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Two prestigious MICCAI Young Scientist Awards

Two researchers from the Department’s Institute of Biomedical Engineering have each received one of this year’s prestigious Medical Image Computing and Computer Assisted Intervention (MICCAI) Young Scientist Awards at the 2013 MICCAI Conference in Nagoya, Japan. The MICCAI Conference is one of the most important conferences in the field of medical image analysis.

Dr Bartlomiej W. Papiez received the award for the paper titled: “Complex lung motion estimation via adaptive bilateral filtering of the deformation field”. Authors of this paper were Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser and Julia A. Schnabel. The MICCAI awards Committee commented: “A surprisingly simple and efficient implicit model of discontinuities to allow sliding motion in diffeomorphic registration".

respiratory cycle image differencerespiratory cycle magnitude
Registration results for 4D CT respiratory data. Left image shows the overlay of differences between inhale and exhale phases during registration using the adaptive bilateral filtering procedure of the deformation field. The right image shows the magnitude of the estimated deformation field. Registration using the proposed method yields smooth deformation inside the pleura cavity whilst preserving sliding motion at the lung boundary.

Dr Papiez said: “My main research focus is to develop automated medical imaging techniques that can efficiently support a wide range of specialists in their clinical practices including but not limited to diagnosis, quantitative assessment of disease/treatment progression, and for treatment adjustment procedures during image-guided radiotherapy. During the MICCAI Conference in Nagoya, we presented a novel automated image registration framework that aligns two CT (Computed Tomography) volumes of the same patient acquired during a respiratory cycle. Our methodology is a result of a compromise between a realistic (therefore complex) description of motion inside the thoracic cage, and an efficient (simple) computational model of organ deformation. Possible clinical applications of this method include monitoring changes of lung tumours during treatment, especially when such a tumour is located close to chest boundaries”.

Today, Dr Bartlomiej Papiez is one of the Senior Research Assistants of the Image Analysis Programme (part of the recently renewed Oxford Cancer Imaging Centre), led by Dr Julia Schnabel, Co-director of the Department’s Biomedical Image Analysis (BioMedIA) Group.

Dr Ivor Simpson received the award for the paper titled: “A Bayesian approach for spatially adaptive regularisation in non-rigid registration”. Authors of this paper were Ivor Simpson, Mark W. Woolrich, Manuel Jorge Cardoso, David M. Cash, Marc Modat, Julia A. Schnabel and Sebastien Ourselin. The MICCAI awards Committee commented: “An important step in Bayesian registration for handling the complexity of deformation uncertainty".

MICCAI 2013 Award Ceremony
Photo courtesy of the MICCAI Conference organisers.

MICCAI 2013 Young Scientist Award Ceremony. Dr. Xavier Pennec (pictured left), Dr. Bartek Papiez (pictured centre), Dr. Ivor Simpson (pictured second from the right), Prof. Alison Noble, president of MICCAI Society (pictured right).
Dr Ivor Simpson, a former researcher of the Department’s BioMedIA Group, is now a post-doctoral research associate at the Centre for Medical Image Computing at University College London (UCL).

The MICCAI Society’s goals and focus are multi-disciplinary in nature and bring together scientists, engineers, physicians, surgeons, educators and students who contribute to and participate in the mission and activities of the Society. Professor Alison OBE, Director of the Department’s Institute for Biomedical Engineering, is currently the president of the MICCAI Society.

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