多模态融合技术三维重建岩上静脉

吴世源, 何浩强, 陈正和, 牟永告, 李严兵, 黄文华, 钟世镇

中国临床解剖学杂志 ›› 2023, Vol. 41 ›› Issue (3) : 270-276.

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中国临床解剖学杂志 ›› 2023, Vol. 41 ›› Issue (3) : 270-276. DOI: 10.13418/j.issn.1001-165x.2023.3.05
断层影像解剖

多模态融合技术三维重建岩上静脉

  • 吴世源1 ,    何浩强2,    陈正和3,    牟永告3,    李严兵1,    黄文华1,4*,    钟世镇1*
作者信息 +

Three-dimensional reconstruction of superior petrosal vein by multi-modal fusion technology

  • Wu Shiyuan1, He Haoqiang2, Chen Zhenghe3, Mou Yonggao3, Li Yanbing1, Huang Wenhua1,4*, Zhong Shizhen1*
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摘要

目的   为了更客观、更个性化地体现岩上静脉(Superior petrosal vein, SPV)及其毗邻骨性结构的形态学特点,应用对比增强磁共振血管成像(Contrast enhanced magnetic resonance angiography,CEMRA)和电子计算机断层扫描(CT)相结合的多模态融合技术三维重建岩上静脉复合体及其周围颅骨的正常解剖结构,为解剖学研究和临床手术提供新的参考。 方法    通过对造影剂浓度、造影剂推注速度、开始扫描时间等的调整,扫描得到的3D CEMRA经过图像处理工作站MIP后处理软件判断岩上静脉复合体 (SPVC)显影成功。3D CEMRA与3D-CT的原始数据共同导入3Dslicer软件,通过图像配准、阈值分割、结构修剪和数据打包保存,最后把这两种模态的打包数据共同导入并同时3D融合显现。运用3Dslicer软件的测量模块对相关解剖参数进行测量。  结果    ①得到造影精度分别为乙状窦、岩上窦(Superior petrosal sinus,SPS)、 SPV、 SPV属支的相关造影参数,但是成功率不够稳定;②通过对头部CEMRA和头颅CT的DICOM数据的三维重建,得到SPV及其属支、SPS、乙状窦、横窦和海绵窦等静脉结构,内耳道、岩上窦沟和横窦沟等颅底特别是岩斜区附近的骨性解剖标志;③多模态融合后静脉结构和骨性结构的三维融合图;④运用3Dslicer软件中的测量模块测量的测量图示。  结论    提示影像学与3Dslicer软件的结合可以逼真地展示多模态融合的解剖结构,为解剖形态学的研究提供了新的可能,同时也可以为临床手术提供个性化参考。

Abstract

 【Abstract】    Objective   To reflect the morphological characteristics of SPV and its adjacent bone structures objectively, contrast enhanced magnetic resonance angiography (CEMRA) and computer tomography (CT) were used by combining with multi-modal fusion technology to reconstruct the normal anatomical structure of the superior petrosal vein complex and its surrounding skull, which providing reference for anatomical research and clinical surgery.   Methods   By adjusting the concentration of the contrast agent, the injection speed of the contrast agent, the start time of scanning, the scanned 3D CEMRA  was judged to be developed successfully  by the MIP post-processing of image processing workstation. The original data of 3D CEMRA and 3D-CT were imported into 3Dslicer software together. After image registration, threshold segmentation, structure pruning and data package storage, the packaged data of these two modalities were imported together and 3D fusion was performed at the same time. The related anatomical parameters were measured by using the module of 3Dslicer software.    Results  ①The relevant angiographic parameters of the sigmoid sinus, superior petrosal sinus (SPS), SPV, and SPV tributary was obtained, but the success rate was not stable; ②Through the three-dimensional reconstruction of the DICOM data from the head CEMRA and  cranial CT, SPV and its branch, SPS, sigmoid sinus, transverse sinus and cavernous sinus, bone anatomical landmarks of skull base such as  internal auditory canal, petrosal sinus groove and transverse sinus groove near the petrosal area were obtained; ③ Three-dimensional fusion map of venous structure and osseous structure after multi-modal fusion was obtained; ④The measurement diagram was obtained by using the measurement module in the 3Dslicer software.   Conclusions    The combination of imaging  and 3Dslicer software can realistically display the anatomical structure of multi-modal fusion, providing a new possibility for the study of anatomical morphology, and also providing personalized reference for clinical surgery.

关键词

岩上静脉;  /   / 解剖学;  /   / 神经外科;  /   / 影像学;  /   / CEMRA;  /   / 3Dslicer;  /   / 三维重建;  /   / 多模态融合

Key words

Superior petrosal vein;  /   / Anatomy;  /  Neurosurgery;  /   / Imaging;  /   / CEMRA;  /   / 3Dslicer / Three-dimensional reconstruction;  /   / Multimodal fusion

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吴世源, 何浩强, 陈正和, 牟永告, 李严兵, 黄文华, 钟世镇. 多模态融合技术三维重建岩上静脉[J]. 中国临床解剖学杂志. 2023, 41(3): 270-276 https://doi.org/10.13418/j.issn.1001-165x.2023.3.05
Wu Shiyuan, He Haoqiang, Chen Zhenghe, Mou Yonggao, Li Yanbing, Huang Wenhua, Zhong Shizhen. Three-dimensional reconstruction of superior petrosal vein by multi-modal fusion technology[J]. Chinese Journal of Clinical Anatomy. 2023, 41(3): 270-276 https://doi.org/10.13418/j.issn.1001-165x.2023.3.05
中图分类号: R323.1    

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基金

国家重点研发计划(2017YFC1103400);广东省科技计划项目(2016B090917001);广东省科技计划项目(2018B090944002) ;深圳市医疗卫生“三名工程”高层次医学团队(SZSM201612019)

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