining critical
measurements and planning the surgery. We proposed a semi-automatic
approach to fully segment and accurately design a patient specific
AAA model using knowledge-based vessel identification. Then, I will
describe some of our current work on the segmentation of soft
tissues, especially for the cartilages of the knee. Soft tissues are
highly variable in shape, their boundaries poorly defined and as a
result usually difficult to accurately segment using existing
techniques. The aim of our work is to develop automatic segmentation
of the part based on statistical shape model (SSM) of the different
part of its articular anatomy. We will then embed a priori knowledge
of the anatomical environment into the SSM to drive our
segmentation. I will also present our research in the accurate
estimation of the thickness of the cortex, and its applications to
the study of neurodegenerative disease, with a current clinical
focus on early stage of schizophrenia.
All these different tools have been developed in a common software
platform called MILX(TM), based on ITK and VTK. We will give a brief
overview of our software platform, and highlight the need of a
robust and stable software environment, critical for successful
clinical transfer of our technology.
Biography:Sebastien Ourselin obtained his PhD in computer science from INRIA
(Sophia-Antipolis, France) in the field of medical image
analysis. He is currently leading the BioMedIA Lab, a research team
in biomedical image analysis, part of the Autonomous System
Laboratory, at CSIRO ICT Centre.
His main research interest include rigid and non-rigid registration,
atlas conception, segmentation, statistical shape modeling, surgery
simulation, image-guided therapy and minimally invasive surgery.
Dr. Ourselin has been involved in a broad range of clinical
projects, including neurosurgery (DBS for Parkinsonùs disease),
computer-assisted cardiovascular surgery (AAA), radiotherapy
treatment (prostate cancer), neuroimaging (skizophrenia, CJD), and
orthopaedic surgery (knee surgery).
His research is often collaborative and involves universities and
clinical environment. He is currently adjunct A/Prof at the
University of Queensland, School of Information Technology and
Electrical Engineering, and adjunct senior lecturer at the
University of Sydney, department of Electrical
Engineering. Dr. Ourselin is also Honorary Medical Physicist at
Westmead Hospital, Department of radiology.
Type: ITEE Seminar
Contact:Stuart Crozier, seminar host (stuart@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator)
(guido@itee.uq.edu.au)