叠加
体素
口腔正畸科
计算机科学
人工智能
医学
作者
Antônio Carlos de Oliveira Ruellas,Marília Yatabe,Bernardo Quiroga Souki,Erika Benavides,Tung Nguyen,Ronir Raggio Luiz,Lorenzo Franchi,Lucía Cevidanes
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2016-06-23
卷期号:11 (6): e0157625-e0157625
被引量:92
标识
DOI:10.1371/journal.pone.0157625
摘要
Introduction The aim was to evaluate three regions of reference (Björk, Modified Björk and mandibular Body) for mandibular registration testing them in a patients' CBCT sample. Methods Mandibular 3D volumetric label maps were built from CBCTs taken before (T1) and after treatment (T2) in a sample of 16 growing subjects and labeled with eight landmarks. Registrations of T1 and T2 images relative to the different regions of reference were performed, and 3D surface models were generated. Seven mandibular dimensions were measured separately for each time-point (T1 and T2) in relation to a stable reference structure (lingual cortical of symphysis), and the T2-T1 differences were calculated. These differences were compared to differences measured between the superimposed T2 (generated from different regions of reference: Björk, Modified Björk and Mandibular Body) over T1 surface models. ICC and the Bland-Altman method tested the agreement of the changes obtained by nonsuperimposition measurements from the patients' sample, and changes between the overlapped surfaces after registration using the different regions of reference. Results The Björk region of reference (or mask) did work properly only in 2 of 16 patients. Evaluating the two other masks (Modified Björk and Mandibular body) on patients' scans registration, the concordance and agreement of the changes obtained from superimpositions (registered T2 over T1) compared to results obtained from non superimposed T1 and T2 separately, indicated that Mandibular Body mask displayed more consistent results. Conclusions The mandibular body mask (mandible without teeth, alveolar bone, rami and condyles) is a reliable reference for 3D regional registration.
科研通智能强力驱动
Strongly Powered by AbleSci AI