Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography
10.3348/kjr.2018.19.1.147
- Author:
Kum Ju CHAE
1
;
Jin Mo GOO
;
Su Yeon AHN
;
Jin Young YOO
;
Soon Ho YOON
Author Information
1. Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea. jmgoo@plaza.snu.ac.kr
- Publication Type:Original Article
- Keywords:
Preference test;
Image quality;
Digital chest radiography;
Modulation transfer function;
Deconvolution algorithm;
Point spread function
- MeSH:
Lung;
Prospective Studies;
Radiography;
Radiography, Thoracic;
Spine;
Thorax
- From:Korean Journal of Radiology
2018;19(1):147-152
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: To evaluate the preference of observers for image quality of chest radiography using the deconvolution algorithm of point spread function (PSF) (TRUVIEW ART algorithm, DRTECH Corp.) compared with that of original chest radiography for visualization of anatomic regions of the chest. MATERIALS AND METHODS: Prospectively enrolled 50 pairs of posteroanterior chest radiographs collected with standard protocol and with additional TRUVIEW ART algorithm were compared by four chest radiologists. This algorithm corrects scattered signals generated by a scintillator. Readers independently evaluated the visibility of 10 anatomical regions and overall image quality with a 5-point scale of preference. The significance of the differences in reader's preference was tested with a Wilcoxon's signed rank test. RESULTS: All four readers preferred the images applied with the algorithm to those without algorithm for all 10 anatomical regions (mean, 3.6; range, 3.2–4.0; p < 0.001) and for the overall image quality (mean, 3.8; range, 3.3–4.0; p < 0.001). The most preferred anatomical regions were the azygoesophageal recess, thoracic spine, and unobscured lung. CONCLUSION: The visibility of chest anatomical structures applied with the deconvolution algorithm of PSF was superior to the original chest radiography.
