عليرضا راست گرداني

The high need for neurosurgery, especially spinal surgery with high accuracy and sensitivity has always been considered by researchers. For this reason, the CBCT imaging system with the ability to move and move in the operating room with the ability to make three-dimensional X-ray images of the spine for planning as well as better eva‎luation of surgery is considered. There are several challenges in this direction, among which, the effects of movement in the spine are affected by heart rate, respiration and involuntary movements such as coughing, which causes artifacts in the reconstruction of X-ray images and the quality of three-dimensional images. After recognizing these artifacts, many researches have been presented to modify these artifacts in images. Of these methods, autofocus method, two-dimensional three-dimensional matching, phase-based and marker-based methods. Of course, these methods have limitations such as high computational cost, the need for additional features such as sensors or cameras, the need for 4 DCT imaging before surgery, inefficiency in high range of motion and increased scan time. In the present study, we have examined and used the Atfocus method. One of the challenges of this research has been the lack of CBCT images with the required parameters. This problem has been solved by creating a virtual phantom from the spine, with the possibility of creating different artifacts in the model, and from this virtual phantom for research. One of the challenges in eliminating artifacts is the uncertainty of the kinematic compensation vector, which in this study by expressing autofocus optimization methods, sharpness criteria, bead classification and finally artifact correction. These reforms will be implemented.

تصوير برداري CBCT , آرتيفكت حركتي , روش اتوفوكوس , جراحي ستون فقرات

CBCT imaging , motion artifact , autofocus method , spine surgery

Alireza Rastgordani

Dr. Borhan Beigzadeh