Computer-generated anatomic modeling using radiologic data is a well-known entity. Currently, state of the art 3D modeling systems lack the variable thresholding, user interactive, capabilities of 3D imaging software.1 We investigated clinical parameters - cr scan plane, 2D filter algorithm, surrounding medium - and tested a simple mathematical thresholding algorithm based upon experimentation with a cr phantom, to evaluate a semiautomated approach to 3D craniofacial imaging and model generation. (Figure 1)Mechanical Engineerin
Clinical procedures that are conventionally guided by 2D x-ray imaging, may benefit from the additio...
Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Computer-generated anatomic modeling using radiologic data is a well-known entity. Currently, state...
Volume averaging artifacts in medical imaging result from voxel occupancy by more than one tissue t...
Three dimensional (3D) image processing and visualisation methods were applied in craniomaxillofacia...
Objectives: Modern computed tomography (CT) databases offer a valuable resource for obtaining skelet...
The use of a single grey intensity threshold is one of the most straightforward and widely used meth...
The use of a single grey intensity threshold is one of the most straightforward and widely used meth...
Abstract3D reconstruction of face is one of the advancements in physical modeling techniques which u...
Introduction: Individual planning of complex maxillofacial corrections may require 3D models which c...
The present study describes a strategy to produce patient-specific skull base rep-lica with realisti...
The accuracy of three-dimensional (3D) facial skeletal surface models derived from radiographic volu...
Computerized treatment planning is routinely used in cranio-maxillofacial applications. For these th...
We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset ...
Clinical procedures that are conventionally guided by 2D x-ray imaging, may benefit from the additio...
Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Computer-generated anatomic modeling using radiologic data is a well-known entity. Currently, state...
Volume averaging artifacts in medical imaging result from voxel occupancy by more than one tissue t...
Three dimensional (3D) image processing and visualisation methods were applied in craniomaxillofacia...
Objectives: Modern computed tomography (CT) databases offer a valuable resource for obtaining skelet...
The use of a single grey intensity threshold is one of the most straightforward and widely used meth...
The use of a single grey intensity threshold is one of the most straightforward and widely used meth...
Abstract3D reconstruction of face is one of the advancements in physical modeling techniques which u...
Introduction: Individual planning of complex maxillofacial corrections may require 3D models which c...
The present study describes a strategy to produce patient-specific skull base rep-lica with realisti...
The accuracy of three-dimensional (3D) facial skeletal surface models derived from radiographic volu...
Computerized treatment planning is routinely used in cranio-maxillofacial applications. For these th...
We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset ...
Clinical procedures that are conventionally guided by 2D x-ray imaging, may benefit from the additio...
Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...