2013
DOI: 10.1007/s11760-013-0432-7
|View full text |Cite
|
Sign up to set email alerts
|

Automatic cephalometric landmark detection using Zernike moments and template matching

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
30
0

Year Published

2013
2013
2024
2024

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(30 citation statements)
references
References 20 publications
0
30
0
Order By: Relevance
“…Cephalometric analysis is performed on skeletal X-ray images. This is necessary for doctors to make orthodontic diagnoses [1][2][3]. In cephalometric analysis, the first step is to detect landmarks in X-ray images.…”
Section: Introductionmentioning
confidence: 99%
“…Cephalometric analysis is performed on skeletal X-ray images. This is necessary for doctors to make orthodontic diagnoses [1][2][3]. In cephalometric analysis, the first step is to detect landmarks in X-ray images.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4][5][6][7] Such analyses are usually performed using two-dimensional (2-D) x-ray images of the human head, i.e., cephalograms, because of the high resolution enabled by modern x-ray imaging devices and the superior distinguishability of the bony structure boundaries in x-ray images. A standard cephalometric analysis procedure involves identification of anatomically relevant anchor points, i.e., landmarks, measurement of various angles and distances between these landmarks, and qualitative assessment of pathologies from these angles and distances.…”
Section: Introductionmentioning
confidence: 99%
“…In 1982, Rakosi [12] defined 90 landmarks, which have been used by orthodontists for clinical research. Among these, 19 landmarks were commonly adopted in recent studies [13], [18]- [20], [23] and for clinical practice. In this grand challenge, these 19 landmarks are selected in the standard evaluation framework.…”
Section: Introductionmentioning
confidence: 99%
“…Challenges of auto-identification of anatomical landmarks in cephalometric X-ray images include variations on individual skeletal structures, image blurs caused by devicespecific projection magnifications, and image complexity due to the overlapping contralateral structures [15]- [17]. Some studies focused on investigating methods for automatic localization/identification of cephalometric landmarks [18]- [20]. In 2006, Yue et al [18] built a modified active shape model to detect 12 anatomical landmarks, achieving a 71% success rate of landmark detection within 2.0 mm and 88% within 4.0 mm.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation