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Comparative Study
. 2009 Oct;25(7):657-67.
doi: 10.1007/s10554-009-9482-x. Epub 2009 Jul 26.

Coronary angiography enhancement for visualization

Shengxian Tu  1 , Gerhard Koning, Joan C Tuinenburg, Wouter Jukema, Su Zhang, Yazhu Chen, Johan H C Reiber
Affiliations
Comparative Study

Coronary angiography enhancement for visualization

Shengxian Tu et al. Int J Cardiovasc Imaging. 2009 Oct.

Abstract

High quality visualization on X-ray angiograms is of great significance both for the diagnosis of vessel abnormalities and for coronary interventions. Algorithms for improving the visualization of detailed vascular structures without significantly increasing image noise are currently demanded in the market. A new algorithm called stick-guided lateral inhibition (SGLI) is presented for increasing the visibility of coronary vascular structures. A validation study was set up to compare the SGLI algorithm with the conventional unsharp masking (UM) algorithm on 20 still frames of coronary angiographic images. Ten experienced QCA analysts and nine cardiologists from various centers participated in the validation. Sample scoring value (SSV) and observer agreement value (OAV) were defined to evaluate the validation result, in terms of enhancing performance and observer agreement, respectively. The mean of SSV was concluded to be 77.1 +/- 11.9%, indicating that the SGLI algorithm performed significantly better than the UM algorithm (P-value < 0.001). The mean of the OAV was concluded to be 70.3%, indicating that the average agreement with respect to a senior cardiologist was 70.3%. In conclusion, this validation study clearly demonstrates the superiority of the SGLI algorithm in the visualization of coronary arteries from X-ray angiograms.

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Figures

Fig. 1
Fig. 1
Lateral inhibition network (only the inhibition from the direct neighbors is indicated for illustration purposes)
Fig. 2
Fig. 2
Image contrast enhancement by lateral inhibition model
Fig. 3
Fig. 3
Asymmetric stick filtering kernel with length four
Fig. 4
Fig. 4
Angiographic image enhancement by lateral inhibition models: a is the original image; b is the result of enhancement by the original lateral inhibition model; c is the result of enhancement by the improved lateral inhibition model without guidance; d is the result of enhancement by stick-guided lateral inhibition model
Fig. 5
Fig. 5
An example of the grouped image pair for comparing the SGLI and the UM
Fig. 6
Fig. 6
Comparisons of SGLI and UM on one angiographic image: a is original angiographic image; b–d are the images enhanced by UM with gain level 1, 3, and 5; e–g are the images enhanced by SGLI with gain level 1, 3, and 5
Fig. 7
Fig. 7
The sample scoring value for each sample
Fig. 8
Fig. 8
The observer agreement value for each observer
See this image and copyright information in PMC

References

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