D. Coman, H. K. Trubel, P. Herman, and F. Hyder Department of Diagnostic Radiology, Yale University, New Haven, CT, United States, Quantitative Neuroscience with Magnetic Resonance (QNMR), Yale University, New Haven, CT, United States, Bayer HealthCare Research Center, Wuppertal, Germany, Department of Pediatrics, HELIOS-Klinikum Wuppertal, University Witten/Herdecke, Wuppertal, Germany, Semmel...

1Department of Radiology and Diagnostic Imaging, Postgraduate Medical Centre and Central Clinical Hospital of Ministry of Internal Affairs and Administration, Warsaw, Poland; 2Radioisotope Centre POLATOM, Otwock-Swierk, Poland; 3Department of Nuclear Medicine, Royal Free Hospital, London, United Kingdom; 4Department of Pathology, Central Clinical Hospital of Ministry of Internal Affairs and Adm...

T. Svärd, M. Lakovaara, H. Pakarinen, I. Kiviranta, E. Lammentausta, J. Jurvelin, O. Tervonen, R. Ojala, and M. T. Nieminen Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland, Department of Orthopaedic Surgery, Oulu University Hospital, Oulu, Finland, Department of Orthopaedics and Traumatology, Helsinki University Hospital, Department of Physics, University of Eastern ...

Received October 31, 2007, from the Departments of Diagnostic Radiology (D.J.K., E.J.S., E.-K.K., J.Y.K., K.K.O.), Diagnostic Pathology (S.W.H.), and General Surgery (J.J.), Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea. Revision requested November 13, 2007. Revised manuscript accepted for publication November 20, 2007. Address correspondence to...

Introduction: Most of people are exposed to ionizing radiation sources during their lifetime including background, cosmic or man-made beams like radiation used in nuclear medicine and radiology. Due to unavoidable use of ionizing radiation in diagnosis and treatment of diseases, designing and correct implementation of radiation protection principles in order to reducing its har...

Introduction Application of quality control (QC) programs at diagnostic radiology departments is of great significance for optimization of image quality and reduction of patient dose. The main objective of this study was to perform QC tests on stationary radiographic X-ray machines, installed in 14 hospitals of Kerman province, Iran. Materials and Methods In this cross-sectional study, QC tests...

Machine learning (ML) and deep (DL) technologies introduced in the fields of medical physics, radiology, oncology have made great strides past few years. A good many applications proven to be an efficacious automated diagnosis radiotherapy system. This paper outlines DL's general concepts principles, key computational methods, resources, as well implementation models diagnostic radiology radiat...

From the Section of Interventional Oncology, Department of Radiology (S.C.R.), University of California San Diego Medical Center, San Diego, California; Department of Diagnostic Imaging (D.E.D.), Brown Medical School, Rhode Island Hospital, Providence, Rhode Island; Gastrointestinal/Genitourinary Division, Department of Radiology (D.A.G.), Massachusetts General Hospital, Boston, Massachusetts; ...