title: Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting.
abstract: This paper presents K-edge filtering and energy weighting methods which enhance the contrast with less radiation does. Usually, energy weighting methods are used with photon-counting detector based CT for each energy bin data obtained to enhance the quality of image. However, we used these methods combine with K-edge filtering in energy-integrating detector. Using K-edge filtering, different energy bin data for energy weighting methods were obtained, and then energy weighting factors were calculated to enhance the contrast of image. We report an evaluation of the contrast-to-noise ratio (CNR) of reconstructed image with and without these two methods. This evaluation was proceeded with two phantoms; one is the phantom created personally, and the other is Sendentexct IQ dental CBCT (SENDENTEXCT, EU). As for the phantom created personally, the CNR of images reconstructed with these methods were increased than CNR of standard images. It was seen that 31% to 81% in each energy weighting method for optimizing each material (cortical bone, inner bone, soft tissue, iodine (18.5 g/l), iodine (37 g/l)). In conclusion, we can enhance the contrast of CT images with less radiation dose using K-edge filtering and energy weighting method.
authors.forename: Se-Ryong
authors.initials: SR
authors.lastname: Kang
authors.forename: Woo-Jin
authors.initials: WJ
authors.lastname: Lee
authors.forename: Sang-Yoon
authors.initials: SY
authors.lastname: Woo
authors.forename: Dae-Seung
authors.initials: DS
authors.lastname: Kim
authors.forename: Won-Jin
authors.initials: WJ
authors.lastname: Yi
mesh_terms: D000465:Algorithms; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D004307:Dose-Response Relationship, Radiation; D019047:Phantoms, Imaging; D017785:Photons; D011857:Radiographic Image Interpretation, Computer-Assisted; D059629:Signal-To-Noise Ratio