[The grasp of patient exposure in CR].
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Humans↗
Biomedical subjects
Yasuki Asada
Publications and source records attributed to Yasuki Asada.
[Dose estimation with CTDI100, air in computed tomography].
Although the principal dosimetric quantity in computed tomography (CT) can be assessed using a pencil ionization chamber with an active length of 100 mm, standard CT dosimetry phantoms of polymethylmethacrylate (PMMA) , and plates of aluminum, most facilities do not possess the requisites. We present a practical method of estimating CTDI(100, c), CTDI(100, p) and the half-value layer (HVL) from CTDI(100, air), which is measured parallel with the axis of rotation of the scanner to free-in-air. The three data chosen for this method of estimation were as follows: 1) the relation of HVL to CTDI(100, air) per radiographic exposure (mAs); 2) the relation of HVL to CTDI(100, c) per CTDI(100, air); 3) the relation of HVL to CTDI(100, p) per CTDI(100, air). The data were based on the measured values of six CT scanners, so as to avoid dependence on the technical characteristics of a specific manufacturer. The estimated value has a possible maximum uncertainty of 20%, although this method of estimation is practical for dose assessment.
Phantoms, Imaging↗
[Effect of breast composition on patient exposure in mammography].
Software for the estimation of patient exposure from mammography has been developed. Because it adopts average glandular dose, the estimation of patient exposure must take advantage of D(gN) (average glandular dose per unit entrance skin exposure). D(gN) depends on X-ray quality, compressed breast thickness, and breast composition. The software that was previously reported required information about breast composition. However, the new software that estimates breast composition uses a phantom with known breast composition to estimate average glandular dose and entrance surface dose. The authors were able to calculate average glandular dose that takes account of breast composition using this software. In addition, in a comparison with the mammogram in terms of the classification of mammary gland substance, the software showed high precision in terms of agreement. This software has sufficient utility because only the mammographic conditions are entered, and patient exposure can be easily estimated. Moreover, the half-value layer, incident exposure in air, D(gN), and breast composition can be specifically calculated.
Breast↗