Jaw Segmentation from CBCT Images

Zhang, Songze; Xie, Junjie; Shi, Hongjian

10.1109/ICDSP.2018.8631819

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

Nowadays, more people pay attcntion to the dental health including oral cavities, bone tumors or cancers, so the dental CBCT images becomes popular and are widely used in dental diagnosis. Dental implants, orthodontic orthodontics and other surgical procedures are employed in daily life, Accurate jaw separation from neighboring tissues can greatly improve diagnosis results, space measurements and success rates of surgical operations. This paper proposes an automatic segmentation algorithm to separate jaw hone from CBCT images. This algorithm uses the idea of three-dimensional region growing to perform segmentation, then optimizes the segmentation results with active contours, This algorithm yields more accurate segmentation of the jaw bone. Experiments are performed to both manually and automatically segment 10 groups of CBCT datasets. With manual segmentation references, our algorithm demonstrated our automatic segmentation algorithm work well, and further confirmed by evaluation of four quantitative metrics PSNR, SSIM, Precision and Recall. It can potentially assist doctors in diagnosis and surgical planning.

jaw segmentation region growing active contour

第一 ; 通讯

英语

CPCI-S ; EI

Engineering

Engineering, Electrical & Electronic

WOS:000458909600200

20191106629409

Bone ; Dental prostheses ; Diagnosis ; Digital signal processing ; Implants (surgical) ; Petroleum reservoir evaluation ; Surgery

Biological Materials and Tissue Engineering:461.2 ; Medicine and Pharmacology:461.6 ; Dental Equipment and Supplies:462.3 ; Prosthetics:462.4 ; Petroleum Deposits : Development Operations:512.1.2

Web of Science

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

Zhang, Songze,Xie, Junjie,Shi, Hongjian. Jaw Segmentation from CBCT Images[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1-5.