CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
Guide-wire Detecting Using a Modified Cascade Classifier in Interventional Radiology
Wang, Li; Xie, Xiao-Liang; Gao, Zhan-Jie; Bian, Gui-Bin; Hou, Zeng-Guang
2016
Conference NameIEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)
Conference DateAUG 16-20, 2016
Conference PlaceOrlando, FL
AbstractEndovascular surgery is becoming a widespread
procedure to treat cardiovascular diseases (CVDs) such as
abdominal aortic aneurysm and peripheral artery disease. The
guide-wire is a crucial surgical instrument inserted into vessels
to offer guidance to physicians during the surgery. There are
some approaches for tracking the guide-wire, most algorithms
consist of two phases, namely, the initialization phase and the
tracking phase. In the initialization phase, most algorithms use
B-splines for modeling the guide-wire which requires manually
annotated data. In the tracking phase, the guide-wire motion
is non-linearity because it is deforming and changing its shape
and size as a result of patients’ respiration, some algorithms
decompose the non-linearity motion into rigid motion and
non-rigid motion, while the computational complexity is high
especially for the non-rigid motion. This paper mainly presents
an approach to detect the guide-wire. The algorithm has
two main advantages. First, without modeling the guide-wire,
this approach uses a cascade classifier which can detect the
guide-wire under arbitrary motion automatically. Second, by
taking the guide-wire motion direction into consideration, the
detection accuracy improves significantly. The presented work
has been validated on a test set of 349 frames, and the mean
tracking accuracy achieves more than 95% which proves the
effectiveness of the proposed method
 .
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20001
Collection复杂系统管理与控制国家重点实验室_先进机器人
Corresponding AuthorXie, Xiao-Liang
AffiliationState Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing.
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Li,Xie, Xiao-Liang,Gao, Zhan-Jie,et al. Guide-wire Detecting Using a Modified Cascade Classifier in Interventional Radiology[C],2016.
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