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The current evidence regarding the usefulness of whole-body diffusion-weighted magnetic resonance imaging (DWI) in lymphoma is reviewed. DWI is capable of combining anatomical and functional information and is becoming a valuable tool in oncology, in particular for staging purposes. DWI may prove to be a useful biomarker in clinical decision making for(More)
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)
Arthroplasty, the implantation of prostheses into joints, is a surgical procedure that is affecting a larger and larger number of patients over time. As a result, it is increasingly important to develop imaging techniques to noninvasively examine joints with prostheses after surgery, both statically and dynamically in 3-D. The static problem is considered(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)