Opportunities for image analysis in radiation oncology
Abstract
Ó Australasian College of Physical Scientists and Engineers in Medicine 2014 I recently attended the 33rd European Society for Radiotherapy and Oncology (ESTRO) conference in Vienna, Austria (along with approximately 5,000 others).While watching the scientific talks, which included an excellent Emmanuel van der Schueren Award Lecture from Prof. David Thwaites (University of Sydney), I was struck by the number of opportunities for medical image analysis in this field.In this editorial I'd like to briefly describe and highlight some of these opportunities.Medical image analysis is an exciting field that combines aspects of computer science, physics, biology, and mathematics for diagnosis, staging, treatment planning, and research.Image modalities have a variety of dimensionalities (generally 2D, 3D and 4D) and involve analysis of x-rays, digitally reconstructed radiographs (DRRs), electronic portal imaging (EPID), computed tomography (CT), cone beam CT (CBCT), magnetic resonance imaging (MRI) and positron emission tomography (PET).Different image modalities are often combined.Some example medical image analysis projects from our Biomedical Imaging Group at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), located at the Royal Brisbane and Women's Hospital, range from automatic knee cartilage thickness estimation from MRI [1]; early detection of Alzheimer's disease using imaging biomarkers [2]; early prediction of treatment response in advanced gliomas…
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