Suppr超能文献

用于图像引导自适应放射治疗的约束非刚性配准

Constrained non-rigid registration for use in image-guided adaptive radiotherapy.

作者信息

Greene W H, Chelikani S, Purushothaman K, Knisely J P S, Chen Z, Papademetris X, Staib L H, Duncan J S

机构信息

Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.

出版信息

Med Image Anal. 2009 Oct;13(5):809-17. doi: 10.1016/j.media.2009.07.004. Epub 2009 Jul 16.

Abstract

A constrained non-rigid registration (CNRR) algorithm for use in prostate image-guided adaptive radiotherapy is presented in a coherent mathematical framework. The registration algorithm is based on a global rigid transformation combined with a series of local injective non-rigid multi-resolution cubic B-spline Free Form Deformation (FFD) transformations. The control points of the FFD are used to non-rigidly constrain the transformation to the prostate, rectum, and bladder. As well, the control points are used to rigidly constrain the transformation to the estimated position of the pelvis, left femur, and right femur. The algorithm was tested with both 3D conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) dose plan data sets. The 3DCRT dose plan set consisted of 10 fan-beam CT (FBCT) treatment-day images acquired from four different patients. The IMRT dose plan set consisted of 32 cone-beam CT (CBCT) treatment-day images acquired from 4 different patients. The CNRR was tested with different combinations of anatomical constraints and each test significantly outperformed both rigid and non-rigid registration at aligning constrained bones and critical organs. The CNRR results were used to adapt the dose plans to account for patient positioning errors as well as inter-day bone motion and intrinsic organ deformation. Each adapted dose plan improved performance by lowering radiation distribution to the rectum and bladder while increasing or maintaining radiation distribution to the prostate.

摘要

在一个连贯的数学框架中,提出了一种用于前列腺图像引导自适应放疗的约束非刚性配准(CNRR)算法。该配准算法基于全局刚性变换与一系列局部单射非刚性多分辨率三次B样条自由形式变形(FFD)变换相结合。FFD的控制点用于非刚性地将变换约束到前列腺、直肠和膀胱。同样,控制点用于将变换刚性地约束到骨盆、左股骨和右股骨的估计位置。该算法用三维适形放疗(3DCRT)和调强放疗(IMRT)剂量计划数据集进行了测试。3DCRT剂量计划集由从四名不同患者获取的10张扇形束CT(FBCT)治疗日图像组成。IMRT剂量计划集由从4名不同患者获取的32张锥形束CT(CBCT)治疗日图像组成。对CNRR进行了不同解剖约束组合的测试,并且每次测试在对齐受约束骨骼和关键器官方面均显著优于刚性和非刚性配准。CNRR结果用于调整剂量计划,以考虑患者定位误差以及日间骨骼运动和内在器官变形。每个调整后的剂量计划通过降低对直肠和膀胱的辐射分布,同时增加或保持对前列腺的辐射分布来提高性能。

相似文献

1
Constrained non-rigid registration for use in image-guided adaptive radiotherapy.
Med Image Anal. 2009 Oct;13(5):809-17. doi: 10.1016/j.media.2009.07.004. Epub 2009 Jul 16.
2
A constrained non-rigid registration algorithm for use in prostate image-guided radiotherapy.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):780-8. doi: 10.1007/978-3-540-85988-8_93.
5
3D meshless prostate segmentation and registration in image guided radiotherapy.
Med Image Comput Comput Assist Interv. 2009;12(Pt 1):43-50. doi: 10.1007/978-3-642-04268-3_6.
8
Integrated segmentation and nonrigid registration for application in prostate image-guided radiotherapy.
Med Image Comput Comput Assist Interv. 2010;13(Pt 1):53-60. doi: 10.1007/978-3-642-15705-9_7.
9
A novel intensity similarity metric with soft spatial constraint for a deformable image registration problem in radiation therapy.
Med Image Comput Comput Assist Interv. 2009;12(Pt 1):828-36. doi: 10.1007/978-3-642-04268-3_102.
10
Automatic segmentation of intra-treatment CT images for adaptive radiation therapy of the prostate.
Med Image Comput Comput Assist Interv. 2005;8(Pt 1):442-50. doi: 10.1007/11566465_55.

引用本文的文献

1
Tissue-specific deformable image registration using a spatial-contextual filter.
Comput Med Imaging Graph. 2021 Mar;88:101849. doi: 10.1016/j.compmedimag.2020.101849. Epub 2020 Dec 29.
2
Deformable registration of CT and cone-beam CT with local intensity matching.
Phys Med Biol. 2017 Feb 7;62(3):927-947. doi: 10.1088/1361-6560/aa4f6d. Epub 2017 Jan 11.
3
Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints.
Radiat Oncol. 2016 Sep 20;11(1):122. doi: 10.1186/s13014-016-0697-4.
4
A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.
Neurocomputing (Amst). 2014 Nov 20;114:3-12. doi: 10.1016/j.neucom.2014.01.058.
5
Surface-constrained nonrigid registration for dose monitoring in prostate cancer radiotherapy.
IEEE Trans Med Imaging. 2014 Jul;33(7):1464-74. doi: 10.1109/TMI.2014.2314574. Epub 2014 Apr 1.
6
A novel approach for establishing benchmark CBCT/CT deformable image registrations in prostate cancer radiotherapy.
Phys Med Biol. 2013 Nov 21;58(22):8077-97. doi: 10.1088/0031-9155/58/22/8077. Epub 2013 Oct 31.
7
Performance validation of deformable image registration in the pelvic region.
J Radiat Res. 2013 Jul;54 Suppl 1(Suppl 1):i120-8. doi: 10.1093/jrr/rrt045.
8
Deformable medical image registration: a survey.
IEEE Trans Med Imaging. 2013 Jul;32(7):1153-90. doi: 10.1109/TMI.2013.2265603. Epub 2013 May 31.
9
Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy.
Med Image Anal. 2013 Apr;17(3):387-400. doi: 10.1016/j.media.2013.01.005. Epub 2013 Feb 4.
10
Simultaneous nonrigid registration, segmentation, and tumor detection in MRI guided cervical cancer radiation therapy.
IEEE Trans Med Imaging. 2012 Jun;31(6):1213-27. doi: 10.1109/TMI.2012.2186976. Epub 2012 Feb 6.

本文引用的文献

2
TRACKING ORGAN OVERLAP FOR A CONSTRAINED NON-RIGID REGISTRATION ALGORITHM.
Proc IEEE Int Symp Biomed Imaging. 2008;4541207:1159. doi: 10.1109/ISBI.2008.4541207.
3
A CONSTRAINED NON-RIGID REGISTRATION ALGORITHM FOR APPLICATION IN PROSTATE RADIOTHERAPY.
Proc IEEE Int Symp Biomed Imaging. 2007;4193392:740-743. doi: 10.1109/ISBI.2007.356958.
4
A constrained non-rigid registration algorithm for use in prostate image-guided radiotherapy.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):780-8. doi: 10.1007/978-3-540-85988-8_93.
6
Dosimetric consequences of intrafraction prostate motion.
Int J Radiat Oncol Biol Phys. 2008 Jul 1;71(3):801-12. doi: 10.1016/j.ijrobp.2007.10.049. Epub 2008 Jan 30.
7
Quantification of prostate and seminal vesicle interfraction variation during IMRT.
Int J Radiat Oncol Biol Phys. 2008 Jul 1;71(3):813-20. doi: 10.1016/j.ijrobp.2007.10.028. Epub 2008 Jan 22.
8
Diffeomorphic registration using B-splines.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):702-9. doi: 10.1007/11866763_86.
9
Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation.
Phys Med Biol. 2007 Feb 7;52(3):685-705. doi: 10.1088/0031-9155/52/3/011. Epub 2007 Jan 12.
10
Image-guided radiotherapy: rationale, benefits, and limitations.
Lancet Oncol. 2006 Oct;7(10):848-58. doi: 10.1016/S1470-2045(06)70904-4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验