An important goal in modern CT imaging is reducing the dose delivered to patients especially to risk-relevant organs. This work compares the clinically applied dose reduction techniques mAs-minimizing tube current modulation (mAsTCM) and a typical organ-specific TCM (osTCM, here: X-Care, Siemens Healthcare) with a novel radiation risk-minimizing tube current modulation (riskTCM) with a focus on the dose delivered to the female breast. The mAsTCM minimizes the mAs product as a surrogate parameter for the patient dose but does not consider the different organs’ risks. In contrast, osTCM aims to minimize the dose delivered to the female breast by reducing the tube current for anterior projections. The riskTCM minimizes the patient risk by minimizing the effective dose to the patient, which is done by taking accounting for the organ doses. In this study, the dose reduction effect of the TCM techniques is compared by simulations based on clinical CT Scans. Results: riskTCM reduces the effective dose by up to 35% in comparison to mAsTCM, and by up to 30% in comparison to osTCM depending on the anatomical region and the patient.
Successful image reconstruction in computed tomography (CT) relies on the completeness of the projections. If the patient does not fit in the field of measurement, the projections are truncated causing cupping artifacts in the image and a diminished field of view (FOV). In order to restore the CT values and extend the FOV, the projections have to be completed, for example via an extrapolation. The discrete algebraic reconstruction technique (DART) has shown its efficacy in reconstructing discrete images from insufficient raw data. In this work, we use DART images as a prior for projection completion of clinical CT scans. We compare our method to the conventional adaptive detruncation (ADT) and evaluate the RMSE inside and outside the FOV along with the Dice score.
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