Automatic matching of computed tomography and stereolithography data.
Optical imaging/oct/dot
Registration
Surgical guidance/navigation
Tooth
X-ray imaging and computed tomography
Journal
Computer methods and programs in biomedicine
ISSN: 1872-7565
Titre abrégé: Comput Methods Programs Biomed
Pays: Ireland
ID NLM: 8506513
Informations de publication
Date de publication:
Jul 2019
Jul 2019
Historique:
received:
22
12
2018
revised:
10
03
2019
accepted:
02
04
2019
entrez:
21
5
2019
pubmed:
21
5
2019
medline:
18
12
2019
Statut:
ppublish
Résumé
Computed tomography (CT) is one of the most frequently used medical imaging methods. An important application area of CT is dental implants, which require precise inspection and analysis of oral structures. Since CT provides a precise 3D model of the teeth, bones and nerves, it can be used as a surgical guide for dental implants. Along with CT, optical 3D images called stereolithography (STL) have also been widely used. STL images obtained from optical 3D images can be used to show the 3D surfaces of oral structures. Since CT data and STL data deploy different technologies to obtain dental information, we can obtain more accurate dental implants by combining the two datasets. Since the two datasets are acquired by using different sensors, the datasets need to be registered. An automatic matching algorithm is proposed for CT and STL image registration, which is based on depth maps and maximum intensity projection. Then, fine tuning was performed based on volume matching. When applied to real-world databases, the proposed method provided an average matching error of 2.7 mm for the upper jaw and 2.3 mm for the lower jaw with an average processing time of about 19 s. The proposed method performs accurate registration of CT and STL.
Sections du résumé
BACKGROUND AND OBJECTIVE
OBJECTIVE
Computed tomography (CT) is one of the most frequently used medical imaging methods. An important application area of CT is dental implants, which require precise inspection and analysis of oral structures. Since CT provides a precise 3D model of the teeth, bones and nerves, it can be used as a surgical guide for dental implants. Along with CT, optical 3D images called stereolithography (STL) have also been widely used. STL images obtained from optical 3D images can be used to show the 3D surfaces of oral structures. Since CT data and STL data deploy different technologies to obtain dental information, we can obtain more accurate dental implants by combining the two datasets. Since the two datasets are acquired by using different sensors, the datasets need to be registered.
METHODS
METHODS
An automatic matching algorithm is proposed for CT and STL image registration, which is based on depth maps and maximum intensity projection. Then, fine tuning was performed based on volume matching.
RESULTS
RESULTS
When applied to real-world databases, the proposed method provided an average matching error of 2.7 mm for the upper jaw and 2.3 mm for the lower jaw with an average processing time of about 19 s.
CONCLUSIONS
CONCLUSIONS
The proposed method performs accurate registration of CT and STL.
Identifiants
pubmed: 31104709
pii: S0169-2607(18)31867-4
doi: 10.1016/j.cmpb.2019.04.003
pii:
doi:
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
215-222Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.