基于序列特性的胸部标记物自动分割

doi:10.12068/j.issn.1005-3026.2016.12.008

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (12): 1705-1709.DOI: 10.12068/j.issn.1005-3026.2016.12.008

基于序列特性的胸部标记物自动分割

鲍楠，崔智铭，庄锦锋，康雁

(东北大学中荷生物医学与信息工程学院，辽宁沈阳110169)

收稿日期:2015-07-16 修回日期:2015-07-16 出版日期:2016-12-15 发布日期:2016-12-23
通讯作者: 鲍楠
作者简介:鲍楠(1981-)，女，内蒙古赤峰人，东北大学讲师，博士研究生；康雁(1964-)，男，辽宁沈阳人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金资助项目(61372014).

Automatic Segmentation of Fiducial Marker Based on Sequence Characteristics

BAO Nan， CUI Zhi-ming， ZHUANG Jin-feng， KANG Yan

School of Sino-Dutch Biomedical & Information Engineering， Northeastern University， Shenyang 110169， China.

Received:2015-07-16 Revised:2015-07-16 Online:2016-12-15 Published:2016-12-23
Contact: KANG Yan
About author:-
Supported by:
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摘要/Abstract

摘要： 手术导航系统广泛使用外置标记物进行点配准，在配准过程中，需要选取图像中标记物的中心.为了实现标记物中心自动定位，基于肺穿刺手术导航系统设计了一种自动分割标记物算法.该算法先对胸部CT图像初分割得到疑似标记物；然后根据标记物在胸部图像中的序列特性，对疑似标记物进行筛选，得到正确标记物.实验结果表明，该方法与手动分割标记物的重合率达到95%以上，中心坐标误差小于0.22mm.

关键词: 手术导航, 标记物分割, 序列特性, 点配准, 胸部CT图像

Abstract: The fiducial markers are widely used for point-pair registration in the image-guided surgery. When performing the registration， the centers of the fiducial markers will be picked. For localization of the fiducial markers， an automatic approach for the segmentation of markers was proposed based on the lung biopsy image-guided surgery system. Firstly， the candidate markers were coarsely segmented from the chest CT image. Then the real markers were detected and confirmed from the candidate markers according to the sequence characteristics approach. Experiments showed that， comparing with the results of manual segmentation， the method can segment the markers with 95% pixel overlap rate and the center localization error is less than 0.22mm.

Key words: image-guided surgery, marker segmentation, sequence characteristics, point-pair registration, chest CT image

中图分类号:

R319

鲍楠，崔智铭，庄锦锋，康雁. 基于序列特性的胸部标记物自动分割[J]. 东北大学学报:自然科学版, 2016, 37(12): 1705-1709.

BAO Nan， CUI Zhi-ming， ZHUANG Jin-feng， KANG Yan. Automatic Segmentation of Fiducial Marker Based on Sequence Characteristics[J]. Journal of Northeastern University Natural Science, 2016, 37(12): 1705-1709.

参考文献

[1]Zitova B，Flusser J.Image registration methods:a survey［J］.Image & Vision Computing，2003，21(11):977-1000.
[2]Woerdeman P A，Willems P W，Noordmans H J，et al.Application accuracy in frameless image-guided neurosurgery:a comparison study of three patient-to-image registration methods［J］.Journal of Neurosurgery，2007，106(6):1012-1016.
[3]Wang M，Song Z.Automatic detection of fiducial marker center based on shape index and curvedness［C］//Medical Imaging and Augmented Reality.Berlin:Springer，2008:81-88.
[4]Ji S，Roberts D W，Hartov A，et al.Intraoperative patient registration using volumetric true 3D ultrasound without fiducials［J］.Medical Physics，2012，39(12):7540-7552.
[5]Dang H，Otake Y，Schafer S，et al.Robust methods for automatic image-to-world registration in cone-beam CT interventional guidance［J］.Medical Physics，2012，39(10):6484-6498.
[6]Wang M Y，Maurer C R，Fitzpatrick J M，et al.An automatic technique for finding and localizing externally attached markers in CT and MR volume images of the head［J］.IEEE Transactions on Biomedical Engineering，1996，43(6):627-637.
[7]Chen D G，Tan J，Chaudhary V，et al.Automatic fiducial localization in brain images［J］.International Journal of Computer Assisted Radiology & Surgery，2006，1(6):45-47.
[8]Tan J，Chen D G，Chaudhary V，et al.A template based technique for automatic detection of fiducially markers in 3D brain images［J］.International Journal of Computer Assisted Radiology and Surgery，2006，1(6):47-49.
[9]Gu L，Peters T.3D automatic fiducial marker localization approach for frameless stereotactic neuro-surgery navigation［J］.Lecture Notes in Computer Science，2004，3150:329-336.(上接第1690页)3结论本文利用酒精选择性填充普通光子晶体光纤的方法，使无截止光子晶体光纤产生双折射效应，并嵌入到Sagnac干涉环系统测量应变.实验结果表明，此系统测量微应变的灵敏度能够达到3.66pm，并具有良好的线性度.与传统的基于光纤光栅和保偏光子晶体光纤应变传感器相比，此系统具有成本低、制造简单、稳定性高等优点.

基于序列特性的胸部标记物自动分割

Automatic Segmentation of Fiducial Marker Based on Sequence Characteristics

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