2009
DOI: 10.1120/jacmp.v10i2.2906
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A comparative study of three CT and MRI registration algorithms in nasopharyngeal carcinoma

Abstract: Objective: To evaluate the image registration accuracy and efficiency of CT and MRI fusion using three algorithms in nasopharyngeal carcinoma (NPC). Methods and materials: Twelve sets of CT and MRI scans of 12 NPC patients were fused using three image registration algorithms, respectively: Mark‐and‐link, Interactive, and Normalized Mutual Information (NMI). Registration accuracy was evaluated by performing statistical analysis of the coordinate differences between CT and MR anatomical landmarks along the x‐, y… Show more

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Cited by 29 publications
(18 citation statements)
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“…A separate scan covering the whole phantom was acquired in the body coil for comparison. Images were transferred to the Xio® planning system (Elekta AB, Stockholm, Sweden) and fused using mutual information [18]. Figure 1 shows an image of the distortion phantom along with maps of the difference between the known and measured distances at each grid location.…”
Section: Materials and Methods/volunteersmentioning
confidence: 99%
“…A separate scan covering the whole phantom was acquired in the body coil for comparison. Images were transferred to the Xio® planning system (Elekta AB, Stockholm, Sweden) and fused using mutual information [18]. Figure 1 shows an image of the distortion phantom along with maps of the difference between the known and measured distances at each grid location.…”
Section: Materials and Methods/volunteersmentioning
confidence: 99%
“…In the present study, new DWT and image fusion based denoising techniques were proposed to [18] used the original image as the input image for image infusion in CT and MRI images in order to measure the location and enlargement of a brain tumor. Angoth, et al [19] used the original image as the input image to detect the size and position of a brain tumor in CT and MRI images.…”
Section: Discussionmentioning
confidence: 99%
“…The slices from CT scan sequence and MRI study sets are selected using anatomical and structural similarities with the help of radiologists. The interactive registration approach is used for registration process in this paper [18]. These registered source images are decomposed using RWT to extract edge-based features prominently.…”
Section: Proposed Systemmentioning
confidence: 99%