Design of a User Interface for Radiography Training Simulator

Joon-koo Choi

Abstract


The radiography training simulator currently in development minimizes errors through mock training on radiology and improves the accuracy of the tests to minimize radiation exposure of the patients and improve the quality of diagnosis services. The objective of this study is to suggest a configuration method for a user interface in developing a radiography training simulator. To configure the operating program of a radiography training simulator in the same manner as an actual radiography equipment, features allow viewing of the worklist and entry of patient information in accordance with the manual. Body part and projection are selected, after which detector, distance, angle and grid are chosen to proceed with the imaging. The image is then printed. The printed image can be transmitted to the PACS server. In addition, a scenario editing feature and help window on the test method are configured so that the user can configured an image database himself. The developed user interface for radiography training simulator simulates an actual X-ray test, improving the effects of mock training and repetitive learning. Since not all variables that may occur during the image printing cannot be configured, the location data of the model device and camera were used to lead to correct testing methods and positions, thus minimizing errors. In follow-up studies, technological development using object recognition and 3D data will be applied to realize various situations that are close to real-life situations.

Keywords


radiography; training simulator; operator console; X-ray; user interface.

Full Text:

PDF

References


Shah, N, Baig L, Shah N, Hussain R, Aly SM, Simulation based medical education; teaching normal delivery on intermediate fidelity simulator to medical students. J Pak Med Assoc, 2017. 67(10): pp. 1476-1481.

Bott, O.J, Dresing K, Wagner M, Raab BW, Teistler M, Informatics in radiology: use of a C-arm fluoroscopy simulator to support training in intraoperative radiography. Radiographics, 2011. 31(3): pp. E65-75.

Riener R, Frey M, Proll T, Regenfelder F, Burgkart R. Phantom-based multimodal interactions for medical education and training: the Munich Knee Joint Simulator. IEEE transactions on information technology in biomedicine: a publication of the IEEE Engineering in Medicine and Biology Society. 2004 Jun; 8(2): pp. 208-216.

Serban A, Crisan-Vida M, Mada L, Stoicu-Tivadar L. User Interface Design in Medical Distributed Web Applications. Studies in health technology and informatics. 2016; 223: pp.223-229.

Szanto D, Szucs G. [Enhanced accuracy of the X-ray diagnosis of acute abdomen with patient in the supine (pregnancy standard) position]. Orvosi hetilap. 1995 Oct 22; 136(43): pp.2329-2332

Chung CA, Alfred M. Design, development, and evaluation of an interactive simulator for engineering ethics education (SEEE). Science and engineering ethics. 2009 Jun; 15(2): pp.189-199.

Fargen KM, Siddiqui AH, Veznedaroglu E, Turner RD, Ringer AJ, Mocco J. Simulator based angiography education in neurosurgery: results of a pilot educational program. Journal of neurointerventional surgery. 2012 Nov; 4(6): pp.438-441.

Hravnak M, Beach M, Tuite P. Simulator technology as a tool for education in cardiac care. The Journal of cardiovascular nursing. 2007 Jan-Feb; 22(1): pp.16-24.

Uramoto H, Chikaishi Y, Nagata Y, Shimokawa H, Tanaka F. [Student education with using training simulator for endoscopic surgery]. Kyobu geka The Japanese journal of thoracic surgery. 2014 Nov; 67(12): pp.1047-1050.

Lak M, Kim KH, Kwon MJ, Kwon SM, Ra JB, Park H. Fast surface and volume rendering based on shear-warp factorization for a surgical simulator. Computer aided surgery: official journal of the International Society for Computer Aided Surgery. 2002; 7(5): pp.268-278.

Kengyelics SM, Treadgold LA, Davies AG. X-ray system simulation software tools for radiology and radiography education. Computers in biology and medicine. 2017 Dec 13;93: pp.175-183.

Choi, J.K., K.B. Kim, and G.J. Kim, Image Selection Algorithm Proposal for Digital Radiography Training Simulator. Wireless Personal Communications, 2016, 89(3): pp. 833-845.




DOI: http://dx.doi.org/10.18517/ijaseit.9.4.7501

Refbacks

  • There are currently no refbacks.


Published by INSIGHT - Indonesian Society for Knowledge and Human Development