Poisson-based implicit shape space analysis with application to CT liver segmentation

Thesis

A patient-specific model of the liver can supply accurate volume measurements for oncologists and lesion locations and liver visualisation for surgeons. Our work seeks to enable an automatic computational tool for liver quantification. To create this model, the liver shape must be segmented from 3D CT images. In doing so, we can quantify liver volume and restrict the region of interest to ease the task of tumour and vascular segmentation.

The main objective of liver segmentation deve...

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Authors: Vesom, G

• Publication date: 2010
• DOI: 10.5287/ora-nobyo8djk
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: level-set segmentation; shape representation; manifold learning; PCA; implicit shape
• Subjects: Partial differential equations; Biomedical engineering; Applications and algorithms