Section leader: dr. ir. Marius Staring
This research line aims to develop automatic image registration techniques and apply these to various bio-medical imaging problems.
Image registration is an important technique in the field of medical image processing. It refers to the process of spatially aligning datasets, possibly from different imaging modalities (e.g. MRI and CT), different time points (e.g., follow-up scans or dynamic studies), and even different subjects. In many applications, this involves the estimation of nonrigid deformations. Examples are the modeling of patterns of development or degeneration (e.g. local growth or atrophy), estimating soft tissue motion and deformation, and assessing or compensating for between-subject anatomical differences. Current methods for image registration are frequently very slow, rendering them unusable in a real-time setting such as time-critical intra-operative procedures. Part of our research focuses on algorithmic solutions towards real-time application, for example in a radiation therapy setting. Another important research focus is to ease the adoption of nonrigid image registration techniques in the clinic, by means of advanced interaction techniques, improved visualization, and high quality open access software implementation. The latter is realized through our image registration toolkit elastix.
- ADAPTNOW: High-Precision Cancer Treatment by Online Adaptive Proton Therapy
- Registration visualization
- Medical Image Registration - Linking Algorithm and User
- Fast Image Registration for Time-critical Medical Applications
- Brain MRI Image Analysis for an Ageing Population