Hybrid Iterative Reconstruction Algorithm Improves Image Quality and Helps to Decrease Radiation Dose in 256-Slides Craniocervical CTA

Since Computed Tomography (CT) became commercially available, the number of CT procedures has increased rapidly. As we are aware that with the development of CT it is widely used and we have huge concerns regarding the risk of malignancies induced by the application of medical ionizing radiation [1]. Although automatic tube current modulation has lead more balanced image quality [2], problem still persists, particularly in modern dose –optimized protocols. Several approaches have been taken to reduce CT radiation doses, the most important of which is appropriate use by the development of evidencebased recommendations on when the benefits of CT image acquisition outweigh the risks as well as costs. Different iterative reconstruction algorithm has been shown to improve image quality in various CT examinations [3-6]. The old method were low tube voltage, low tube current have been tested in several studies to decrease radiation dose but clinical implementation is limited because of increased noise and artifacts which can affect the accuracy of diagnosis [7-10]. Assessment of image quality can be done by subjective as well as objective parameters.