Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classification

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• 作者：Muhammad Laiq Ur Rahman Shahid ; Teodora Chitiboi ; Tetyana Ivanovska…
• 关键词：Para ; pharyngeal fat pads segmentation ; Upper airway segmentation ; Interactive visual analysis tool ; Obstructive sleep apnea (OSA) ; Magnetic resonance imaging (MRI)
• 刊名：BMC Medical Imaging
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：17
• 期：1
• 全文大小：3211KB
• 刊物主题：Imaging / Radiology;
• 出版者：BioMed Central
• ISSN：1471-2342
• 卷排序：17

文摘

BackgroundObstructive sleep apnea (OSA) is a public health problem. Detailed analysis of the para-pharyngeal fat pads can help us to understand the pathogenesis of OSA and may mediate the intervention of this sleeping disorder. A reliable and automatic para-pharyngeal fat pads segmentation technique plays a vital role in investigating larger data bases to identify the anatomic risk factors for the OSA.