• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

胰腺癌患者中基于强度和轮廓的可变形图像配准准确性评估

Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients.

作者信息

Kubota Yoshiki, Okamoto Masahiko, Li Yang, Shiba Shintaro, Okazaki Shohei, Komatsu Shuichiro, Sakai Makoto, Kubo Nobuteru, Ohno Tatsuya, Nakano Takashi

机构信息

Gunma University Heavy Ion Medical Center, Maebashi 371, Japan.

Graduate School of Medicine, Gunma University, Maebashi 371, Japan.

出版信息

Cancers (Basel). 2019 Sep 27;11(10):1447. doi: 10.3390/cancers11101447.

DOI:10.3390/cancers11101447
PMID:31569617
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6826682/
Abstract

We aimed to clarify the accuracy of rigid image registration and deformable image registration (DIR) in carbon-ion radiotherapy (CIRT) for pancreatic cancer. Six patients with pancreatic cancer who were treated with passive irradiation CIRT were enrolled. Three registration patterns were evaluated: treatment planning computed tomography images (TPCT) to CT images acquired in the treatment room (IRCT) in the supine position, TPCT to IRCT in the prone position, and TPCT in the supine position to the prone position. After warping the contours of the original CT images to the destination CT images using deformation matrices from the registration, the warped delineated contours on the destination CT images were compared with the original ones using mean displacement to agreement (MDA). Four contours (clinical target volume (CTV), gross tumor volume (GTV), stomach, duodenum) and four registration algorithms (rigid image registration [RIR], intensity-based DIR [iDIR], contour-based DIR [cDIR], and a hybrid iDIR-cDIR ([hDIR]) were evaluated. The means ± standard deviation of the MDAs of all contours for RIR, iDIR, cDIR, and hDIR were 3.40 ± 3.30, 2.2 1± 2.48, 1.46 ± 1.49, and 1.46 ± 1.37 mm, respectively. There were significant differences between RIR and iDIR, and between RIR/iDIR and cDIR/hDIR. For the pancreatic cancer patient images, cDIR and hDIR had better accuracy than RIR and iDIR.

摘要

我们旨在阐明刚性图像配准和可变形图像配准(DIR)在胰腺癌碳离子放疗(CIRT)中的准确性。纳入了6例接受被动照射CIRT治疗的胰腺癌患者。评估了三种配准模式:治疗计划计算机断层扫描图像(TPCT)与在治疗室仰卧位采集的CT图像(IRCT)配准、TPCT与俯卧位的IRCT配准,以及仰卧位的TPCT与俯卧位的TPCT配准。使用配准得到的变形矩阵将原始CT图像的轮廓扭曲到目标CT图像后,使用平均位移一致性(MDA)将目标CT图像上扭曲后的勾画轮廓与原始轮廓进行比较。评估了四个轮廓(临床靶体积(CTV)、大体肿瘤体积(GTV)、胃、十二指肠)和四种配准算法(刚性图像配准[RIR]、基于强度的DIR[iDIR]、基于轮廓的DIR[cDIR]和混合iDIR - cDIR[hDIR])。RIR、iDIR、cDIR和hDIR所有轮廓的MDA均值±标准差分别为3.40±3.30、2.21±2.48、1.46±1.49和1.46±1.37mm。RIR与iDIR之间,以及RIR/iDIR与cDIR/hDIR之间存在显著差异。对于胰腺癌患者图像,cDIR和hDIR的准确性优于RIR和iDIR。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/34a87c2fe225/cancers-11-01447-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/8819efad16a8/cancers-11-01447-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/7222803c28ec/cancers-11-01447-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/3f30f4f4e5f2/cancers-11-01447-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/34a87c2fe225/cancers-11-01447-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/8819efad16a8/cancers-11-01447-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/7222803c28ec/cancers-11-01447-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/3f30f4f4e5f2/cancers-11-01447-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1f/6826682/34a87c2fe225/cancers-11-01447-g004.jpg

相似文献

1
Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients.胰腺癌患者中基于强度和轮廓的可变形图像配准准确性评估
Cancers (Basel). 2019 Sep 27;11(10):1447. doi: 10.3390/cancers11101447.
2
Determination of Deformable Image Registration Algorithms for Accumulating Dose in Carbon-ion Radiotherapy for Pancreatic Cancer.胰腺癌碳离子放疗中累积剂量的形变图像配准算法的确定。
Anticancer Res. 2021 Feb;41(2):835-843. doi: 10.21873/anticanres.14836.
3
Comparison of rigid and deformable image registration for nasopharyngeal carcinoma radiotherapy planning with diagnostic position PET/CT.比较诊断体位 PET/CT 引导下鼻咽癌放疗计划中刚性和弹性图像配准。
Jpn J Radiol. 2020 Mar;38(3):256-264. doi: 10.1007/s11604-019-00911-6. Epub 2019 Dec 13.
4
Comparison of rigid and deformable registration through the respiratory phases of four-dimensional computed tomography image data sets for radiotherapy after breast-conserving surgery.通过保乳手术后放疗的四维计算机断层扫描图像数据集的呼吸阶段比较刚性配准和可变形配准。
Medicine (Baltimore). 2017 Dec;96(50):e9143. doi: 10.1097/MD.0000000000009143.
5
Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy.自适应头颈部放疗中用于CT与锥形束CT图像间轮廓传播的十种可变形图像配准算法的综合评估
PLoS One. 2017 Apr 17;12(4):e0175906. doi: 10.1371/journal.pone.0175906. eCollection 2017.
6
Evaluation of deformable image registration for contour propagation between CT and cone-beam CT images in adaptive head and neck radiotherapy.在自适应头颈部放射治疗中,评估用于CT与锥形束CT图像间轮廓传播的可变形图像配准。
Technol Health Care. 2016 Apr 29;24 Suppl 2:S747-55. doi: 10.3233/THC-161204.
7
SU-E-J-109: Accurate Contour Transfer Between Different Image Modalities Using a Hybrid Deformable Image Registration and Fuzzy Connected Image Segmentation Method.SU-E-J-109:使用混合可变形图像配准和模糊连接图像分割方法在不同图像模态之间进行精确轮廓转移。
Med Phys. 2012 Jun;39(6Part7):3677. doi: 10.1118/1.4734945.
8
Ablative margin quantification using deformable versus rigid image registration in colorectal liver metastasis thermal ablation: a retrospective single-center study.使用可变形与刚性图像配准技术评估结直肠肝转移热消融术的消融边界:一项回顾性单中心研究。
Eur Radiol. 2024 Sep;34(9):5541-5550. doi: 10.1007/s00330-024-10632-8. Epub 2024 Feb 9.
9
[Improvement Prediction on Contour Deformation Accuracy Using Deformable Image Registration Results Compared to Rigid Image Registration Results].[与刚性图像配准结果相比,使用可变形图像配准结果对轮廓变形精度的改进预测]
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020;76(7):665-673. doi: 10.6009/jjrt.2020_JSRT_76.7.665.
10
Investigating CT to CBCT image registration for head and neck proton therapy as a tool for daily dose recalculation.研究用于头颈部质子治疗的CT到CBCT图像配准,作为每日剂量重新计算的工具。
Med Phys. 2015 Mar;42(3):1354-66. doi: 10.1118/1.4908223.

引用本文的文献

1
Cumulative Dose Analysis in Adaptive Carbon Ion Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer.局部晚期非小细胞肺癌自适应碳离子放疗中的累积剂量分析
Cancers (Basel). 2025 Aug 20;17(16):2709. doi: 10.3390/cancers17162709.
2
Accuracy Evaluation of Dose Warping Using Deformable Image Registration in Carbon Ion Therapy.碳离子治疗中使用可变形图像配准的剂量变形精度评估
Int J Part Ther. 2024 Dec 17;15:100639. doi: 10.1016/j.ijpt.2024.100639. eCollection 2025 Mar.
3
Evaluation of the availability of single-position treatment with a rotating gantry and the validity of deformable image registration dose assessment for pancreatic cancer carbon-ion radiotherapy.

本文引用的文献

1
Comparison between bone matching and marker matching for evaluation of intra- and inter-fractional changes in accumulated dose of carbon ion radiotherapy for hepatocellular carcinoma.骨匹配与标记物匹配在评估肝细胞癌碳离子放疗累积剂量的内部分量和外部分量变化中的比较。
Radiother Oncol. 2019 Aug;137:77-82. doi: 10.1016/j.radonc.2019.04.026. Epub 2019 May 9.
2
Effect of setup and inter-fraction anatomical changes on the accumulated dose in CT-guided breath-hold intensity modulated proton therapy of liver malignancies.CT 引导下屏气容积调强质子治疗肝脏恶性肿瘤中摆位和分次间解剖变化对累积剂量的影响。
Radiother Oncol. 2019 May;134:101-109. doi: 10.1016/j.radonc.2019.01.028. Epub 2019 Feb 6.
3
评估旋转机架单体位治疗的可用性和胰腺癌碳离子放疗中形变图像配准剂量评估的有效性。
J Appl Clin Med Phys. 2024 Jun;25(6):e14330. doi: 10.1002/acm2.14330. Epub 2024 Mar 13.
4
Prior information guided auto-contouring of breast gland for deformable image registration in postoperative breast cancer radiotherapy.先验信息引导的乳腺自动轮廓勾画用于乳腺癌术后放疗中的可变形图像配准。
Quant Imaging Med Surg. 2021 Dec;11(12):4721-4730. doi: 10.21037/qims-20-1141.
5
Adaptive planning based on single beam optimization in passive scattering carbon ion radiotherapy for patients with pancreatic cancer.基于单束优化的自适应计划在胰腺癌被动散射碳离子放射治疗中的应用。
Radiat Oncol. 2021 Jun 19;16(1):111. doi: 10.1186/s13014-021-01841-2.
6
Improving deformable image registration with point metric and masking technique for postoperative breast cancer radiotherapy.利用点度量和掩膜技术改进可变形图像配准在乳腺癌术后放疗中的应用
Quant Imaging Med Surg. 2021 Apr;11(4):1196-1208. doi: 10.21037/qims-20-705.
7
Impact of Inter-fractional Anatomical Changes on Dose Distributions in Passive Carbon-Ion Radiotherapy for Prostate Cancer: Comparison of Vertical and Horizontal Fields.分次间解剖学变化对前列腺癌被动碳离子放射治疗剂量分布的影响:垂直野与水平野的比较
Front Oncol. 2020 Jul 28;10:1264. doi: 10.3389/fonc.2020.01264. eCollection 2020.
A multiparametric method to assess the MIM deformable image registration algorithm.
一种评估MIM可变形图像配准算法的多参数方法。
J Appl Clin Med Phys. 2019 Apr;20(4):75-82. doi: 10.1002/acm2.12564. Epub 2019 Mar 28.
4
Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy.三维成像系统在图像引导碳离子放射治疗中的价值
Cancers (Basel). 2019 Mar 2;11(3):297. doi: 10.3390/cancers11030297.
5
Evaluation of deformable image registration accuracy for CT images of the thorax region.评估胸部 CT 图像的形变图像配准精度。
Phys Med. 2019 Jan;57:191-199. doi: 10.1016/j.ejmp.2018.12.030. Epub 2019 Jan 12.
6
Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy.混合可变形图像配准算法在前列腺放射治疗中的应用价值。
J Appl Clin Med Phys. 2019 Jan;20(1):229-236. doi: 10.1002/acm2.12515. Epub 2018 Dec 27.
7
Multi-institutional Study of Carbon-ion Radiotherapy for Locally Advanced Pancreatic Cancer: Japan Carbon-ion Radiation Oncology Study Group (J-CROS) Study 1403 Pancreas.多机构碳离子放射治疗局部进展期胰腺癌的研究:日本碳离子放射治疗肿瘤学研究组(J-CROS)研究 1403 胰腺。
Int J Radiat Oncol Biol Phys. 2018 Aug 1;101(5):1212-1221. doi: 10.1016/j.ijrobp.2018.04.057. Epub 2018 May 1.
8
Influence of deformable image registration on 4D dose simulation for extracranial SBRT: A multi-registration framework study.形变图像配准对颅外 SBRT 的 4D 剂量模拟的影响:一种多配准框架研究。
Radiother Oncol. 2018 May;127(2):225-232. doi: 10.1016/j.radonc.2018.03.015. Epub 2018 Mar 29.
9
Carbon-ion radiotherapy for locoregional recurrence after primary surgery for pancreatic cancer.碳离子放疗用于胰腺癌根治性手术后局部区域复发
Radiother Oncol. 2018 Oct;129(1):101-104. doi: 10.1016/j.radonc.2018.02.003. Epub 2018 Feb 17.
10
Robustness of patient positioning for interfractional error in carbon ion radiotherapy for stage I lung cancer: Bone matching versus tumor matching.针对 I 期肺癌碳离子放射治疗中分次间误差的患者定位稳健性:骨匹配与肿瘤匹配。
Radiother Oncol. 2018 Oct;129(1):95-100. doi: 10.1016/j.radonc.2017.10.003.