@article{oai:kitami-it.repo.nii.ac.jp:00007859, author = {Dong, Jian and Hayakawa, Yoshihiko and Kober, Cornelia}, issue = {5}, journal = {Dentomaxillofacial Radiology}, month = {Jul}, note = {Objectives:, When metallic prosthetic appliances and dental fillings exist in the oral cavity, the appearance of metal-induced streak artefacts are not avoidable in CT images. The study was to develop a method for artefact reduction using the statistical reconstruction on MD (multi-detectors row) CT images., Methods:, Adjacent CT images often depict similar anatomical structures. Therefore, reconstructed images with weak artefacts were attempted using projection data of an artefact-free image in a neighboring thin slice. Images with moderate and strong artefacts were continuously processed in sequence by successive iterative restoration where projection data was generated from the adjacent reconstructed slice. First, the basic maximum likelihood-expectation maximization (ML-EM) algorithm was applied. Next, the ordered subset-expectation maximization (OS-EM) algorithm was examined. Alternatively, a small region of interest (ROI) setting was designated. Finally, the GPGPU (general purpose graphic processing unit) machine was applied in both situations., Results:, The algorithms reduced metal-induced streak artefacts on MDCT images when the sequential processing method was applied. The OS-EM and small ROI reduced the processing duration without apparent detriments. GPGPU realized the high performance., Conclusions:, A statistical reconstruction method was applied for the streak artefact reduction. The alternatives of algorithms applied were effective. Both software and hardware tools, such as OS-EM, small ROI and GPGPU achieved fast artefact correction.}, title = {Statistical iterative reconstruction for streak artefact reduction when using multidetector CT to image the dento-alveolar structures}, volume = {43}, year = {2014} }