Bone, blood vessels, and muscle detection algorithm and creating database based on dynamic and non-dynamic multi-slice CT image of head and neck

Mohammed Shabbir Ahamed; Mitsuru Kubo; Yoshiki Kawata; Noboru Niki; Hirokazu Iwasaki

doi:10.1117/12.710473

30 March 2007 Bone, blood vessels, and muscle detection algorithm and creating database based on dynamic and non-dynamic multi-slice CT image of head and neck

Mohammed Shabbir Ahamed, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Hirokazu Iwasaki

Author Affiliations +

Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 651434 (2007) https://doi.org/10.1117/12.710473
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Nowadays, dental CT images play more and more important roles in oral clinical applications. Our research is important particularly in the field of dentistry. We are using non-dynamic and dynamic CT image for our research. We are creating our database of bone, blood vessels and muscles of head and neck. This database contains easy case and difficult case of head and neck's bone, blood vessels and muscle. There are lots of difficult cases in our database. Teeth separation and condylar process separation is difficult case. External carotid artery has many branches and they are attached with vain so it is difficult to separate. All muscle threshold value is same and they are attaching with each other so muscle separation is very difficult. These databases also contain different age's patients. For this reason our database becomes an important tool for dental students and also important assets for diagnosis. After completion our database we can link it with other dental application.

Citation Download Citation

Mohammed Shabbir Ahamed, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, and Hirokazu Iwasaki "Bone, blood vessels, and muscle detection algorithm and creating database based on dynamic and non-dynamic multi-slice CT image of head and neck", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 651434 (30 March 2007); https://doi.org/10.1117/12.710473

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