Publication: Radiation dose and accuracy analysis of newly developed cone-beam CT for dental and maxillofacial imaging
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Issued Date
2013-10-31
Resource Type
ISSN
1557170X
Other identifier(s)
2-s2.0-84886524061
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. (2013), 2356-2359
Suggested Citation
Saowapak S. Thongvigitmanee, Napapong Pongnapang, Sorapong Aootaphao, Pinyo Yampri, Tanapong Srivongsa, Pasu Sirisalee, Jartuwat Rajruangrabin, Pairash Thajchayapong Radiation dose and accuracy analysis of newly developed cone-beam CT for dental and maxillofacial imaging. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. (2013), 2356-2359. doi:10.1109/EMBC.2013.6610011 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/31621
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Title
Radiation dose and accuracy analysis of newly developed cone-beam CT for dental and maxillofacial imaging
Abstract
Cone-beam computed tomography (CBCT) has become increasingly popular in dental and maxillofacial imaging due to its accurate 3D information, minimal radiation dose, and low machine cost. In this paper, we have proposed the newly developed CBCT scanner, called DentiiScan. Our gantry system consisting of a cone-beam X-ray source and an amorphous silicon flat panel detector is rotated around a patient's head. With the large area detector, only a single rotation is needed to reconstruct the field-of-view area from chin to eyes and our reconstructed algorithm based on GPU calculation is about 30 times faster than the CPU-based algorithm. The radiation dose was measured and compared to other dental and medical CT machines. The absorbed radiation dose from our proposed CBCT machine is significantly low. In addition, geometric accuracy was analyzed when the test object was scanned at the normal position as well as the inclined position. The results from three observers repeated for five times confirm that the machine can produce reconstructed images with high accuracy. © 2013 IEEE.