Construction and Superimposition of 3D Surface Models IADR 2015
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Contents
Editing Construction and Superimposition of 3D Surface Models
Introduction
The superimposition of 3D surface models provide assessment of growth, changes with treatment, stability evaluation, improvement of the diagnosis allowing asymmetry evaluation, quantitative and qualitative analysis of skeletal and teeth displacement, TMJ evaluation, among other applications. Interpretation of the results depend on the structure of reference used for superimpositions or registration and it’s very important that the clinician is prepared and familiar with the technology, avoiding misunderstanding and incorrect interpretation of the image. This workshop will provide educators and clinicians with training for construction and superimposition of surface models by: (a) providing access to the National Alliance of Medical Image Computing (NA-MIC) and Dental and Craniofacial Bionetwork for Image Analysis (DCBIA) resources, which include software, documentation, and training materials (https://www.youtube.com/channel/UCQUtGe5KrpBt2k4mrNeHeUQ/videos); and (b) problem-solving activities
Date and Location
Wednesday March 11th , 3:15 p.m. - 4:45 p.m. Meeting Room 205 (Hynes Convention Center)
Workshop Content
The different presentations started with a presentation and a demonstration of the use of the tool The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers.
Tentative Agenda
3:15 PM - 3:20 PM Software development updates (Beatriz Paniagua) 3:20 PM - 3:25 PM Construction of surface models: A chair side perspective (Tung T. Nguyen) 3:25 PM - 3:30 PM Registration: remodeling and displacement in relative superimpositions (Lucia H. Cevidanes)
3.30 PM - 3.45 PM Installation
3.45 PM - 4.45 PM Hands-on workshop
4:45 PM Adjourn and final remarks
Preparation for the workshop
The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 1 GB of RAM (4 GB is better) and a graphic accelerator with 64mb (512MB is better) of on-board graphic memory is required. Shared memory graphics boards have significantly poorer performance.
