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In prostate cancer radiotherapy, accurate segmentation of prostate and organs at risk in planning CT and follow-up CBCT images is an essential part of the therapy planning and optimization. Automatic segmentation is challenging because of the poor constrast in soft tissues. Although atlas-based approaches may provide a priori structural information by propagating manual expert delineations to a new...
The study of lymph node features over time is of great clinical significance. Identification of the corresponding CT image with the same lymph node is done manually in the current clinical practice. In this paper, we propose a search scheme to automate the process. Region of interest (ROIs) are located by mapping the center point of lymph node based on the transformation found in the rigid registration...
This paper presents a new method of medical image registration for affinely deformed images using steerable wavelets. Mutual information based methods are often used in medical image registration due to their accuracy. Multiresolution image registration approach has a potential to speed up the computation of mutual information based methods. In this paper, use of steerable wavelets is proposed for...
A new approach of medical image registration based on theories of mutual information and edge correlative deviation has been given in this paper. It takes advantage of the information contributed by the overall intensity values of original images as well as the correlation derived from the voxels' positions in edge images. It has been proven by tests that this new method inherits most merits of the...
Conformal radiotherapy is a therapeutic method requiring medical imaging, generally CT images to obtain Hounsfield number and electronic density data indications. The use of MRI simultaneously with CT imposes to deform CT images and superimpose them on MR images. The aim of this paper is to propose a nonrigid matching method between the two modalities (CT and MRI). The transformation model is defined...
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