title: Mathematical filtering minimizes metallic halation of titanium implants in MicroCT images.
abstract: Microcomputed tomography (MicroCT) images containing titanium implant suffer from x-rays scattering, artifact and the implant surface is critically affected by metallic halation. To improve the metallic halation artifact, a nonlinear Total Variation denoising algorithm such as Split Bregman algorithm was applied to the digital data set of MicroCT images. This study demonstrated that the use of a mathematical filter could successfully reduce metallic halation, facilitating the osseointegration evaluation at the bone implant interface in the reconstructed images.
authors: University of California, Los Angeles, School of Dentistry, USA. jeehha@gmail.com
authors: Jee
authors: J
authors: Ha
authors: Stanley J
authors: SJ
authors: Osher
authors: Ichiro
authors: I
authors: Nishimura
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001842:Bone and Bones / Q000000981:diagnostic imaging; D015921:Dental Implants; D005374:Filtration; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008433:Mathematics; D016348:Osseointegration; D012542:Scattering, Radiation; D059629:Signal-To-Noise Ratio; D014025:Titanium; D055114:X-Ray Microtomography; D014965:X-Rays
chemical_list: D015921:Dental Implants; D014025:Titanium