A Treatment Plan Dose Interpolation Algorithm Based on Gradient Feature in Intensity-modulated Radiation Therapy_Journal of Biomedical Engineering

Authors：

ZHAILei ,  HUANGNing , WANGPeng , FANYixiang , XIAXiang , WUQingxing

Key Laboratory of Radiation Physics and Technology of Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610065, China;

Corresponding author：

HUANGNing, Email: huang_ning@scu.edu.cn

Keywords：

intensity-modulated radiation therapy; gradient edge; gradient profile; sharpness; interpolation

DOI：

10.7507/1001-5515.20160178

Video：

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Abstract Full text Figures/Tables Video References Cited by

The dose data produced by treatment plan system (TPS) in intensity-modulated radiation therapy (IMRT) has many gradient edge points. Considering this feature we proposed a new interpolation algorithm called treatment plan dose interpolation algorithm based on gradient feature in intensity-modulated radiation therapy (TDAGI), which improves the Canny algorithm to detect the gradient edge points and non-edge points by using the gradient information in the dose data plane. For each gradient edge point, the corresponding gradient profile was traced and the profile's sharpness was calculated, and for each non-edge point, the dispersion was calculated. With the sharpness or dispersion, the kernel coefficients of bi-cubic interpolation can be obtained and can be used as the central point to complete the bi-cubic interpolation calculation. Compared with bi-cubic interpolation and bilinear interpolation, the TDAGI algorithm is more accurate. Furthermore, the TDAGI algorithm has the advantage of gradient keeping. Therefore, TDAGI can be used as an alternative method in the dose interpolation of TPS in IMRT.

Citation： ZHAILei, HUANGNing, WANGPeng, FANYixiang, XIAXiang, WUQingxing. A Treatment Plan Dose Interpolation Algorithm Based on Gradient Feature in Intensity-modulated Radiation Therapy. Journal of Biomedical Engineering, 2016, 33(6): 1116-1123. doi: 10.7507/1001-5515.20160178 Copy

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1. BOYER A L, BUTLER E B, DIPETRILLO T A, et al. Intensity-modulated radiotherapy: Current status and issues of interest[J]. Int J Radiat Oncol Biol Phys, 2001, 51(4): 880-914.
2. LOPEZ P O, COSSET J M, DUN S P, et al. Preventing accidental exposures from new external beam radiation therapy technologies[J]. Ann ICRP, 2009, 39(4): 1-86.
3. LOW D A. Quality assurance of intensity-modulated radiotherapy[J]. Semin Radiat Oncol, 2002, 12(3): 219-228.
4. HUANG J Y, PULLIAM K B, MCKENZIE E M, et al. Effects of spatial resolution and noise on gamma analysis for IMRT QA[J]. J Appl Clin Med Phys, 2014, 15(4): 93-104.
5. 祁英, 陈东基,孟万斌,等.调强放疗中剂量验证方法的探究[J].中国肿瘤,2013,22(8):680-684.
6. WUU C S, XU Y. Three-dimensional dose verification for intensity modulated radiation therapy using optical CT based polymer gel dosimetry[J]. Med Phys, 2006, 33(5): 1412-1419.
7. NASONOV A V, KRYLOV A S. Finding areas of typical artifacts of image enhancement methods[J]. Pattern Recognition and Image Analysis, 2011, 21(2): 316-317.
8. HSIA S C, CHEN M H, TSAI P S. VLSI implementation of low-power high-quality color interpolation processor for CCD camera[J]. IEEE Transactions on VLSI Systems, 2006, 14(4): 361-369.
9. 郭海霞, 郭海龙,解凯.基于边缘信息改进的双线性插值算法[J].计算机工程与应用,2011,47(31):171-174.
10. CANNY J. A computational approach to edge detection[J]. IEEE Trans Pattern Anal Mach Intell, 1986, PAMI-8(6): 679-698.
11. YANG Q, KANG W. General research on image segmentation algorithms[J]. International Journal of Image, Graphics and Signal Processing, 2009, 1(1): 1-8.
12. XU Yanling, YU Huanwei, ZHONG Jiyong, et al. Real-time image capturing and processing of seam and pool during robotic welding process[J]. Industrial Robot: An International Journal, 2012, 39(5): 513-523.
13. SUN Jian, SUN Jian, XU Zongben, et al. Gradient profile prior and its applications in image super-resolution and enhancement[J]. IEEE Trans Image Process, 2011, 20(6): 1529-1542.
14. ABRAMOWITZ M, STEGUN I A. Handbook of mathematical functions [M]. 9th ed. Washington: National Bureau of Standards, 1972: 882-883.
15. 贾永红. 数字图像处理[M].武汉:武汉大学出版社,2003:108-110.
16. SONKA M, HLAVAC V, BOYLE R. Image processing, analysis, and machine vision, international student edition[M]. 3rd ed. Toronto: Thomson Learning, 2007: 122-123.
17. KEYS R G. Cubic convolution interpolation for digital image processing[J]. IEEE Trans Acoust, 1981, 29(6): 1153-1160.
18. BELEC J, PLOQUIN N, LA RUSSA D J, et al. Position-probability-sampled Monte Carlo calculation of VMAT, 3DCRT, step-shoot IMRT, and helical tomotherapy dose distributions using BEAMnrc/DOSXYZnrc[J]. Med Phys, 2011, 38(2): 948-960.

Journal of Biomedical Engineering

A Treatment Plan Dose Interpolation Algorithm Based on Gradient Feature in Intensity-modulated Radiation Therapy

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