M. Berger and G. Gerig. Deformable area-based template matching with application to low contrast imagery, 1998. Home/Search Document Details and Download
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Region Matching with Missing Parts - Duci, Yezzi, Mitter, Soatto (Correct)
....detectors with a statistical model of the mutual distances between facial features. In this work, we intend to extend these techniques to situations where parts of the image cannot be used for matching (see [30] and at the same time landmark approaches fail. In the paper of Berger and Gerig [4], a deformable area based template matching is applied to low contrast medical images. In particular, they use a least squares template matching (LSM) with an automatic quality control of the resulting match. Nastar, Moghaddam and Pentland [22] proposed to use a statistical learning method for ....
M. Berger and G. Gerig. Deformable area-based template matching with application to low contrast imagery, 1998.
Automated Position Control in Conformal Radiotherapy - Feschet, Sarrut, Miguet (1999) (Correct)
....also to provide a numerical characterization of this displacement. The method we propose is mainly govern by the following choice: we do not want to try to segment the images acquired by the accelerator because they have a low contrast and a high signal noise ratio (conversely to various studies [BG98,FCB 95,GvDVvH96] Thus, our method has to deal with raw images without any pre processing. That is why we propose to use an intensity based registration technique to compute the transformation between a goal image and an acquired image. In section 2, we provide a precise description of our ....
....and so does not enable to follow the anatomical variations of the patient (for instance due to a weight loss) Our goal is to use the same MVI images and to propose an automatic system that helps at charac terizing and estimating the position of the patient on the table. Several studies [GvDVvH96,BG98] has shown that internal structures shown by a MVI are bonny structures such that we restrict the application of our method to the case of a tumor which is closed in projection to a bonny structure. Moreover, we restrict our study to the case of rigid transformations and we mainly focus on ....
M. Berger and G. Gerig. Deformable Area-based Template Matching with Application to Low Contrast Imagery. Technical report, BIWI - ETH Zurich, September 1998.
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