Loading...
Please wait, while we are loading the content...
Similar Documents
A track repeating algorithm for intensity modulated carbon ion therapy
| Content Provider | Scilit |
|---|---|
| Author | Wang, Qianxia Adair, Antony H. Deng, Yu Chen, Hongliang Moyers, Michael Lin, James Yepes, Pablo P. |
| Copyright Year | 2019 |
| Description | Journal: Physics in Medicine & Biology The Fast Dose Calculator (FDC), a track repeating Monte Carlo algorithm was initially developed for proton therapy. The validation for proton therapy has been demonstrated in a previous work. In this work we present the extension of FDC to the calculation of dose distributions for ions, particularly for carbon. Moreover the code algorithm is validated versus full Monte Carlo, by comparing 3D dose distributions and Dose Volume Histograms (DVH) calculated by FDC with GEANT 4. A total of 19 patients were employed, including 3 patients of prostate, 5 of brain, 3 of head and neck, 4 of lung and 4 of spine. We used a gamma-index technique to analyze dose distributions and we performed a dosimetric analysis for DVHs, a more direct and informative quantity for planning system assessment. The gamma-index passing rates of all patients discussed in this paper are above 90% with the criterion 1%/1 mm, above 98% with the criterion 2%/2 mm and over 99.9% with the criterion 3%/3 mm. The Root Mean Square (RMS) of percent difference of dosimetric indices D02, D05, D50, D95 and D98 are 0.75%, 0.70%, 0.79%, 0.83% and 0.76%. All the differences are within clinically accepted norms. |
| Related Links | https://iopscience.iop.org/article/10.1088/1361-6560/ab10d0/pdf |
| ISSN | 00319155 |
| e-ISSN | 13616560 |
| DOI | 10.1088/1361-6560/ab10d0 |
| Journal | Physics in Medicine & Biology |
| Issue Number | 9 |
| Volume Number | 64 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-03-18 |
| Access Restriction | Open |
| Subject Keyword | Journal: Physics in Medicine & Biology Radiology, Nuclear Medicine and Imaging |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Radiological and Ultrasound Technology |
