Literature DB >> 18178288

Dose mapping: validation in 4D dosimetry with measurements and application in radiotherapy follow-up evaluation.

Geoffrey G Zhang1, Tzung-Chi Huang, Ken M Forster, Kang-Ping Lin, Craig Stevens, Eleanor Harris, Thomas Guerrero.   

Abstract

The purpose of this paper is to validate a dose mapping program using optical flow method (OFM), and to demonstrate application of the program in radiotherapy follow-up evaluation. For the purpose of validation, the deformation matrices between four-dimensional (4D) CT data of different simulated respiration phases of a phantom were calculated using OFM. The matrices were then used to map doses of all phases to a single-phase image, and summed in equal time weighting. The calculated dose should closely represent the dose delivered to the moving phantom if the deformation matrices are accurately calculated. The measured point doses agreed with the OFM calculations better than 2% at isocenters, and dose distributions better than 1mm for the 50% isodose line. To demonstrate proof-of-concept for the use of deformable image registration in dose mapping for treatment evaluation, the treatment-planning CT was registered with the post-treatment CT image from the positron emission tomography (PET)/CT resulting in a deformation matrix. The dose distribution from the treatment plan was then mapped onto the restaging PET/CT using the deformation matrix. Two cases in which patients had thoracic malignancies are presented. Each patient had CT-based treatment planning for radiotherapy and restaging fluorodeoxy glucose (FDG)-PET/CT imaging 4-6 weeks after completion of treatments. Areas of pneumonitis and recurrence were identified radiographically on both PET and CT restaging images. Local dose and standard uptake values for pneumonitis and recurrence were studied as a demonstration of this method. By comparing the deformable mapped dose to measurement, the treatment evaluation method which is introduced in this manuscript proved to be accurate. It thus provides a more accurate analysis than other rigid or linear dose-image registration when used in studying treatment outcome versus dose.

Entities:  

Mesh:

Year:  2008        PMID: 18178288     DOI: 10.1016/j.cmpb.2007.11.015

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  9 in total

1.  A method to estimate the effect of deformable image registration uncertainties on daily dose mapping.

Authors:  Martin J Murphy; Francisco J Salguero; Jeffrey V Siebers; David Staub; Constantin Vaman
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  Four-dimensional dosimetry validation and study in lung radiotherapy using deformable image registration and Monte Carlo techniques.

Authors:  Tzung-Chi Huang; Ji-An Liang; Thomas Dilling; Tung-Hsin Wu; Geoffrey Zhang
Journal:  Radiat Oncol       Date:  2010-05-29       Impact factor: 3.481

3.  Effect of deformable registration on the dose calculated in radiation therapy planning CT scans of lung cancer patients.

Authors:  Alexandra R Cunliffe; Clay Contee; Samuel G Armato; Bradley White; Julia Justusson; Renuka Malik; Hania A Al-Hallaq
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

4.  Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation.

Authors:  Yi Rong; Mihaela Rosu-Bubulac; Stanley H Benedict; Yunfeng Cui; Russell Ruo; Tanner Connell; Rojano Kashani; Kujtim Latifi; Quan Chen; Huaizhi Geng; Jason Sohn; Ying Xiao
Journal:  Pract Radiat Oncol       Date:  2021-03-02

5.  Normalization of ventilation data from 4D-CT to facilitate comparison between datasets acquired at different times.

Authors:  Kujtim Latifi; Vladimir Feygelman; Eduardo G Moros; Thomas J Dilling; Craig W Stevens; Geoffrey G Zhang
Journal:  PLoS One       Date:  2013-12-17       Impact factor: 3.240

6.  Dependence of ventilation image derived from 4D CT on deformable image registration and ventilation algorithms.

Authors:  Kujtim Latifi; Kenneth M Forster; Sarah E Hoffe; Thomas J Dilling; Wouter van Elmpt; Andre Dekker; Geoffrey G Zhang
Journal:  J Appl Clin Med Phys       Date:  2013-07-08       Impact factor: 2.102

7.  Challenges and opportunities in patient-specific, motion-managed and PET/CT-guided radiation therapy of lung cancer: review and perspective.

Authors:  Stephen R Bowen; Matthew J Nyflot; Michael Gensheimer; Kristi R G Hendrickson; Paul E Kinahan; George A Sandison; Shilpen A Patel
Journal:  Clin Transl Med       Date:  2012-08-31

8.  Evaluation of dosimetric misrepresentations from 3D conventional planning of liver SBRT using 4D deformable dose integration.

Authors:  Unjin A Yeo; Michael L Taylor; Jeremy R Supple; Shankar Siva; Tomas Kron; Daniel Pham; Rick D Franich
Journal:  J Appl Clin Med Phys       Date:  2014-11-08       Impact factor: 2.102

9.  Validation of three deformable image registration algorithms for the thorax.

Authors:  Kujtim Latifi; Geoffrey Zhang; Marnix Stawicki; Wouter van Elmpt; Andre Dekker; Kenneth Forster
Journal:  J Appl Clin Med Phys       Date:  2013-01-07       Impact factor: 2.102

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.