Literature DB >> 26405859

Deformable image registration of CT images for automatic contour propagation in radiation therapy.

Qian Wu1,2,3,4,5, Ruifen Cao2,3,5, Xi Pei2,3,5, Jing Jia2,3,5, Liqin Hu1,2,3,5.   

Abstract

Radiotherapy treatment plan may be replanned due the changes of tumors and organs at risk (OARs) during the treatment. Deformable image registration (DIR) based Computed Tomography (CT) contour propagation in the routine clinical setting is expected to reduce time needed for necessary manual tumors and OARs delineations and increase the efficiency of replanning. In this study, a DIR method was developed for CT contour propagation. Prior structure delineations were incorporated into Demons DIR, which was represented by adding an intensity matching term of the delineated tissues pairs to the energy function of Demons. The performance of our DIR was evaluated with five clinical head-and-neck and five lung cancer cases. The experimental results verified the improved accuracy of the proposed registration method compared with conventional registration and Demons DIR.

Entities:  

Keywords:  Computed tomography; contour propagation; deformable image registration; structure delineation

Mesh:

Year:  2015        PMID: 26405859     DOI: 10.3233/BME-151399

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  2 in total

1.  Mesh-to-raster region-of-interest-based nonrigid registration of multimodal images.

Authors:  Rosalia Tatano; Benjamin Berkels; Thomas M Deserno
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-27

Review 2.  A review of automatic lung tumour segmentation in the era of 4DCT.

Authors:  Nadine Wong Yuzhen; Sarah Barrett
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-22
  2 in total

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