Minor roject

            My research question is the new iterative reconstruction technique suppresses the metal streak artifact in computed tomography images. It should improve image quality and diagnostic confidence of the metallic artifact region in the routine clinical application. Metal streak artifacts are major problem in computed tomography because they result in dark and bright shading between metal objects.

            Many researchers who have looked at this subject are Boas F Edward and Joemai Raoul M S for instance. They argue that metal streak artifacts can also suppress by using iterative reconstruction techniques, resulting in more accurate diagnosis.

            Boas et al (2012) argues the different types of computed tomography artifacts including noise, beam hardening, scatter, motion and metal artifacts. They review the causes and methods to suppress the artifact. They conclude that iterative reconstruction technique can suppress metal streak artifact and improve image quality.

            Joemai et al (2012) argues that metal streak artifact were suppressed by applying correction in Radon transformation of the computed tomography images and forward projection with applying corrections in the scanner’s original raw data.

            Debate centers on the basic issue of metal artifact suppression are importance because it can improve image quality, accuracy and confidence diagnostic in computed tomography images.

            There is still work to be done on the techniques that can be suppressed metal streak artifact because current techniques and methods for suppression metal artifacts in computed tomography images have not achieved widespread clinic use and some techniques can produce new artifacts in the computed tomography images.

            My research is closer to Boas’s research because I will be used the iterative reconstruction technique to suppress metal streak artifact in computed tomography. However, I will add function and develop algorithm to suppress metal artifact to obtain the better image quality and more suppress metal artifact than Boas’s method.

            Hopefully my contribution will be improved diagnostic confidence and image quality in term of metal artifact suppression in computed tomography images. I will be implemented the new iterative reconstruction algorithm at the Department of Radiology, King Chulalongkorn Memorial Hospital for suppression of metal streak artifact in the routine clinic application.

Reference list

Boas, E. F. & Fleischmann D. (2012). CT artifacts: causes and reduction techniques. Imaging in Medicine, 4(2), 229-240.

Joemai R.M.S., Bruin P.W.D., Veldkamp W.J.H. & Geleijns J.  (2012). Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique. Medical Physics, 39(2), 1125-1132