Immediate ROI Search for 3D Medical Images
- K. Simonyan ,
- M. Modat ,
- S. Ourselin ,
- A. Criminisi ,
- A. Zisserman ,
- Antonio Criminisi
MICCAI workshop on Medical Content-based Retrieval for Clinical Decision Support (MCBR-CDS) |
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 discriminative 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.