The use of the ferrous sulphate dosimeter for intercomparison of absorbed dose from electron beams

1984 ◽  
Vol 11 (3) ◽  
pp. 335-337 ◽  
Author(s):  
W. L. Chen ◽  
S. C. Chang
Keyword(s):  
Electron Beams ◽  
Ferrous Sulphate ◽  
Absorbed Dose

New dosimetric approach for multidimensional dose evaluation in gamma knife radiosurgery

2000 ◽  
Vol 93 (supplement_3) ◽  
pp. 239-242 ◽  
Author(s):  
R. Foroni ◽  
G. Gambraini ◽  
U. Danesi ◽  
M. Mauri ◽  
E. Pompilio ◽  
...  
Keyword(s):  
Gamma Knife ◽  
Metal Ion ◽  
Light Transmission ◽  
Xylenol Orange ◽  
Ferrous Sulphate ◽  
Gamma Knife Radiosurgery ◽  
Absorbed Dose ◽  
Content Type ◽  
3D Representation ◽  
Fine Print

✓ During the past two decades, the progress in computerized treatment planning systems has led to more accurate imaging and therapy by using the gamma knife, especially with the smallest collimators (4 mm). However, the ionization chambers that have been used to calibrate the gamma knife are not useful with the smallest collimators because the chambers are too big compared with the irradiated volume. Therefore, it is important to develop more suitable dosimeters. This study proposes a new dosimeter method. The FriXyGel method proposed here is based on a phantom dosimeter, an acquisition chain, and dedicated software. This dosimeter uses an agarose gel into which a ferrous sulphate solution (Fricke solution) and a metal ion indicator (xylenol orange) are incorporated. The absorbed dose is detected through measurements of visible light transmission, imaged by means of a charge-coupled device camera provided with a suitable optical filter. Gel layers are imaged before and after irradiation, and the differences in light absorption are related to the absorbed dose. By choosing convenient thickness of gel layers and by building up a phantom with different gel slices, it is possible to obtain a three-dimensional (3D) representation of the absorbed dose. The final 3D representation is reached after several mathematical processes have been applied to the images. The first step identifies and reduces all factors that could alter the original data, such as nonuniformity in illumination. Then, after calibration procedures, it is possible to obtain absorbed dose values and to discover their 3D representation. This goal has been reached by developing appropriate software that performs all the calculations necessary for spatial representation routines and prompt comparison with theoretical calculations.

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