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The potential of FDG-PET and MRI in monitoring response to treatment in lymphoma is reviewed. Both FDG-PET and MRI can provide whole body imaging. Both also share the advantage of combining functional and anatomical information. At present, hybrid FDG-PET and MDCT is the best technique for monitoring response to treatment, especially early response to(More)
The endovascular repair of a traumatic rupture of the thoracic aorta-that would otherwise lead to the death of the patient-is performed by delivering a stent-graft into the vessel at the rupture location. The age range of the affected patients is large and the stent-graft will stay in the body for the remaining life. The technique is relatively new, and no(More)
The learning of the shape and appearance behavior of complex anatomical structures is of growing importance in the successful use of medical imaging data. We propose a method to simultaneously learn a model of shape variation and the behavioral structure of objects in volumetric data sets. The algorithm performs a group-wise registration of a set of(More)
Standardized CT-based criteria used for lymphoma staging and follow-up and the current role of FDG-PET are reviewed. The current CT-based International Workshop Criteria (IWC) still have the main advantage of representing standardized criteria allowing comparability of clinical trials in patients with lymphoma. However, functional imaging with integrated(More)
This paper proposes a novel pose-invariant segmentation approach for left ventricle in 3D CT images. The proposed formulation is modular with respect to the image support (i.e. landmarks, edges and regional statistics). The prior is represented as a third-order Markov Random Field (MRF) where triplets of points result to a low-rank statistical prior while(More)
Segmentation and tracking of tagged MR images is a critical component of in vivo understanding for the heart dynamics. In this paper, we propose a novel approach which uses multi-dimensional features and casts the left ventricle (LV) extraction problem as a maximum posteriori estimation process in both the feature and the shape spaces. Exact integration of(More)
In total knee replacement surgery, also known as total knee arthro-plasty, prosthetics are implanted in the knee joint as treatment for progressive diseases such as arthritis or trauma. In this paper, we aim to recover the 3-D shape of bones and prosthetic devices in patients who have undergone total knee replacement. Such an objective is addressed using a(More)
In this paper, we propose an application of diffusion maps to fiber tract clustering in the human skeletal muscle. To this end, we define a metric between fiber tracts that encompasses both diffusion and localization information. This metric is incorporated in the diffusion maps framework and clustering is done in the embedding space using k-means.(More)