Automatic Lung Nodule Registration in Serial CT Scans(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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概要
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To identify corresponding pulmonary nodules in serial CT scans for interval change analysis, we propose a multi-stage registration technique. Our method is composed of two main steps. First, Gross translational mismatch is corrected by the coronal and sagittal MIPs-based rigid registration. These MIP images contain a rib structure which has the highest intensity region of the chest. Second, a nodule template in initial CT scans and a search volume in follow-up CT scans are defined respectively. The template matching is performed by searching for the maximum normalized cross-correlation between the nodule template and the candidate search volumes. For fast search, gray thresholding and multi-resolution technique is applied to the search volume. As the experimental results, the hitting rate of sixty nine pulmonary nodules in fifty serial chest CT scans was 98.5% and the total processing time per subject was 3.3 seconds on average.
- 2009-01-12
著者
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Park Chang
Department of Chemical and Biochemical Engineering, Dongguk University
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Jo Hyun
Division of Multimedia Engineering, Seoul Women's University
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Hong Helen
Division of Multimedia Engineering, Seoul Women's University
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Goo Jin
Department of Radiology, Seoul National University Hospital
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Jo Hyun
Division Of Multimedia Engineering Seoul Women's University
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Park Chang
Department Of Anatomic Pathology Chonnam National University Medical School
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Hong Helen
Division Of Multimedia Engineering College Of Information And Media Seoul Women's University
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Goo Jin
Department Of Radiology Seoul National University Hospital
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Goo Jin
Department Of Radiology Seoul National University College Of Medicine
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