Gul Moonis: An Overview of Adaptive Statistical Iterative Reconstruction (ASIR)
An accomplished radiologist with many years of experience in the field, Gul Moonis, MD, currently serves as an Attending Staff Radiologist at the Beth Israel Deaconess Medical Center in Boston, Massachusetts, and as an Assistant Professor of Radiology at Harvard Medical School. Dr. Gul Moonis possesses a wealth of experience with a variety of CT scanning techniques, including adaptive statistical iterative reconstruction (ASIR).
In general, neck CT scans are used to identify sources of pain and discomfort and diagnose disorders of the neck structures. ASIR refers to an CT scan technique that reduces the total dose of radiation at comparable image quality when compared with more conventional techniques. Although ASIR has not yet become a mainstream practice in most hospitals, initial studies in the head and temporal bone have shown promising results and have prompted researchers to continue studying the technique.