Literature DB >> 30242780

3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses.

Asli Beril Karakas1, Figen Govsa2,3, Mehmet Asım Ozer1, Cenk Eraslan4.   

Abstract

The three-dimensional (3D) visualization of dural venous sinuses (DVS) networks is desired by surgical trainers to create a clear mental picture of the neuroanatomical orientation of the complex cerebral anatomy. Our purpose is to document those identified during routine 3D venography created through 3D models using two-dimensional axial images for teaching and learning neuroanatomy. Anatomical data were segmented and extracted from imaging of the DVS of healthy people. The digital data of the extracted anatomical surfaces was then edited and smoothed, resulting in a set of digital 3D models of the superior sagittal, inferior sagittal, transverse, and sigmoid, rectus sinuses, and internal jugular veins. A combination of 3D printing technology and casting processes led to the creation of realistic neuroanatomical models that include high-fidelity reproductions of the neuroanatomical features of DVS. The life-size DVS training models were provided good detail and representation of the spatial distances. Geometrical details between the neighboring of DVS could be easily manipulated and explored from different angles. A graspable, patient-specific, 3D-printed model of DVS geometry could provide an improved understanding of the complex brain anatomy. These models have various benefits such as the ability to adjust properties, to convert two-dimension images of the patient into three-dimension images, to have different color options, and to be economical. Neuroanatomy experts can model such as the reliability and validity of the designed models, enhance patient satisfaction with improved clinical examination, and demonstrate clinical interventions by simulation; thus, they teach neuroanatomy training with effective teaching styles.

Entities:  

Keywords:  3D neuroanatomical models; Brain imaging; Clinical skills; Dural venous sinuses; Minimally invasive neurosurgery; Neurosurgical education; Surgical trainers

Year:  2019        PMID: 30242780      PMCID: PMC6456638          DOI: 10.1007/s10278-018-0125-4

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  32 in total

Review 1.  Building virtual models by postprocessing radiology images: A guide for anatomy faculty.

Authors:  Matthew D B S Tam
Journal:  Anat Sci Educ       Date:  2010 Sep-Oct       Impact factor: 5.958

2.  Effectiveness of using cross-sections in the recognition of anatomical structures in radiological images.

Authors:  Mohammed K Khalil; Andrew F Payer; Tristan E Johnson
Journal:  Anat Rec B New Anat       Date:  2005-03

3.  Single-Session Hematoma Removal and Transcranial Coil Embolization for a Cavernous Sinus Dural Arteriovenous Fistula: A Technical Case Report.

Authors:  Yosuke Akamatsu; Kenichi Sato; Hidenori Endo; Yasushi Matsumoto; Teiji Tominaga
Journal:  World Neurosurg       Date:  2017-04-11       Impact factor: 2.104

4.  Model-based simulation for early neurosurgical learners.

Authors:  Nathan R Selden; Thomas C Origitano; Costas Hadjipanayis; Richard Byrne
Journal:  Neurosurgery       Date:  2013-10       Impact factor: 4.654

5.  Using 3D Printing to Create Personalized Brain Models for Neurosurgical Training and Preoperative Planning.

Authors:  Caitlin C Ploch; Chris S S A Mansi; Jayaratnam Jayamohan; Ellen Kuhl
Journal:  World Neurosurg       Date:  2016-02-24       Impact factor: 2.104

6.  Ventriculostomy Simulation Using Patient-Specific Ventricular Anatomy, 3D Printing, and Hydrogel Casting.

Authors:  Justin R Ryan; Tsinsue Chen; Peter Nakaji; David H Frakes; L Fernando Gonzalez
Journal:  World Neurosurg       Date:  2015-06-20       Impact factor: 2.104

7.  Cerebral MR venography: normal anatomy and potential diagnostic pitfalls.

Authors:  R H Ayanzen; C R Bird; P J Keller; F J McCully; M R Theobald; J E Heiserman
Journal:  AJNR Am J Neuroradiol       Date:  2000-01       Impact factor: 3.825

8.  A novel three-dimensional tool for teaching human neuroanatomy.

Authors:  Maureen E Estevez; Kristen A Lindgren; Peter R Bergethon
Journal:  Anat Sci Educ       Date:  2010-10-11       Impact factor: 5.958

9.  Creation of a novel simulator for minimally invasive neurosurgery: fusion of 3D printing and special effects.

Authors:  Peter Weinstock; Roberta Rehder; Sanjay P Prabhu; Peter W Forbes; Christopher J Roussin; Alan R Cohen
Journal:  J Neurosurg Pediatr       Date:  2017-04-25       Impact factor: 2.375

10.  Quality improvement of surface triangular mesh using a modified Laplacian smoothing approach avoiding intersection.

Authors:  Tiantian Liu; Minxin Chen; Yu Song; Hongliang Li; Benzhuo Lu
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

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  4 in total

1.  Application of three-dimensional reconstruction and printing as an elective course for undergraduate medical students: an exploratory trial.

Authors:  Xiaoqin Zhang; Zhou Xu; Liwen Tan; Ying Li; Li Liu; Na Chen; Shaoxiang Zhang; Wouter H Lamers; Chunling Wu; Yi Wu
Journal:  Surg Radiol Anat       Date:  2019-04-27       Impact factor: 1.246

2.  Systematic review of three-dimensional printing for simulation training of interventional radiology trainees.

Authors:  Chase Tenewitz; Rebecca T Le; Mauricio Hernandez; Saif Baig; Travis E Meyer
Journal:  3D Print Med       Date:  2021-04-21

3.  Immersive photoreal new-age innovative gameful pedagogy for e-ophthalmology with 3D augmented reality.

Authors:  Prasanna V Ramesh; K Aji; Tensingh Joshua; Shruthy V Ramesh; Prajnya Ray; Pragash M Raj; Meena K Ramesh; Ramesh Rajasekaran
Journal:  Indian J Ophthalmol       Date:  2022-01       Impact factor: 1.848

Review 4.  Direct drainage of the basal vein of Rosenthal into the superior petrosal sinus: a literature review.

Authors:  Santiago Gutierrez; Joe Iwanaga; Aaron S Dumont; R Shane Tubbs
Journal:  Anat Cell Biol       Date:  2020-12-31
  4 in total

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