Literature DB >> 15653601

Informatics in Radiology (infoRAD): three-dimensional atlas of the brain anatomy and vasculature.

Wieslaw L Nowinski1, A Thirunavuukarasuu, Ihar Volkau, Rafail Baimuratov, Qingmao Hu, Aamer Aziz, Su Huang.   

Abstract

Of the existing atlases of the brain anatomy and cerebrovasculature, none integrates the anatomy and vasculature by providing for direct manipulation of three-dimensional (3D) cerebral models. An atlas-based application was developed in four steps: (a) construction of 3D anatomic models, (b) construction of 3D vascular models, (c) interactive spatial coregistration of the anatomic and vascular models, and (d) development of functionality and a user interface for the application. Three-dimensional anatomic models were imported from an electronic brain atlas database derived from classic print atlases. A novel vascular modeling technique was developed and applied to create a vascular atlas from magnetic resonance angiographic data. The use of 3D polygonal models allows smooth navigation (rotation, zooming, panning) and interactive labeling of anatomic structures and vascular segments. This application enables the user to examine 3D anatomic structures and 3D cerebral vasculature and to gain a better understanding of the relationships between the two. The combined anatomic-vascular atlas is a user-friendly neuroeducational tool that is useful for medical students and neuroscience researchers as well as for educators in preparing teaching materials. (c) RSNA, 2005.

Mesh:

Year:  2005        PMID: 15653601     DOI: 10.1148/rg.251045051

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  7 in total

Review 1.  The cerefy brain atlases: continuous enhancement of the electronic talairach-tournoux brain atlas.

Authors:  Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2005

2.  A medical imaging and visualization toolkit in Java.

Authors:  Su Huang; Rafail Baimouratov; Pengdong Xiao; Anand Ananthasubramaniam; Wieslaw L Nowinski
Journal:  J Digit Imaging       Date:  2006-03       Impact factor: 4.056

3.  What is where and why it is important.

Authors:  Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2007-02-21       Impact factor: 6.556

4.  A 3D model of human cerebrovasculature derived from 3T magnetic resonance angiography.

Authors:  Wieslaw L Nowinski; Ihar Volkau; Yevgen Marchenko; A Thirunavuukarasuu; Ting Ting Ng; Val M Runge
Journal:  Neuroinformatics       Date:  2008-11-18

5.  Canine neuroanatomy: Development of a 3D reconstruction and interactive application for undergraduate veterinary education.

Authors:  Hazel Raffan; Julien Guevar; Matthieu Poyade; Paul M Rea
Journal:  PLoS One       Date:  2017-02-13       Impact factor: 3.240

6.  Neuroanatomy Learning: Augmented Reality vs. Cross-Sections.

Authors:  Dylan J H A Henssen; Loes van den Heuvel; Guido De Jong; Marc A T M Vorstenbosch; Anne-Marie van Cappellen van Walsum; Marianne M Van den Hurk; Jan G M Kooloos; Ronald H M A Bartels
Journal:  Anat Sci Educ       Date:  2019-07-19       Impact factor: 5.958

7.  Mixed-methods exploration of students' motivation in using augmented reality in neuroanatomy education with prosected specimens.

Authors:  Kerem A Bölek; Guido De Jong; Catharina E E M Van der Zee; Anne-Marie van Cappellen van Walsum; Dylan J H A Henssen
Journal:  Anat Sci Educ       Date:  2021-11-16       Impact factor: 6.652

  7 in total

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