2017
DOI: 10.1155/2017/5130241
|View full text |Cite
|
Sign up to set email alerts
|

3D Morphology Analysis of TMJ Articular Eminence in Magnetic Resonance Imaging

Abstract: Purpose The objective of this study was to evaluate the computational reconstruction of the articular eminence of the temporomandibular joint (TMJ) based on magnetic resonance imaging (MRI) and semiautomatic volumetric segmentation techniques for morphological classification of the TMJ structure. Materials and Methods A total of 36 MRI scans of TMJ individuals were selected and formatted by using the ITK-SNAP software, consisting of MRI segmentation and generation of 3D models. The TMJ articular eminences were… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 29 publications
(38 reference statements)
0
2
0
Order By: Relevance
“…Yet, many doctors have to resort to rudimentary linear measurements of the objects in the 2D scans. Among the currently used metrics for TMJ examinations are the horizontal condylar angle (HCA), sagittal ramus angle (SRA), medial joint space (MJS), lateral joint space (LJS), superior joint space (SJS), anterior joint space (AJS), and the width/depth of mandibular fossa (FW, FD) 20 . Being selected by the eye and being based on imprecise reference points, these metrics can only depict the 2D representation of the 3D pattern.…”
Section: Deep Negative Volume Segmentationmentioning
confidence: 99%
“…Yet, many doctors have to resort to rudimentary linear measurements of the objects in the 2D scans. Among the currently used metrics for TMJ examinations are the horizontal condylar angle (HCA), sagittal ramus angle (SRA), medial joint space (MJS), lateral joint space (LJS), superior joint space (SJS), anterior joint space (AJS), and the width/depth of mandibular fossa (FW, FD) 20 . Being selected by the eye and being based on imprecise reference points, these metrics can only depict the 2D representation of the 3D pattern.…”
Section: Deep Negative Volume Segmentationmentioning
confidence: 99%
“…Currently, available imaging software allows 3-D anatomical reconstruction of the tumor and adjacent structures, based on 3-D rendering software and anatomical modeling and spatial information of the target structure [ 7 , 8 ]. Volumetric anatomical modeling of deeply located tumors can help to determine the surgical approach and parameters to be used to ensure a safer treatment and decrease the chances of tumor recurrence [ 9 11 ].…”
Section: Introductionmentioning
confidence: 99%