Int J Med Robot - Image-quality figure evaluator based on contrast-detail phantom in radiography.

Tópicos

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Resumo

CKGROUND: In radiology, it is significantly important to produce adequate diagnostic information while minimally affecting the patient with the lowest amount of dose. A contrast-detail phantom is generally used to study the quality of image and the amount of radiation dose for digital X-ray imaging systems. To evaluate the quality of a phantom image, radiologists are traditionally required to manually indicate the location of the holes in each square in the phantom image. Then, the image quality figure (IQF) of the image can be evaluated. However, evaluation by the human eye is subjective as well as time-consuming, and it differs from person to person.METHODS: In this paper, an image processing-based IQF evaluator is proposed to automatically measure the quality of a phantom image. Nine phantom images, each consisting of 2382?2212 pixels, were used as test images and were provided by Taichung Hospital, Department of Health, Executive Yuan, Taiwan, Republic of China. The IP-IQF evaluator separates the phantom image into squares and then stretches the contrast of each square to the range 0-255. After that, it splits each square into 3?3 equal-sized regions, and recognizes the pattern of the square based on the features computed by mean-difference gradient operation and run length enhancer. Furthermore, a genetic algorithm-based parameter values-detecting algorithm is presented to compute the optimal values of the parameters used in the IP-IQF evaluator.RESULTS: The experimental results demonstrate that CoCIQ and the IP-IQF evaluator can efficiently measure the IQF of a phantom image. The IP-IQF evaluator is more effective than a radiologist and CoCIQ in evaluating the IQF of a phantom image.CONCLUSIONS: The proposed IQF evaluator is more sensitive than not only the observation of radiologists but also the computer program CoCIQ. Moreover, a genetic algorithm is provided to compute the most suitable values of the parameters used in the IQF evaluator.

Resumo Limpo

ckground radiolog signific import produc adequ diagnost inform minim affect patient lowest amount dose contrastdetail phantom general use studi qualiti imag amount radiat dose digit xray imag system evalu qualiti phantom imag radiologist tradit requir manual indic locat hole squar phantom imag imag qualiti figur iqf imag can evalu howev evalu human eye subject well timeconsum differ person personmethod paper imag processingbas iqf evalu propos automat measur qualiti phantom imag nine phantom imag consist pixel use test imag provid taichung hospit depart health execut yuan taiwan republ china ipiqf evalu separ phantom imag squar stretch contrast squar rang split squar equals region recogn pattern squar base featur comput meandiffer gradient oper run length enhanc furthermor genet algorithmbas paramet valuesdetect algorithm present comput optim valu paramet use ipiqf evaluatorresult experiment result demonstr cociq ipiqf evalu can effici measur iqf phantom imag ipiqf evalu effect radiologist cociq evalu iqf phantom imageconclus propos iqf evalu sensit observ radiologist also comput program cociq moreov genet algorithm provid comput suitabl valu paramet use iqf evalu

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