Investigating the improvement of the quality of CT scan images in the presence of metal implants in the body

CT scan imaging is one of the imaging methods for better diagnosis of some diseases. But in this imaging method, there is a possibility of correct diagnosis of diseases due to the presence of metal plates. The presence of such false images mostly occurs in the images of the pelvis and head, which causes the lack of correct and early diagnosis of diseases such as colon cancer, cerebral hemorrhage, and stroke. In this regard, the aim of the present study is to investigate the improvement of the quality of CT scan images in the presence of metal implants in the body.
In this research, the basis of the proposed method is based on interpolation and segmentation, which is achieved through nine stages of image processing with high quality compared to previous methods. The steps are as follows: improving image quality, removing regions of metal parts, segmenting metal parts, transferring the image to the sinogram area, linear interpolation of paths, normalizing the sinogram, interpolating paths, filtering, adding metal parts.
The present study showed that the effectiveness of the proposed method on large and small implants has a higher quality than the two methods of interpolation of general changes and linear interpolation, and it has a more suitable quality than the method of removing metal parts for large implants.
The proposed method has a more acceptable and more efficient performance in the pelvic region than the two linear and elimination interpolation methods compared.