Abstract
In vivo dosimetry is very important for quality assurance purpose in high energy radiation treatment. Measurement of transmission dose is a new method of in vivo dosimetry which is noninvasive and easy for daily performance. This study is to develop a tumor dose estimation algorithm using measured transmission dose for open radiation field. For basic beam data, transmission dose was measured with various field size (FS) of square radiation field, phantom thickness (Tp), and phantom chamber distance (PCD) with a acrylic phantom for 6 MV and 10 MV X-ray. Source to chamber distance (SCD) was set to 150 cm. Measurement was conducted with a 0.6 cc Farmer type ion chamber. By using regression analysis of measured basic beam data, a transmission dose estimation algorithm was developed. Accuracy of the algorithm was tested with flat solid phantom with various thickness in various settings of rectangular fields and various PCD. In our developed algorithm, transmission dose was equated to quadratic function of log(A/P) (where A/P is area-perimeter ratio) and the coefficients of the quadratic functions were equated to tertiary functions of PCD. Our developed algorithm could estimate the radiation dose with the errors within ±0.5% for open square field, and with the
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Yun, Hyong Geun;
Shin, Kyo Chul;
[1]
Hun, Soon Nyung;
Woo, Hong Gyun;
Ha, Sung Whan;
[2]
Lee, Hyoung Koo
[3]
- College of Medicine, Dankook Univ., Seoul (Korea, Republic of)
- College of Medicine, Seoul National Univ., Seoul (Korea, Republic of)
- College of Medicine, Catholic Univ., Seoul (Korea, Republic of)
Citation Formats
Yun, Hyong Geun, Shin, Kyo Chul, Hun, Soon Nyung, Woo, Hong Gyun, Ha, Sung Whan, and Lee, Hyoung Koo.
Development of transmission dose estimation algorithm for in vivo dosimetry in high energy radiation treatment.
Japan: N. p.,
2004.
Web.
doi:10.1080/00223131.2004.10875661.
Yun, Hyong Geun, Shin, Kyo Chul, Hun, Soon Nyung, Woo, Hong Gyun, Ha, Sung Whan, & Lee, Hyoung Koo.
Development of transmission dose estimation algorithm for in vivo dosimetry in high energy radiation treatment.
Japan.
https://doi.org/10.1080/00223131.2004.10875661
Yun, Hyong Geun, Shin, Kyo Chul, Hun, Soon Nyung, Woo, Hong Gyun, Ha, Sung Whan, and Lee, Hyoung Koo.
2004.
"Development of transmission dose estimation algorithm for in vivo dosimetry in high energy radiation treatment."
Japan.
https://doi.org/10.1080/00223131.2004.10875661.
@misc{etde_20620326,
title = {Development of transmission dose estimation algorithm for in vivo dosimetry in high energy radiation treatment}
author = {Yun, Hyong Geun, Shin, Kyo Chul, Hun, Soon Nyung, Woo, Hong Gyun, Ha, Sung Whan, and Lee, Hyoung Koo}
abstractNote = {In vivo dosimetry is very important for quality assurance purpose in high energy radiation treatment. Measurement of transmission dose is a new method of in vivo dosimetry which is noninvasive and easy for daily performance. This study is to develop a tumor dose estimation algorithm using measured transmission dose for open radiation field. For basic beam data, transmission dose was measured with various field size (FS) of square radiation field, phantom thickness (Tp), and phantom chamber distance (PCD) with a acrylic phantom for 6 MV and 10 MV X-ray. Source to chamber distance (SCD) was set to 150 cm. Measurement was conducted with a 0.6 cc Farmer type ion chamber. By using regression analysis of measured basic beam data, a transmission dose estimation algorithm was developed. Accuracy of the algorithm was tested with flat solid phantom with various thickness in various settings of rectangular fields and various PCD. In our developed algorithm, transmission dose was equated to quadratic function of log(A/P) (where A/P is area-perimeter ratio) and the coefficients of the quadratic functions were equated to tertiary functions of PCD. Our developed algorithm could estimate the radiation dose with the errors within ±0.5% for open square field, and with the errors within ±1.0% for open elongated radiation field. Developed algorithm could accurately estimate the transmission dose in open radiation fields with various treatment settings of high energy radiation treatment. (author)}
doi = {10.1080/00223131.2004.10875661}
issue = {sup4}
volume = {41}
place = {Japan}
year = {2004}
month = {Mar}
}
title = {Development of transmission dose estimation algorithm for in vivo dosimetry in high energy radiation treatment}
author = {Yun, Hyong Geun, Shin, Kyo Chul, Hun, Soon Nyung, Woo, Hong Gyun, Ha, Sung Whan, and Lee, Hyoung Koo}
abstractNote = {In vivo dosimetry is very important for quality assurance purpose in high energy radiation treatment. Measurement of transmission dose is a new method of in vivo dosimetry which is noninvasive and easy for daily performance. This study is to develop a tumor dose estimation algorithm using measured transmission dose for open radiation field. For basic beam data, transmission dose was measured with various field size (FS) of square radiation field, phantom thickness (Tp), and phantom chamber distance (PCD) with a acrylic phantom for 6 MV and 10 MV X-ray. Source to chamber distance (SCD) was set to 150 cm. Measurement was conducted with a 0.6 cc Farmer type ion chamber. By using regression analysis of measured basic beam data, a transmission dose estimation algorithm was developed. Accuracy of the algorithm was tested with flat solid phantom with various thickness in various settings of rectangular fields and various PCD. In our developed algorithm, transmission dose was equated to quadratic function of log(A/P) (where A/P is area-perimeter ratio) and the coefficients of the quadratic functions were equated to tertiary functions of PCD. Our developed algorithm could estimate the radiation dose with the errors within ±0.5% for open square field, and with the errors within ±1.0% for open elongated radiation field. Developed algorithm could accurately estimate the transmission dose in open radiation fields with various treatment settings of high energy radiation treatment. (author)}
doi = {10.1080/00223131.2004.10875661}
issue = {sup4}
volume = {41}
place = {Japan}
year = {2004}
month = {Mar}
}