[1]陈丽霞,亓孟科,宋婷,等.基于分段B样条形变配准方法的头颈部伪CT生成研究[J].中国医学物理学杂志,2022,39(1):44-50.[doi:DOI:10.3969/j.issn.1005-202X.2022.01.008]
　CHEN Lixia,QI Mengke,SONG Ting,et al.Head and neck synthetic-CT generation based on segmented B-spline deformable registration method[J].Chinese Journal of Medical Physics,2022,39(1):44-50.[doi:DOI:10.3969/j.issn.1005-202X.2022.01.008]
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基于分段B样条形变配准方法的头颈部伪CT生成研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第1期
页码:
44-50
栏目:
医学影像物理
出版日期:
2022-01-17

文章信息/Info

Title:
Head and neck synthetic-CT generation based on segmented B-spline deformable registration method
文章编号:
1005-202X（2022）01-0044-07
作者:
陈丽霞; 亓孟科; 宋婷; 卢广文
南方医科大学生物医学工程学院， 广东 广州 510515
Author(s):
CHEN Lixia;  QI Mengke;  SONG Ting;  LU Guangwen
School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
关键词:
分段B样条形变配准方法; 头颈部; 伪CT;  Dice相似性系数; 平均绝对误差
Keywords:
segmented B-spline deformable registration method head and neck synthetic-CT Dice similarity coefficient average absolute error
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2022.01.008
文献标志码:
A
摘要:
目的：探讨分段B样条形变配准方法在头颈部伪CT（sCT）生成中的应用，以及对sCT生成精度的影响。方法：收集已经进行调强放射治疗的鼻咽癌患者45例，每例计划均包括头颈部T1加权核磁共振成像（MRI）和CT图像。使用3D Slicer软件对MRI和CT图像分别进行分段B样条形变配准、整体B样条形变配准、分段刚性配准和整体刚性配准4种方法配准，比较配准后的MRI图像和真实CT图像的Dice相似性系数（DSC）值。随机选取其中的30例患者作为训练集，15例患者为测试集，将配准后的MRI和CT图像通过pix2pix网络进行模型训练生成sCT，对生成的sCT和真实CT进行平均绝对误差（MAE）、结构相似性系数（SSIM）和峰值信噪比（PSNR）值的比较，分析通过阈值法分割为不同组织（骨头、软组织、空气和脂肪）的MAE值。结果：配准后的MRI和真实CT图像比较，分段B样条形变配准方法的DSC值最优；使用4种配准方法生成的sCT和真实CT图像进行MAE、SSIM和PSNR值比较，分段配准方法比整体配准方法好，B样条形变配准方法比刚性配准方法好。分段B样条形变配准方法的MAE值为（74.783±9.869） HU，SSIM值为0.839±0.032，PSNR值为（28.859±0.957） dB，均比其余几种配准方法好。分段B样条形变配准方法在骨头、软组织和脂肪区域的MAE值较好，但是在空气区域的MAE值较刚性配准方法稍差。结论：分段B样条形变配准方法在头颈部sCT生成精度优于整体和刚性配准方法，该方法可以改善头颈部图像的配准精度，从而改善sCT的生成精度。 【关键词】分段B样条形变配准方法；头颈部；伪CT； Dice相似性系数；平均绝对误差
Abstract:
Abstract: Objective To explore the application of segmented B-spline deformable registration method in the generation of synthetic-CT (sCT) of the head and neck, and to discuss its effects on the accuracy of sCT generation. Methods A total of 45 cases of nasopharyngeal carcinoma treated with intensity-modulated radiotherapy were collected, each of which includes T1-weighted MRI images and CT images. 3D Slicer software was used to perform segmented B-spline deformable registration, global B-spline deformable registration, segmented rigid registration and global rigid registration for MRI and CT images. The Dice similarity coefficient (DSC) values of the MRI image after registration and real CT image were compared. Thirty of the patients were randomly selected as training set, and the other 15 cases as test set. The MRI and CT images after registration were trained to generate sCT through pix2pix network. The average absolute error (MAE), structural similarity coefficient (SSIM) and peak signal-to-noise ratio (PSNR) were compared between generated sCT and real CT. Moreover, the MAE of different tissues (bones, soft tissues, air and lipids) divided by threshold method was analyzed. Results Through the comparison on MRI after registration and real CT images, the DSC value of segmented B-spline deformable registration method was found to be optimal. The comparison on MAE, SSIM and PSNR between the real sCT and the sCT generated by 4 registration methods showed that the segmented registration method was better than the global registration method, and that B-spline deformable registration method was superior to rigid registration method. The MAE, SSIM and PSNR of segmented B-spline deformable registration method were (74.783±9.869) HU, 0.839±0.032 and (28.859±0.957) dB, respectively, which were better than those of the other registration methods. Segmented B-spline deformable registration method also achieved better MAE in the bones, soft tissues and lipids, but the MAE in the air was slightly worse than that of rigid registration method. Conclusion The segmented B-spline deformable registration method is superior to the global B-spline deformable registration method and rigid registration method in the head and neck sCT generation. The proposed method can improve the registration accuracy of head and neck images, thus enhancing the generation accuracy of sCT.

相似文献/References:

[1]陈辛元,闫雪娜,张凯旋,等.改装高通道线圈实现头颈部放疗模拟定位的可行性研究[J].中国医学物理学杂志,2020,37(4):397.[doi:DOI:10.3969/j.issn.1005-202X.2020.04.001]
　CHEN Xinyuan,YAN Xuena,ZHANG Kaixuan,et al.A feasibility study on reequipping multi-channel coils for simulation in head and neck radiotherapy[J].Chinese Journal of Medical Physics,2020,37(1):397.[doi:DOI:10.3969/j.issn.1005-202X.2020.04.001]

备注/Memo

备注/Memo:
【收稿日期】2021-08-19 【基金项目】广东省自然科学基金（2021A1515012044）；广州市科技计划项目（202102020968） 【作者简介】陈丽霞，硕士，研究方向：生物医学工程，E-mail: 730146014@qq.com 【通信作者】卢广文，教授，E-mail: gwlu@smu.edu.cn
更新日期/Last Update: 2022-01-17