Segmentation of Bony Tissues from CBCT Images

He, Siyu; Shi, Hongjian

10.1109/ICDSP.2018.8631804

2018

1546-1874

978-1-5386-6812-2

2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)

2018-November

1-5

19-21 Nov. 2018

Shanghai, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

A segmentation algorithm of the jawbones and spinal cords is developed from cone beam computed tomographic (CBCT) data sets. Our segmentation algorithm was tested on five CBCT data sets and compared with manual segmentation results. The jawbones are bony tissues consisting of the upper jaw and the lower mandible. The procedure is based on the intensity distribution and space growing to separate the jawbones and cervical spine from their neighboring tissues. The segmentation procedure is to grow and preserve the shapes of these bony tissues. The developed segmentation algorithm separated the jawbones and cervical spine successfully. The results were quite accurate comparable with those by hand. Further, the method was robust and efficient.

CBCT segmentation space growing

第一 ; 通讯

英语

CPCI-S ; EI

Engineering

Engineering, Electrical & Electronic

WOS:000458909600185

20191106629394

Computerized tomography ; Digital signal processing ; Histology ; Tissue

Biological Materials and Tissue Engineering:461.2 ; Computer Applications:723.5

Web of Science

Southern Univ Sci & Technol, SUSTC, Dept Elect & Elect Engn, Shenzhen, Peoples R China

He, Siyu,Shi, Hongjian. Segmentation of Bony Tissues from CBCT Images[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1-5.