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Session: Best Poster Competition [Return to Session]

Dose Reduction of Multiple Myeloma Protocol in Dual-Energy Computed Tomography Using Image-Based Noise Addition Software

N Alsaihati*, J Solomon, E Mccrum, E Samei, Duke University, Durham, NC

Presentations

(Saturday, 3/26/2022)   [Central Time (GMT-5)]

Purpose: To minimize patient radiation dose in multiple myeloma CT protocol while maintaining adequate image quality to detect bone disease.

Methods: A total of 23 patients who underwent multiple myeloma scanning in dual-energy CT were retrospectively analyzed. The volume CT dose index (CTDIvol) was recorded, and the global noise index and water equivalent diameter were calculated using an established technique for image quality assessment. A validated image-based noise addition software was used to simulate the 23 cases at three lower doses: 50%, 25%, and 10% of the original dose. An expert radiologist in musculoskeletal imaging assessed the simulated images for image quality and lesion detectability at the different lower doses to determine the lowest possible dose.

Results: The mean CTDIvol, global noise index and median water equivalent diameter of the current protocol were 11.61 ± 3.26 mGy, 26.70 ± 5.07, and 287.30 ± 26.79 cm respectively. The simulated low dose images indicate dose reduction up to 50% of the current dose without loss of diagnostic information.

Conclusion: The simulated low dose images show that it is feasible to reduce patient radiation dose while maintaining excellent diagnostic performance.

Keywords

Dual-energy Imaging, Simulation, Optimization

Taxonomy

IM- CT: Image Simulation

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