Literature DB >> 18723925

Image registration of a moving target phantom with helical tomotherapy: effect of the CT acquisition technique and action level proposal.

Curtis Woodford1, Slav Yartsev, Jake Van Dyk.   

Abstract

This study aims to quantify the effects of target motion and resultant motion artifacts in planning and megavoltage CT (MVCT) studies on the automatic registration processes of helical tomotherapy. Clinical and experimental data were used to derive an action level for patient repositioning on helical tomotherapy. Planning CT studies of a respiratory motion phantom were acquired using conventional and four-dimensional CT (4D CT) techniques. MVCT studies were acquired on helical tomotherapy in the presence and absence of target motion and were registered with different planning CT studies. The residual errors of the registration process were calculated from the registration values to quantify the ability of the process to detect 5 or 10 mm translations of the phantom in two directions. Twenty-seven registration combinations of MVCT inter-slice spacing, technique and resolution were investigated. The residual errors were used as an estimate of the localization error of the registration process, and the accuracy of couch repositioning was determined from couch position measurements during 866 treatment fractions. These two parameters were used to calculate the action level for patient repositioning on helical tomotherapy. Automatic registration of an MVCT study with 0% breathing phase, average intensity and maximum intensity 4D CT projections did not differ from that of an MVCT study with a conventional planning CT. Motion artifacts in the MVCT or planning CT studies changed the accuracy of the automatic registration process by less than 2.0%. The action level for patient repositioning using MVCT studies of 6 mm inter-slice spacing was determined to be 0.7, 1.1 and 0.6 mm in the x-, y- and z-directions, respectively. These action levels have the greatest effect on treatments for disease sites in the brain.

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Year:  2008        PMID: 18723925     DOI: 10.1088/0031-9155/53/18/016

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Assessing the intrinsic precision of 3D/3D rigid image registration results for patient setup in the absence of a ground truth.

Authors:  Jian Wu; Martin J Murphy
Journal:  Med Phys       Date:  2010-06       Impact factor: 4.071

2.  Comparisons of multiple automated anatomy-based image-guidance methods for patient setup before head/neck external beam radiotherapy.

Authors:  Nesrin Dogan; Shiyu Song; Habeeb Saleh; Jian Wu; Martin J Murphy
Journal:  J Appl Clin Med Phys       Date:  2010-10-13       Impact factor: 2.102

3.  Experimental and Preliminary Clinical Study of Real-Time Registration in Liver Tumors During Respiratory Motion Based on a Multimodality Image Navigation System.

Authors:  Chao Ren; Shi-Rong Liu; Wen-Bo Wu; Xiao-Ling Yu; Zhi-Gang Cheng; Fang-Yi Liu; Ping Liang
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

4.  Effects of megavoltage computed tomographic scan methodology on setup verification and adaptive dose calculation in helical TomoTherapy.

Authors:  Jian Zhu; Tong Bai; Jiabing Gu; Ziwen Sun; Yumei Wei; Baosheng Li; Yong Yin
Journal:  Radiat Oncol       Date:  2018-04-27       Impact factor: 3.481

  4 in total

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