X-Ray Absorption Reduction by Second Order Cone Programming in Computerized Tomography Imaging

Aydin Bicer and Zafer Unver


Computerized tomography imaging, Radiation absorption, Compressive sensing


Notwithstanding the worldwide agreement that computerized tomography (CT) is amazingly beneficial for patients if used for suitable symptoms, worries have been raised concerning the possible risk of cancer resulting from CT because of the dramatic increase of CT usage in medicine. Keeping the radiation dose as low as reasonably achievable is crucial to reduce this probable risk. This article is dedicated to lessen X-ray radiation exposure to patients and/or CT operators via a new imaging modality that exploits the very recent “compressed sensing” (CS) theory. We present a fast memory-efficient algorithm based on the CS theory to reduce the radiation dose without sacrificing the CT image quality.

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