This study was aimed to demonstrate the feasibility of line profile method in quantitatively evaluating paediatric chest images acquired using computed radiography (CR). A sample of 36 paediatric chest images, which is 26 normal chest images and 10 abnormal chest images, were obtained using a CR system and were evaluated quantitatively using line profile. The method involves the use of imageJ software for profile setting and fortran 90 for quantifying the results. Each line profiles were subjected using six different quantization methods. These methods are pixel value without any modification (method I), pixel value modification with contrast of bone region of interest (ROI) (method II), pixel value modification with contrast of thorax ROI (method III), filtering pixel value range (method IV), filtering pixel value range with modification using bone ROI contrast (method V), as well as filtering pixel value range with modification using thorax ROI contrast (method VI). Methods were compared by means of their coefficient of variation (CoV). The best method for normal images was selected and was used to serve as baseline in distinguishing abnormal images. To quantitatively compare normal and abnormal line profile, discrepancy (Î´) with the baseline set was used as parameter. Result shows that line profile method with pixel value range filtering method (method IV) was able to distinguish abnormal images. From this set of method, the abnormalities with the smallest Î´ and the greatest Î´ was bronchitis and effusion. More thorough studies are required to confirm and improve the feasibility of this method.
|Journal||Journal of Medical Physics and Biophysics|
|Publication status||Published - 5 Mar 2018|