Radiation design in computed tomography via convex optimization

TL;DR

This paper presents a convex optimization framework for designing X-ray radiation in computed tomography, optimizing dose reduction while maintaining image quality by considering patient-specific factors.

Contribution

It introduces a novel convex optimization approach that integrates patient anatomy, tissue sensitivity, and ROI location for radiation dose optimization in CT.

Findings

Effective dose reduction demonstrated

Maintains image quality with optimized radiation

Framework adaptable to patient-specific data

Abstract

Proper X-ray radiation design (via dynamic fluence field modulation, FFM) allows to reduce effective radiation dose in computed tomography without compromising image quality. It takes into account patient anatomy, radiation sensitivity of different organs and tissues, and location of regions of interest. We account all these factors within a general convex optimization framework.