Immediate ROI Search for 3-D Medical Images [chapter]

Karen Simonyan, Marc Modat, Sebastien Ourselin, David Cash, Antonio Criminisi, Andrew Zisserman
2013 Lecture Notes in Computer Science  
The objective of this work is a scalable, real-time, visual search engine for 3-D medical images, where a user is able to select a query Region Of Interest (ROI) and automatically detect the corresponding regions within all returned images. We make three contributions: (i) we show that with appropriate off-line processing, images can be retrieved and ROIs registered in real time; (ii) we propose and evaluate a number of scalable exemplar-based image registration schemes; (iii) we propose a
more » ... iminative method for learning to rank the returned images based on the content of the ROI. The retrieval system is demonstrated on MRI data from the ADNI dataset [9], and it is shown that the learnt ranking function outperforms the baseline.
doi:10.1007/978-3-642-36678-9_6 fatcat:xy4bwwaybbgh3kdkqtvpayhgpy