Korean J Radiol.  2018 Feb;19(1):147-152. 10.3348/kjr.2018.19.1.147.

Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography

Affiliations
  • 1Department 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
  • 2Department of Radiology, Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju 54907, Korea.
  • 3Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Korea.

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.

Keyword

Preference test; Image quality; Digital chest radiography; Modulation transfer function; Deconvolution algorithm; Point spread function

MeSH Terms

Lung
Prospective Studies
Radiography*
Radiography, Thoracic
Spine
Thorax*

Figure

  • Fig. 1 Process of Gaussian modelling of light scattering in scintillator.

  • Fig. 2 Reconstructed image with and without TRUVIEW ART (DRTECH Corp.).A. By elimination of scattering effects applying TRUVIEW ART, blurred image can be seen more clearly. B. Without TRUVIEW ART, light scattering occurs by light spread of conventional scintillator, and image looks blurred.

  • Fig. 3 75-year-old man with coronary artery disease.Compared with original chest radiography (A), TRUVEIW ART applied chest radiography (B) shows better depiction in overall image quality.

  • Fig. 4 61-year-old man with non-small cell lung cancer.Compared with original chest radiography (A, B), TRUVEIW ART applied chest radiography (C, D) shows better visualization of unobscured lung and thoracic spines.


Cited by  1 articles

The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study
Su Yeon Ahn, Kum Ju Chae, Jin Mo Goo
Korean J Radiol. 2018;19(3):526-533.    doi: 10.3348/kjr.2018.19.3.526.


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