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Method And System For Automatic Volumetric-Segmentation Of Human Upper Respiratory Tract
专利权人:
Council of Scientific & Industrial Research
发明人:
Bala Chakravarthy Neelapu,Harish Kumar Sardana,Om Prakash Kharbanda,Viren Sardana,Abhishek Gupta,Srikanth Vasamsetti
申请号:
US16118088
公开号:
US20190066303A1
申请日:
2018.08.30
申请国别(地区):
US
年份:
2019
代理人:
摘要:
Described herein is a method detecting a plurality of upper respiratory tract sub-regions automatically. Volume of interest (VOI) is identified based on the extraction of certain features, such as regional properties and shape-based features. The complete airway volume from a patient's data is identified by observing the area and eccentricity profiles of the certain volume/organ in the skull. Maxillary sinus area and eccentricity profile in the sagittal view is chosen in the present subject matter for level 1 VOI identification. Once a level 1VOI is identified, the other sub-regions existing in the same VOI are further identified as individual level 2 VOL Level 3 VOI is extracted based on the shape and geometric features of the organ. The extracted level 3 VOI is considered as the active contour that is followed by the initialized contour for the accurate segmentation of upper airway sub-regions.
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