Automatic Lumbar Vertebrae Detection Based on Feature Fusion Deep Learning for Partial Occluded C-arm X-ray Images

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	Automatic Lumbar Vertebrae Detection Based on Feature Fusion Deep Learning for Partial Occluded C-arm X-ray Images
	Li Y(李杨); Liang W(梁炜); Zhang YL(张吟龙); An HB(安海波); Tan JD(谈金东)
	2016
会议名称	2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC)
会议日期	Augest 16-20, 2016
会议地点	Orlando, FL, USA
页码	647-650
通讯作者	梁炜 ; 谈金东
中文摘要	Automatic and accurate lumbar vertebrae detection is an essential step of image-guided minimally invasive spine surgery (IG-MISS). However, traditional methods still require human intervention due to the similarity of vertebrae, abnormal pathological conditions and uncertain imaging angle. In this paper, we present a novel convolutional neural network (CNN) model to automatically detect lumbar vertebrae for C-arm X-ray images. Training data is augmented by DRR and automatic segmentation of ROI is able to reduce the computational complexity. Furthermore, a feature fusion deep learning (FFDL) model is introduced to combine two types of features of lumbar vertebrae X-ray images, which uses sobel kernel and Gabor kernel to obtain the contour and texture of lumbar vertebrae, respectively. Comprehensive qualitative and quantitative experiments demonstrate that our proposed model performs more accurate in abnormal cases with pathologies and surgical implants in multi-angle views.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC)
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISSN号	1558-4615
ISBN号	978-1-4577-0219-8
WOS记录号	WOS:000399823501008
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/19509]
专题	沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式 GB/T 7714	Li Y,Liang W,Zhang YL,et al. Automatic Lumbar Vertebrae Detection Based on Feature Fusion Deep Learning for Partial Occluded C-arm X-ray Images[C]. 见:2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). Orlando, FL, USA. Augest 16-20, 2016.