Scholarlink

Learning radiographic anatomy is challenging, as it requires the ability to mentally reconstruct the spatial organisation of anatomical structures from two-dimensional projections. This task is further complicated by the absence of major monocular depth cues that otherwise commonly help the brain interpret spatial relationships in conventional photographs and in the real world. Three-dimensional (3D) volumetric rendering is based on projecting a virtual light beam through a virtual object represented by a 3D matrix of scalar data. In this regard, volume renditions bear a fundamental similarity with plain radiographs, which are formed by X-ray beams traversing the body. It is thus theoretically possible to reconstruct plain radiograph-like images from computer tomography (CT) scan data, based on information on X-ray absorption across tissues provided by the latter. The present chapter explores the use of volumetric visualisations of craniofacial cone-beam CT scan data to create real-time interactive simulations of standard intraoral radiographic projections, in the context of teaching and learning radiographic anatomy. We describe the general principles of volumetric rendering and specific visualisation settings required for simulating radiographic images. It is shown that volumetric visualisations can reproduce the radiographic appearance of dental and support tissues, allowing for identification of major gross anatomical landmarks and structures characteristic to intraoral X-ray projections. Changes in X-ray projection angles can easily be simulated in real time by rotating and panning the scene, creating opportunities to experiment with concepts in oral radiography such as the motion parallax principle and the eggshell effect of corticated structures. In addition, simulated X-ray projections can be enriched with 3D annotation tags and sectional CT views to provide additional spatial references and 3D tracking of structures of interest. Strategies for distributing and exchanging volume-rendered scenes for learning practice and their limitations are discussed.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Real-Time Volumetric Visualisations of Cone-Beam Computed Tomography Scans as a Simulation Framework for Radiographic Anatomy Learning

  • 章节

  • 发表日期：

    2025年

查看全文
  • Eire Lopetegi,
  • Jon Jatsu Azkue

摘要

Learning radiographic anatomy is challenging, as it requires the ability to mentally reconstruct the spatial organisation of anatomical structures from two-dimensional projections. This task is further complicated by the absence of major monocular depth cues that otherwise commonly help the brain interpret spatial relationships in conventional photographs and in the real world. Three-dimensional (3D) volumetric rendering is based on projecting a virtual light beam through a virtual object represented by a 3D matrix of scalar data. In this regard, volume renditions bear a fundamental similarity with plain radiographs, which are formed by X-ray beams traversing the body. It is thus theoretically possible to reconstruct plain radiograph-like images from computer tomography (CT) scan data, based on information on X-ray absorption across tissues provided by the latter. The present chapter explores the use of volumetric visualisations of craniofacial cone-beam CT scan data to create real-time interactive simulations of standard intraoral radiographic projections, in the context of teaching and learning radiographic anatomy. We describe the general principles of volumetric rendering and specific visualisation settings required for simulating radiographic images. It is shown that volumetric visualisations can reproduce the radiographic appearance of dental and support tissues, allowing for identification of major gross anatomical landmarks and structures characteristic to intraoral X-ray projections. Changes in X-ray projection angles can easily be simulated in real time by rotating and panning the scene, creating opportunities to experiment with concepts in oral radiography such as the motion parallax principle and the eggshell effect of corticated structures. In addition, simulated X-ray projections can be enriched with 3D annotation tags and sectional CT views to provide additional spatial references and 3D tracking of structures of interest. Strategies for distributing and exchanging volume-rendered scenes for learning practice and their limitations are discussed.