Taguchi's experimental design method on improvement of medical image quality.
OBJECTIVE
The aim of this article is to show how Taguchi methods can be applied to health care to improve the quality of medical images. Quality is often integrated with the performance and parameters of the design of medical applications. Many imaging methods can be designed by setting the correct combination of parameters and estimating the contribution of individual quality influencing factors by means of incorporating parameter design and orthogonal arrays. The performance of any imaging equipment can be measured by signal-to-noise ratio. This inherent index can give a sense of how close the performance is to the ideal.


METHODS
Data were collected from a database of 82 diagnostic thoracic computed tomography (CT) scans. Signal-to-noise ratios (S/N) were calculated.


RESULTS
Given the S/N's, the best CT level was found to be level 4.


CONCLUSIONS
To reduce bias resulting from the observer's readings, robust equipments should be designed incorporating Taguchi's experimental design. Further work is needed to establish imaging protocols and new hardware design.
Taner
Mehmet Tolga
MT
Department of Management, Gebze Institute of Technology, Kocaeli, Turkey. mtaner@gyte.edu.tr
Sezen
Bulent
B
D019992:Databases as Topic; D003952:Diagnostic Imaging / Q000592:standards*; D006801:Humans; D011785:Quality Assurance, Health Care / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000592:standards*