1. George, J., et al., Patient Dose Optimization in Plain Radiography Based on Standard Exposure Factors. British Journal of Radiology, 2004. 77(922): p. 858-863.

2. Ng, C.K.C. and Z. Sun, Development of an Online Automatic Computed Radiography Dose Data Mining Program: A Preliminary Study. Computer Methods and Programs in Biomedicine, 2010. 97(1): p. 48-52.

3. Tamm, E.P., et al., Quality Initiatives: CT Radiation Dose Reduction: How to Implement Change without Sacrificing Diagnostic Quality. Radiographics, 2011. 31(7): p. 1823-1832.

4. Santos, M., et al., Clinical Data Mining in Small Hospital PACS: Contributions for Radiology Department Improvement, in Information Systems and Technologies for Enhancing Health and Social Care, 2013, IGI Global. p. 236-251.

5.  Hu, M., et al., Informatics in Radiology: Efficiency Metrics for Imaging Device Productivity. Radiographics, 2011. 31(2): p. 603-616.

6. Ondategui-Parra, S., et al., Use of Productivity and Financial Indicators for Monitoring Performance in Academic Radiology Departments: U.S. Nationwide Survey. Radiology, 2005. 236(1): p. 214-219.

7.  Ondategui-Parra, S., S.M. Erturk, and P.R. Ros, Survey of the Use of Quality Indicators in Academic Radiology Departments. American Journal of Roentgenology, 2006. 187(5): p. W451-W455.

8.  Costa, C., et al., Dicoogle - an Open Source Peer-to-Peer PACS. Journal of Digital Imaging, 2010: p. 1-9.

9.  Costa, C., et al., Indexing and Retrieving DICOM Data in Disperse and Unstructured Archives. International Journal of Computer Assisted Radiology and Surgery, 2009. 4(1): p. 71-77.

10. Fauber, T.L., Radiographic Imaging & Exposure. Fourth Edition ed2013, St. Louis: Elsevier Mosby.

11. Seibert, J.A., Computed Radiography Technology, 2004.

12. Christi Carter, B.V., Digital Radiography and PACS, 2010: Mosby Elsevier.