Literature DB >> 11190966

Evaluation of a model-based treatment planning system for dose computations in the kilovoltage energy range.

P Alaei1, B J Gerbi, R A Geise.   

Abstract

The ability to determine dose distribution and calculate organ doses from diagnostic x rays has become increasingly important in recent years because of relatively high doses in interventional radiology and cardiology procedures. In an attempt to determine the dose from both diagnostic and orthovoltage x rays, we have used a commercial treatment planning system (Pinnacle, ADAC Laboratories, Milpitas, CA) to calculate the doses in phantoms from kilovoltage x rays. The planning system's capabilities for dose computation have been extended to lower energies by the addition of energy deposition kernels in the 20-110 keV range and modeling of the 60, 80, 100, and 120 kVp beams using the system. We compared the dose calculated by the system with that measured using thermoluminescent dosimeters (TLDs) placed in various positions within several phantoms. The phantoms consisted of a cubical solid water phantom, the solid water phantom with added lung and bone inhomogeneities, and the Rando anthropomorphic phantom. Using Pinnacle, a treatment plan was generated using CT scans of each of these phantoms and point doses at the positions of TLD chips were calculated. Comparisons of measured and computed values show an average difference of less than 2% within materials of atomic number less than and equal to that of water. The algorithm, however, does not produce accurate results in and around bone inhomogeneities and underestimates attenuation of x rays by bone by an average of 145%. A modification to the CT number-to-density conversion table used by the system resulted in significant improvements in the dose calculated to points beyond bone.

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Year:  2000        PMID: 11190966     DOI: 10.1118/1.1323982

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

1.  Improving dose calculation accuracy in preclinical radiation experiments using multi-energy element resolved cone-beam CT.

Authors:  Yanqi Huang; Xiaoyu Hu; Yuncheng Zhong; Youfang Lai; Chenyang Shen; Xun Jia
Journal:  Phys Med Biol       Date:  2021-12-06       Impact factor: 3.609

2.  Small animal photon counting cone-beam CT on a preclinical radiation research platform to improve radiation dose calculation accuracy.

Authors:  Xiaoyu Hu; Yuncheng Zhong; Youfang Lai; Chenyang Shen; Kai Yang; Xun Jia
Journal:  Phys Med Biol       Date:  2022-09-26       Impact factor: 4.174

3.  Commissioning kilovoltage cone-beam CT beams in a radiation therapy treatment planning system.

Authors:  Parham Alaei; Emiliano Spezi
Journal:  J Appl Clin Med Phys       Date:  2012-11-08       Impact factor: 2.102

4.  Implementation of full/half bowtie filter models in a commercial treatment planning system for kilovoltage cone-beam CT dose estimations.

Authors:  Sangroh Kim; Parham Alaei
Journal:  J Appl Clin Med Phys       Date:  2016-03-08       Impact factor: 2.102

5.  Evaluation of IGRT-Induced Imaging Doses and Secondary Cancer Risk for SBRT Early Lung Cancer Patients In Silico Study.

Authors:  Yan-Hua Duan; Heng-Le Gu; Xiao-Hui Yang; Hua Chen; Hao Wang; Yan Shao; Xiao-Yang Li; Ai-Hui Feng; Yan-Chen Ying; Xiao-Long Fu; Kui Ma; Tao Zhou; Zhi-Yong Xu
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
  5 in total

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