ABSTRACT
This chapter reviews Conebeam CT (CBCT) equipment and imaging schemes for medical application. Patient positioning and error correction are more reliable in the image-guided radiation therapy (IGRT) session using CBCT. The chapter focuses on the hardware structure, relevant reconstruction algorithms, and the related improvement methods in image quality. It then briefs out three major models. In the first model, the x-ray is considered to be a "fat" line passing through the object image. In the second model, the width of the x-ray beam is disregarded. The third model is a simplified version of the second one. Many methods used for CT imaging are based on a CS technique such as accelerated barrier optimization CS (ABOCS), alternating direction total variation minimization (ADTVM), adaptive steepest descent projection onto convex sets (ASD-POCS), and prior image constrained CS (PICCS). The chapter mainly depicts an advanced iterative reconstruction method with an optimization framework of Accelerated barrier optimization compressed sensing (ABOCS).
