Title :
Real-Time Simulation of Radiological Images Using CUDA Technology
Author :
Gianaria, Elena ; Gallio, Elena
Author_Institution :
Dipt. di Inf., Univ. degli Studi di Torino, Turin, Italy
Abstract :
Radiography is nowadays a common medical exam, used for diagnosing several diseases, but has the disadvantage of exposing people to a dose of radiation. For this reason, it is important to study methods for reducing such dose. In this paper we present a digital X-ray simulation tool that simulates a radiological exam on a virtual patient. The software builds a physically-realistic radiography in real-time thanks to GPGPU programming and CUDA technology. It aims to be used in radiological departments, for testing new dose reduction procedures and training health operators. We validated the software comparing the results with real radiographic images, and we tested it on different graphic cards obtaining running times that are 35 to 250 times faster than the corresponding CPU implementation.
Keywords :
computer based training; diagnostic radiography; digital simulation; diseases; graphics processing units; medical image processing; parallel architectures; CUDA technology; GPGPU programming; digital X-ray simulation tool; disease diagnosis; dose reduction procedures; graphics processing unit; health operator training; medical exam; physically-realistic radiography; radiological departments; radiological exam simulation; real-time radiological image simulation; virtual patient; Detectors; Graphics processing units; Noise; Phantoms; Radiography; X-ray imaging; CUDA; Graphics Processor Unit; Medical Imaging; Simulating X-ray images;
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
Conference_Location :
Turku
DOI :
10.1109/PDP.2015.55
