Interdimensional Travel: Visualisation of 3D-2D Transitions in Anatomy Learning

Adv Exp Med Biol. 2020:1235:103-116. doi: 10.1007/978-3-030-37639-0_6.

Abstract

Clinical image interpretation is one of the most challenging activities for students when they first arrive at medical school. Interpretation of clinical images concerns the identification of three-dimensional anatomical features in two-dimensional cross-sectional computed tomography (CT) and magnetic resonance imaging (MRI) images in axial, sagittal and coronal planes, and the recognition of structures in ultrasound and plain radiographs. We propose that a cognitive transition occurs when initially attempting to interpret clinical images, which requires reconciling known 3D structures with previously unknown 2D visual information. Additionally, we propose that this 3D-2D transition is required when integrating an understanding of superficial 2D surface landmarks with an appreciation of underlying 3D anatomical structures during clinical examinations.Based on educational theory and research findings, we recommend that 3D and 2D approaches should be simultaneously combined within radiological and surface anatomy education. With a view to this, we have developed and utilised digital and art-based methods to support the 3D-2D transition. We outline our observations and evaluations, and describe our practical implementation of these approaches within medical curricula to serve as a guide for anatomy educators. Furthermore, we define the theoretical underpinnings and evidence supporting the integration of 3D-2D approaches and the value of our specific activities for enhancing the clinical image interpretation and surface anatomy learning of medical students.

Keywords: 3D-2D transition; Artistic and art-based learning; Clinical image interpretation; Digital visualisation; Surface anatomy; Technology-enhanced learning.

Publication types

  • Review

MeSH terms

  • Anatomy / education*
  • Humans
  • Imaging, Three-Dimensional*
  • Learning
  • Magnetic Resonance Imaging
  • Students, Medical*
  • Tomography, X-Ray Computed