title: Methodology for Registration of Shrinkage Tumors in Head-and-Neck CT Studies.
abstract: Tumor shrinkage occurs in many patients undergoing radiotherapy for head-and-neck (H&N) cancer. However, one-to-one correspondence is not always available between voxels of two image sets. This makes intensity-based deformable registration difficult and inaccurate. In this paper, we describe a novel method to increase the performance of the registration in presence of tumor shrinkage. The method combines an image modification procedure and a fast symmetric Demons algorithm to register CT images acquired at planning and posttreatment fractions. The image modification procedure modifies the image intensities of the primary tumor by calculating tumor cell survival rate using the linear quadratic (LQ) model according to the dose delivered to the tumor. A scale operation is used to deal with uncertainties in biological parameters. The method was tested in 10 patients with nasopharyngeal cancer (NPC). Registration accuracy was improved compared with that achieved using the symmetric Demons algorithm. The average Dice similarity coefficient (DSC) increased by 21%. This novel method is suitable for H&N adaptive radiation therapy.
authors.affiliation: Department of Radiation Oncology, Ningbo Treatment Center, Ningbo Lihuili Hospital, Ningbo, Zhejiang 315000, China.
authors.forename: Jianhua
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Radiation Oncology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
authors.forename: Jianrong
authors.initials: J
authors.lastname: Dai
authors.affiliation: Key Laboratory of Particle and Radiation Imaging of Chinese Ministry of Education, Department of Engineering Physics, Tsinghua University, Beijing 100084, China.
authors.forename: Yongjie
authors.initials: Y
authors.lastname: Jing
authors.affiliation: The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China.
authors.forename: Yanan
authors.initials: Y
authors.lastname: Huo
authors.affiliation: Sir Run Run Shaw Hospital, Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China.
authors.forename: Tianye
authors.initials: T
authors.lastname: Niu
mesh_terms: D002470:Cell Survival / Q000528:radiation effects; D019295:Computational Biology; D006258:Head and Neck Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000532:radiotherapy*; D006801:Humans; D009303:Nasopharyngeal Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology / Q000532:radiotherapy; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D011880:Radiotherapy Planning, Computer-Assisted; D050397:Radiotherapy, Intensity-Modulated; D014057:Tomography, X-Ray Computed