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Li, Z. (author), Van Vliet, L.J. (author), Stoker, J. (author), Vos, F.M. (author)
Image registration of medical images in the presence of large intra-image signal fluctuations is a challenging task. Our paper addresses this problem by introducing a new concept based on the structure tensor of the local phase. The local phase is calculated from the monogenic signal representation of the images. The local phase image is hardly...
conference paper 2015
document
Caan, M.W.A. (author), Ganesh Khedoe, H. (author), Poot, D.H.J. (author), Den Dekker, A.J. (author), Olabarriaga, S.D. (author), Grimbergen, K.A. (author), Van Vliet, L.J. (author), Vos, F.M. (author)
There is an ongoing debate on how to model diffusivity in fiber crossings. We propose an optimization framework for the selection of a dual tensor model and the set of diffusion weighting parameters b, such that both the diffusion shape and orientation parameters can be precisely as well as accurately estimated. For that, we have adopted the...
journal article 2010
document
Van Wijk, C. (author), Van Ravesteijn, V.F. (author), Vos, F.M. (author), Van Vliet, L.J. (author)
Today’s computer aided detection systems for computed tomography colonography (CTC) enable automated detection and segmentation of colorectal polyps.We present a paradigm shift by proposing a method that measures the amount of protrudedness of a candidate object in a scale adaptive fashion. One of the main results is that the performance of the...
journal article 2010
document
Grigorescu, S.E. (author), Nevo, S.T. (author), Liedenbaum, M.H. (author), Truyen, R. (author), Stoker, J. (author), Van Vliet, L.J. (author), Vos, F.M. (author)
Computerized tomographic colonography is a minimally invasive technique for the detection of colorectal polyps and carcinoma. Computer-aided diagnosis (CAD) schemes are designed to help radiologists locating colorectal lesions in an efficient and accurate manner. Large lesions are often initially detected as multiple small objects, due to which...
journal article 2010
document
Van Ravesteijn, V.F. (author), Van Wijk, C. (author), Vos, F.M. (author), Truyen, R. (author), Peters, J.F. (author), Stoker, J. (author), Van Vliet, L.J. (author)
We present a computer-aided detection (CAD) system for computed tomography colonography that orders the polyps according to clinical relevance. TheCADsystem consists of two steps: candidate detection and supervised classification. The characteristics of the detection step lead to specific choices for the classification system. The candidates are...
journal article 2010
document
Van de Giessen, M. (author), Streekstra, G.J. (author), Strackee, S.D. (author), Maas, M. (author), Grimbergen, K.A. (author), Van Vliet, L.J. (author), Vos, F.M. (author)
Comparing wrist shapes of different individuals requires alignment of these wrists into the same pose. Unconstrained registration of the carpal bones results in anatomically nonfeasible wrists. In this paper, we propose to constrain the registration using the shapes of adjacent bones, by keeping the width of the gap between adjacent bones...
journal article 2009
document
Serlie, I.W. (author), Vos, F.M. (author), Truyen, R. (author), Post, F.H. (author), Van Vliet, L.J. (author)
A fully automated method is presented to classify 3-D CT data into material fractions. An analytical scale-invariant description relating the data value to derivatives around Gaussian blurred step edges—arch model—is applied to uniquely combine robustness to noise, global signal fluctuations, anisotropic scale, noncubic voxels, and ease of use...
journal article 2007
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