SU-E-J-231: Comparison of Delineation Variability of Soft Tissue Volume and Position in Head-And-Neck Between Two T1-Weighted Pulse Sequences Using An MR-Simulator with Immobilization

2015 ◽  
Vol 42 (6Part10) ◽  
pp. 3319-3319
Author(s):  
O Wong ◽  
G Lo ◽  
J Yuan ◽  
M Law ◽  
A Ding ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Head And Neck ◽  
Pulse Sequences ◽  
Tissue Volume ◽  
Soft Tissue Volume

scholarly journals Soft tissue volume augmentation at dental implant sites using a volume stable three-dimensional collagen matrix - histological outcomes of a preclinical study

2017 ◽  
Vol 44 (2) ◽  
pp. 185-194 ◽  
Author(s):  
Daniel S. Thoma ◽  
Nadja Naenni ◽  
Goran I. Benic ◽  
Christoph H. F. Hämmerle ◽  
Ronald E. Jung
Keyword(s):  
Soft Tissue ◽  
Dental Implant ◽  
Three Dimensional ◽  
Collagen Matrix ◽  
Preclinical Study ◽  
Tissue Volume ◽  
Soft Tissue Volume

scholarly journals Soft tissue volume augmentation by the use of collagen-based matrices: a volumetric analysis

2010 ◽  
Vol 37 (7) ◽  
pp. 659-666 ◽  
Author(s):  
Daniel S. Thoma ◽  
Ronald E. Jung ◽  
David Schneider ◽  
David L. Cochran ◽  
Andreas Ender ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Volumetric Analysis ◽  
Tissue Volume ◽  
Soft Tissue Volume

Validation of In Vivo Assessment of Facial Soft-Tissue Volume Changes and Clinical Application in Midfacial Distraction: A Technical Report

2003 ◽  
Vol 112 (2) ◽  
pp. 367-380 ◽  
Author(s):  
Emeka Nkenke ◽  
Astrid Langer ◽  
Xavier Laboureux ◽  
Michaela Benz ◽  
Tobias Maier ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Clinical Application ◽  
Volume Changes ◽  
Facial Soft Tissue ◽  
Tissue Volume ◽  
Soft Tissue Volume ◽  
Technical Report ◽  
In Vivo Assessment

Buccal Fat Pad Sculpting for Lower Facial Contouring With 3-Dimensional Volume Assessment

2020 ◽  
pp. 074880682098086
Author(s):  
Robert T. Cristel ◽  
Benjamin P. Caughlin
Keyword(s):  
Soft Tissue ◽  
Volume Change ◽  
3D Imaging ◽  
Fat Pad ◽  
Buccal Fat Pad ◽  
Volume Changes ◽  
Tissue Volume ◽  
Soft Tissue Volume ◽  
The Face ◽  
The Mean

Buccal fat pad sculpting and removal (BFPS) can create narrowing of the lower 1/3rd of the face by selective removal and reduction of soft tissue volume. Three-dimensional (3D) imaging allows for quantitative and objective assessment of volume changes over traditional 2-dimensional photographs that has not been previously studied in BFPS. A prospective study was designed in consecutive subjects undergoing BFPS from April 2018 through March 2020. Only those patients that underwent solely BFPS were included. VectraXT 3D imaging and software was used to compare preoperative and postoperative volume changes. Fifteen patients were enrolled in the study with 2 males and 13 females. The mean length of follow up was 7.7 months (range: 1-21 months). All patients were found to have volume reduction in the area evaluated. The mean volume reduction of the selected mid-lower face in the frontal view was 7.2 mL on the left side and 7.5 mL on the right side. There was no statistical difference between the volume change when the 2 sides were compared (P= 0.82). This study demonstrate the use of 3D photography to objectively and quantitatively assess volume change following BFPS and that the volume removed is significant enough to demonstrate favorable results using 3D imaging. Buccal fat pad sculpting is a safe and reliable option for creating a narrowed lower one-third of the face. This is accomplished by selective fat removal and cautery induced reduction of the lower one-third of the face soft tissue volume. VectraXT 3D imaging and analysis is a powerful tool to objectively and quantitatively assess volume changes in BFPS.

Does Ridge Preservation at the Time of Tooth Extraction Improve Soft Tissue Volume and/or Implant Esthetics? A Review of Current Evidence

2015 ◽  
Vol 5 (3) ◽  
pp. 208-215
Author(s):  
Maria L. Geisinger ◽  
Carolyn M. Holmes ◽  
Nicolaas C. Geurs ◽  
Michael S. Reddy
Keyword(s):  
Soft Tissue ◽  
Tooth Extraction ◽  
Current Evidence ◽  
Ridge Preservation ◽  
Tissue Volume ◽  
Soft Tissue Volume

Magnetic Resonance Imaging Characterization of Orbital Soft-Tissue Volume Dynamics with Age

2009 ◽  
Vol 124 (4) ◽  
pp. 1362-1364 ◽  
Author(s):  
Sean J. Darcy ◽  
Michael Hakimi ◽  
Timothy A. Miller ◽  
Robert A. Goldberg ◽  
Gregory R. D. Evans ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Resonance Imaging ◽  
Tissue Volume ◽  
Soft Tissue Volume ◽  
Orbital Soft Tissue ◽  
Imaging Characterization

scholarly journals An accurate interactive segmentation and volume calculation of orbital soft tissue for orbital reconstruction after enucleation

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Qingyao Ning ◽  
Xiaoyao Yu ◽  
Qi Gao ◽  
Jiajun Xie ◽  
Chunlei Yao ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Graph Cut ◽  
Fat Tissue ◽  
Tissue Segmentation ◽  
Orbital Reconstruction ◽  
Tissue Volume ◽  
Soft Tissue Volume ◽  
Cut Method ◽  
Graph Cut Segmentation ◽  
Orbital Soft Tissue

Abstract Background Accurate measurement and reconstruction of orbital soft tissue is important to diagnosis and treatment of orbital diseases. This study applied an interactive graph cut method to orbital soft tissue precise segmentation and calculation in computerized tomography (CT) images, and to estimate its application in orbital reconstruction. Methods The interactive graph cut method was introduced to segment extraocular muscle and intraorbital fat in CT images. Intra- and inter-observer variability of tissue volume measured by graph cut segmentation was validated. Accuracy and reliability of the method was accessed by comparing with manual delineation and commercial medical image software. Intraorbital structure of 10 patients after enucleation surgery was reconstructed based on graph cut segmentation and soft tissue volume were compared within two different surgical techniques. Results Both muscle and fat tissue segmentation results of graph cut method showed good consistency with ground truth in phantom data. There were no significant differences in muscle calculations between observers or segmental methods (p > 0.05). Graph cut results of fat tissue had coincidental variable trend with ground truth which could identify 0.1cm3 variation. The mean performance time of graph cut segmentation was significantly shorter than manual delineation and commercial software (p < 0.001). Jaccard similarity and Dice coefficient of graph cut method were 0.767 ± 0.045 and 0.836 ± 0.032 for human normal extraocular muscle segmentation. The measurements of fat tissue were significantly better in graph cut than those in commercial software (p < 0.05). Orbital soft tissue volume was decreased in post-enucleation orbit than that in normal orbit (p < 0.05). Conclusion The graph cut method was validated to have good accuracy, reliability and efficiency in orbit soft tissue segmentation. It could discern minor volume changes of soft tissue. The interactive segmenting technique would be a valuable tool for dynamic analysis and prediction of therapeutic effect and orbital reconstruction.

Soft tissue volume augmentation by the use of collagen-based matrices in the dog mandible - a histological analysis

2011 ◽  
Vol 38 (11) ◽  
pp. 1063-1070 ◽  
Author(s):  
Daniel S. Thoma ◽  
Christoph H. F. Hämmerle ◽  
David L. Cochran ◽  
Archie A. Jones ◽  
Christoph Görlach ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Histological Analysis ◽  
Tissue Volume ◽  
Soft Tissue Volume
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