Diagnostic Potential of 3D-Data–Based Reconstruction Software: An Analysis of the Rare Disease Pattern of Cherubism

2009 ◽  
Vol 46 (2) ◽  
pp. 215-219 ◽  
Author(s):  
Alexandra Ioana Holst ◽  
Ursula Hirschfelder ◽  
Stefan Holst
Keyword(s):  
3D Visualization ◽  
Cone Beam Ct ◽  
Permanent Tooth ◽  
Individual Treatment ◽  
Diagnostic Potential ◽  
Disease Pattern ◽  
Reconstruction Software ◽  
Volume Measurements ◽  
Ct Data ◽  
Tooth Germs

Cherubism is an autosomal-dominant syndrome characterized by bilateral maxillomandibular bony degeneration, fibrous connective tissue hyperplasia, and displacement of permanent tooth germs. Reossification of the cystic lumen occurs spontaneously, but dislocated teeth must be realigned orthodontically. Advancements in virtual 3D reconstruction of anatomic structures based on computed tomography (CT) or cone beam CT data have provided for more predictable individual treatment planning. We evaluated two software programs for making densitometry and volume measurements of cystic areas in the mandibles, and for 3D visualization of permanent tooth germs within the cystic lumen, in two siblings with cherubism.

scholarly journals The Natural Historian's Guide to the CT Galaxy: Step-by-Step Instructions for Preparing and Analyzing Computed Tomographic (CT) Data Using Cross-Platform, Open Access Software

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
T J Buser ◽  
O F Boyd ◽  
Á Cortés ◽  
C M Donatelli ◽  
M A Kolmann ◽  
...  
Keyword(s):  
Open Access ◽  
3D Printing ◽  
3D Visualization ◽  
3D Models ◽  
Digital Data ◽  
Anatomical Structures ◽  
Computed Tomographic ◽  
Biomechanical Models ◽  
Cross Platform ◽  
Ct Data

Synopsis The decreasing cost of acquiring computed tomographic (CT) data has fueled a global effort to digitize the anatomy of museum specimens. This effort has produced a wealth of open access digital three-dimensional (3D) models of anatomy available to anyone with access to the Internet. The potential applications of these data are broad, ranging from 3D printing for purely educational purposes to the development of highly advanced biomechanical models of anatomical structures. However, while virtually anyone can access these digital data, relatively few have the training to easily derive a desirable product (e.g., a 3D visualization of an anatomical structure) from them. Here, we present a workflow based on free, open source, cross-platform software for processing CT data. We provide step-by-step instructions that start with acquiring CT data from a new reconstruction or an open access repository, and progress through visualizing, measuring, landmarking, and constructing digital 3D models of anatomical structures. We also include instructions for digital dissection, data reduction, and exporting data for use in downstream applications such as 3D printing. Finally, we provide Supplementary Videos and workflows that demonstrate how the workflow facilitates five specific applications: measuring functional traits associated with feeding, digitally isolating anatomical structures, isolating regions of interest using semi-automated segmentation, collecting data with simple visual tools, and reducing file size and converting file type of a 3D model.

Automatic reconstruction method for high-contrast panoramic image from dental cone-beam CT data

2019 ◽  
Vol 175 ◽  
pp. 205-214 ◽  
Author(s):  
Zhaoqiang Yun ◽  
Shuo Yang ◽  
Erliang Huang ◽  
Lei Zhao ◽  
Wei Yang ◽  
...  
Keyword(s):  
Cone Beam Ct ◽  
Cone Beam ◽  
Reconstruction Method ◽  
Panoramic Image ◽  
High Contrast ◽  
Ct Data

TU-EE-A2-03: Evaluation of Dose Calculation in KV-Cone Beam CT Data Sets

2005 ◽  
Vol 32 (6Part17) ◽  
pp. 2109-2109
Author(s):  
T Tücking ◽  
S Nill ◽  
U Oelfke
Keyword(s):  
Cone Beam Ct ◽  
Dose Calculation ◽  
Cone Beam ◽  
Data Sets ◽  
Ct Data

New iterative cone beam CT reconstruction software: Parameter optimisation and convergence study

2010 ◽  
Vol 100 (2) ◽  
pp. 166-174 ◽  
Author(s):  
W. Qiu ◽  
J.R. Tong ◽  
C.N. Mitchell ◽  
T. Marchant ◽  
P. Spencer ◽  
...  
Keyword(s):  
Cone Beam Ct ◽  
Cone Beam ◽  
Ct Reconstruction ◽  
Parameter Optimisation ◽  
Reconstruction Software ◽  
Convergence Study

scholarly journals 3D Alternating Direction TV-Based Cone-Beam CT Reconstruction with Efficient GPU Implementation

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ailong Cai ◽  
Linyuan Wang ◽  
Hanming Zhang ◽  
Bin Yan ◽  
Lei Li ◽  
...  
Keyword(s):  
Total Variation ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Ct Reconstruction ◽  
Image Size ◽  
Numerical Accuracy ◽  
Alternating Direction ◽  
Heavy Burden ◽  
Ct Data ◽  
Gpu Implementation

Iterative image reconstruction (IIR) with sparsity-exploiting methods, such as total variation (TV) minimization, claims potentially large reductions in sampling requirements. However, the computation complexity becomes a heavy burden, especially in 3D reconstruction situations. In order to improve the performance for iterative reconstruction, an efficient IIR algorithm for cone-beam computed tomography (CBCT) with GPU implementation has been proposed in this paper. In the first place, an algorithm based on alternating direction total variation using local linearization and proximity technique is proposed for CBCT reconstruction. The applied proximal technique avoids the horrible pseudoinverse computation of big matrix which makes the proposed algorithm applicable and efficient for CBCT imaging. The iteration for this algorithm is simple but convergent. The simulation and real CT data reconstruction results indicate that the proposed algorithm is both fast and accurate. The GPU implementation shows an excellent acceleration ratio of more than 100 compared with CPU computation without losing numerical accuracy. The runtime for the new 3D algorithm is about 6.8 seconds per loop with the image size of256×256×256and 36 projections of the size of512×512.

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