Int J Comput Assist Radiol Surg - Successive iterative restoration applied to streak artifact reduction in X-ray CT image of dento-alveolar region.

Tópicos

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Resumo

RPOSE: X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak artifacts. The purpose of the study is to reduce streak artifacts appeared on dental and maxillofacial X-ray CT images by the application of modified iterative restoration method.METHODS: We took advantage of the aspect that adjacent CT images often depict very similar anatomical structures within the resulting collection of thin-slice images. CT images having streak artifacts were processed using the projection data of adjacent CT images. A modified iterative correction, the maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm, was employed to reduce the streak artifact caused by metallic materials in the oral cavity. It approximates between the processed image and the original projection data. First, the projection data of an intact image were obtained, and then, the next image that had streak artifacts was processed. The projection data of the processed image were obtained, and the ML-EM method was applied to the next image again. Then, the successive iterative restoration was carried out.RESULTS: Twelve adjacent images were processed. Each iterative restoration was carried out fifty times. Streak artifacts were observed on processed images at the initial stage, but some of them either suppressed or disappeared as the iteration progressed.CONCLUSIONS: The modified ML-EM method was effective to reduce streak artifacts in X-ray CT images in dento-alveolar region.

Resumo Limpo

rpose xray comput tomographi ct imag dentoalveolar region sometim render unus diagnost purpos due appear streak artifact purpos studi reduc streak artifact appear dental maxillofaci xray ct imag applic modifi iter restor methodmethod took advantag aspect adjac ct imag often depict similar anatom structur within result collect thinslic imag ct imag streak artifact process use project data adjac ct imag modifi iter correct maximum likelihoodexpect maxim mlem reconstruct algorithm employ reduc streak artifact caus metal materi oral caviti approxim process imag origin project data first project data intact imag obtain next imag streak artifact process project data process imag obtain mlem method appli next imag success iter restor carri outresult twelv adjac imag process iter restor carri fifti time streak artifact observ process imag initi stage either suppress disappear iter progressedconclus modifi mlem method effect reduc streak artifact xray ct imag dentoalveolar region

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