Development of Integrated 3-Dimensional Computer Graphics Human Head Model.

3-dimensional fusion images Cadaveric dissection Computer graphics Human anatomy Neuroanatomy Virtual reality

Journal

Operative neurosurgery (Hagerstown, Md.)
ISSN: 2332-4260
Titre abrégé: Oper Neurosurg (Hagerstown)
Pays: United States
ID NLM: 101635417

Informations de publication

Date de publication:
13 05 2021
Historique:
received: 14 08 2020
accepted: 11 12 2020
pubmed: 8 3 2021
medline: 22 6 2021
entrez: 7 3 2021
Statut: ppublish

Résumé

Understanding the complex anatomy of neurostructures is very important in various stages of medical education, from medical students to experienced neurosurgeons, and, ultimately, for the knowledge of human beings. To develop an interactive computer graphics (CG) anatomic head model and present the current progress. Based on the prior head 3-dimensional CG (3DCG) polygon model, 23 additional published papers and textbooks were consulted, and 2 neurosurgeons and 1 CG technician performed revision and additional polygon modeling. Three independent neurosurgeons scored the clear visibility of anatomic structures relevant to neurosurgical procedures (anterior petrosal and supracerebellar infratentorial approaches) in the integrated 3DCG model (i model) and patients' radiological images (PRIs) such as those obtained from computed tomography, magnetic resonance imaging, and angiography. The i model consisted of 1155 parts (.stl format), with a total of 313 763 375 polygons, including 10 times more information than the foundation model. The i model was able to illustrate complex and minute neuroanatomic structures that PRIs could not as well as extracranial structures such as paranasal sinuses. Our subjective analysis showed that the i model had better clear visibility scores than PRIs, particularly in minute nerves, vasculatures, and dural structures. The i model more clearly illustrates minute anatomic structures than PRIs and uniquely illustrates nuclei and fibers that radiological images do not. The i model complements cadaveric dissection by increasing accessibility according to spatial, financial, ethical, and social aspects and can contribute to future medical education.

Sections du résumé

BACKGROUND
Understanding the complex anatomy of neurostructures is very important in various stages of medical education, from medical students to experienced neurosurgeons, and, ultimately, for the knowledge of human beings.
OBJECTIVE
To develop an interactive computer graphics (CG) anatomic head model and present the current progress.
METHODS
Based on the prior head 3-dimensional CG (3DCG) polygon model, 23 additional published papers and textbooks were consulted, and 2 neurosurgeons and 1 CG technician performed revision and additional polygon modeling. Three independent neurosurgeons scored the clear visibility of anatomic structures relevant to neurosurgical procedures (anterior petrosal and supracerebellar infratentorial approaches) in the integrated 3DCG model (i model) and patients' radiological images (PRIs) such as those obtained from computed tomography, magnetic resonance imaging, and angiography.
RESULTS
The i model consisted of 1155 parts (.stl format), with a total of 313 763 375 polygons, including 10 times more information than the foundation model. The i model was able to illustrate complex and minute neuroanatomic structures that PRIs could not as well as extracranial structures such as paranasal sinuses. Our subjective analysis showed that the i model had better clear visibility scores than PRIs, particularly in minute nerves, vasculatures, and dural structures.
CONCLUSION
The i model more clearly illustrates minute anatomic structures than PRIs and uniquely illustrates nuclei and fibers that radiological images do not. The i model complements cadaveric dissection by increasing accessibility according to spatial, financial, ethical, and social aspects and can contribute to future medical education.

Identifiants

pubmed: 33677574
pii: 6156980
doi: 10.1093/ons/opab012
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

565-574

Informations de copyright

© Congress of Neurological Surgeons 2021.

Auteurs

Satoshi Kiyofuji (S)

Department of Neurosurgery, The University of Tokyo, Tokyo, Japan.

Taichi Kin (T)

Department of Neurosurgery, The University of Tokyo, Tokyo, Japan.

Yukinari Kakizawa (Y)

Department of Neurosurgery, Japanese Red Cross Society Suwa Hospital, Suwa, Japan.

Takehito Doke (T)

Kompath Inc, Tokyo, Japan.

Taisuke Masuda (T)

Department of Mechanical Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan.

Juli Yamashita (J)

Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology, Sapporo, Japan.

Naoyuki Shono (N)

Department of Neurosurgery, The University of Tokyo, Tokyo, Japan.

Hirofumi Nakatomi (H)

Department of Neurosurgery, The University of Tokyo, Tokyo, Japan.

Akio Morita (A)

Department of Neurosurgery, Nippon Medical School, Tokyo, Japan.

Kanako Harada (K)

Department of Mechanical Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan.

Nobuhito Saito (N)

Department of Neurosurgery, The University of Tokyo, Tokyo, Japan.

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