Literature DB >> 21976457

Virtual cerebral ventricular system: an MR-based three-dimensional computer model.

Christina M Adams1, Timothy D Wilson.   

Abstract

The inherent spatial complexity of the human cerebral ventricular system, coupled with its deep position within the brain, poses a problem for conceptualizing its anatomy. Cadaveric dissection, while considered the gold standard of anatomical learning, may be inadequate for learning the anatomy of the cerebral ventricular system; even with intricate dissection, ventricular structures remain difficult to observe. Three-dimensional (3D) computer reconstruction of the ventricular system offers a solution to this problem. This study aims to create an accurate 3D computer reconstruction of the ventricular system with surrounding structures, including the brain and cerebellum, using commercially available 3D rendering software. Magnetic resonance imaging (MRI) scans of a male cadaver were segmented using both semiautomatic and manual tools. Segmentation involves separating voxels of different grayscale values to highlight specific neural structures. User controls enable adding or removing of structures, altering their opacity, and making cross-sectional slices through the model to highlight inner structures. Complex physiologic concepts, such as the flow of cerebrospinal fluid, are also shown using the 3D model of the ventricular system through a video animation. The model can be projected stereoscopically, to increase depth perception and to emphasize spatial relationships between anatomical structures. This model is suited for both self-directed learning and classroom teaching of the 3D anatomical structure and spatial orientation of the ventricles, their connections, and their relation to adjacent neural and skeletal structures.
Copyright © 2011 American Association of Anatomists.

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Mesh:

Year:  2011        PMID: 21976457     DOI: 10.1002/ase.256

Source DB:  PubMed          Journal:  Anat Sci Educ        ISSN: 1935-9772            Impact factor:   5.958


  6 in total

1.  Creating vascular models by postprocessing computed tomography angiography images: a guide for anatomical education.

Authors:  Figen Govsa; Mehmet Asim Ozer; Suzan Sirinturk; Cenk Eraslan; Ahmet Kemal Alagoz
Journal:  Surg Radiol Anat       Date:  2017-02-06       Impact factor: 1.246

Review 2.  Principles and applications of the balanced steady-state free precession sequence in small animal low-field MRI.

Authors:  Mario Ricciardi
Journal:  Vet Res Commun       Date:  2018-01-04       Impact factor: 2.459

3.  Crisis Management Simulation: Review of Current Experience.

Authors:  Coulter Small; Divine Nwafor; Devan Patel; Fakhry Dawoud; Abeer Dagra; Jeremy Ciporen; Brandon Lucke-Wold
Journal:  SunText Rev Neurosci Psychol       Date:  2021-03-27

4.  Computer-based learning: interleaving whole and sectional representation of neuroanatomy.

Authors:  John R Pani; Julia H Chariker; Farah Naaz
Journal:  Anat Sci Educ       Date:  2012-07-03       Impact factor: 5.958

5.  A recommended workflow methodology in the creation of an educational and training application incorporating a digital reconstruction of the cerebral ventricular system and cerebrospinal fluid circulation to aid anatomical understanding.

Authors:  Amy Manson; Matthieu Poyade; Paul Rea
Journal:  BMC Med Imaging       Date:  2015-10-19       Impact factor: 1.930

6.  Virtual Reality in Medical Students' Education: Scoping Review.

Authors:  Haowen Jiang; Sunitha Vimalesvaran; Jeremy King Wang; Kee Boon Lim; Sreenivasulu Reddy Mogali; Lorainne Tudor Car
Journal:  JMIR Med Educ       Date:  2022-02-02
  6 in total

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