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A deformable model-based system for 3D analysis and visualization of tumor in PET/CT images

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6 Author(s)
Landre, Jerome ; CReSTIC, IUT de Troyes, 9 Rue de Qu?bec, 10026 Cedex, France ; Lebonvallet, Stephane ; Ruan, Su ; Li Xiaobing,
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This paper presents a tumor detecting system that allows interactive 3D tumor visualization and tumor volume measurements. An improved level set method is proposed to automatically segment the tumor images slice by slice. PET images are used to detect the tumor while CT images make a 3D representation of the patient's body possible. An initial slice with a seed within the tumor is firstly chosen by the operator. The system then performs automatically the tumor volume segmentation that allows the clinician to visualize the tumor, to measure it and to evaluate the best medical treatment adapted to the patient.

Published in:

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Date of Conference:

20-25 Aug. 2008

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