In this paper we present an efficient and robust vertebra segmentation algorithm for CT data. It proved reliable even for cases with damaged vertebrae or missing intervertebral discs. The resulting segmentation is then used to define the corresponding regions of interest in a piecewise rigid registration of the spine between CT and MR datasets of the same patient. The resulting deformation fiel...

Consideration of information from multiple modalities has been shown to have increased diagnostic power in breast imaging. As a result, new techniques such as microwave imaging continue to be developed. Interpreting these novel image modalities is a challenge, requiring comparison to established techniques such as the gold standard X-ray mammography. However, due to the highly deformable nature...

Multimodal image registration is a difficult task, due to the significant intensity variations between the images. A common approach is to use sophisticated similarity measures, such as mutual information, that are robust to those intensity variations. However, these similarity measures are computationally expensive and, moreover, often fail to capture the geometry and the associated dynamics l...

Computer-aided diagnosis (CAD) systems for the detection of cancer in medical images require precise labeling of training data. For magnetic resonance (MR) imaging (MRI) of the prostate, training labels define the spatial extent of prostate cancer (CaP); the most common source for these labels is expert segmentations. When ancillary data such as whole mount histology (WMH) sections, which provi...

Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease progression. Within medical research (e.g. neuroscience research) they are used to investigate disease processes and understand normal development and ageing. Technically, medical imaging mainly processes missing, ambiguous, complementary, redundant and distor...

One of the major gaps in the current HTML5 web platform is the lack of interoperable means for an application to discover services and applications available in a given space and network. This problem is shared by the multimodal applications developed with web technologies, for example, in smart houses or applications for the Internet of Things. To address this gap, we produced a SOA approach f...