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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Mohammad Dawood 1, Xioayi Jiang 2, Klaus P Schäfers 1, Ottmar Schober 1 1 Department of Nuclear Medicine, University of Münster, Germany 2 Department of Computer Science, University of Münster, Germany. 3D Lung Segmentation on PET/CT Images.
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 The Problem CT segmentation cannot be used because: PET represents the whole respiratory cycle CT represents only one stage
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Use the CT information for lung detection on PET images i.e. look for the lung boundary on PET images near the lung boundary found on CT images Use the CT to Restrict the Search Space
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Find Correspondence Lines and Segment Find correspondence lines in the restricted space (Dual Band) Create the cost matrix Find the optimal path in it
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Use dynamic programming for finding the optimal path in the matrix –Because it is fast robust global non-iterative Optimal Path 3096 5302 3621 4732 …………
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Extension of Dynamic Programming to 3D Extend the 2D dynamic programming to 3D Extend the 3D model to our case by making it piecewise linear
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Results
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Results
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3D Lung Segmentation on PET-CT Images Mohammad Dawood et al SNM 2005 Results
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