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PubMed · 15852554

[Method for segmenting medical image based on anatomical model].

Xiao-qiang Yang·Bin Li·Sheng-min Wei
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Abstract

OBJECTIVE: To improve the automatization and reliability of medical image segmentation. METHOD: An anatomical model was built and used to guide the low-level segmentation process. The system architecture was made up of an anatomical model, image processing routines and an inference engine, the interaction of which are governed by a blackboard. RESULT: The result of application of the segmentation for chest CT image was satisfactory and needs less operator intensive. CONCLUSION: This method improves automatization and reliability of the medical image segmentation. Because of the good expansibility, it may serve as a template for knowledge-based processing of medical image.

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Computer SimulationFeasibility StudiesHumansImage Processing, Computer-AssistedLungModels, AnatomicPhantoms, ImagingRadiography, ThoracicTomography, X-Ray ComputedJournal Article

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Xiao-qiang Yang, Bin Li, Sheng-min Wei. 2005. [Method for segmenting medical image based on anatomical model].. https://pubmed.ncbi.nlm.nih.gov/15852554/

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