Multi-object segmentation of head bones
作者： Dagmar Kainmueller , Hans Lamecker , Stefan Zachow , Heiko Seim
DOI:
关键词: Heuristic 、 Object (computer science) 、 Graph (abstract data type) 、 Skull 、 Segmentation 、 Focus (optics) 、 Computer science 、 Computer vision 、 Boundary (topology) 、 Mandible 、 Artificial intelligence
摘要: We present a fully automatic method for 3D segmentation of the mandibular bone from CT data. The includes an adaptation statistical shape models mandible, skull base and midfacial bones, followed by simultaneous graph-based optimization adjacent deformable models. to image data is performed according heuristic model typical intensity distribution in vincinity boundary, with special focus on accurate discrimination bones joint regions. An evaluation our based 18 scans shows that manual correction segmentations not necessary approx. 60% axial slices contain mandible.
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