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Automated brain extraction and associated 3D inspection layers for the Rhesus macaque MRI datasets

Published: 03 December 2016 Publication History

Abstract

As we know, the rhesus macaque as a non-human primate is quite similar to human being in genetics. And it has become an essential animal model anatomy and physiology in many modern medicine research such as the cardiovascular and cerebrovascular diseases in recent years. This paper describes a pipeline from the raw rhesus macaque brain MRI data to intuitive 3D inspection its layers. Brain extraction is an initial step for subsequent analyses, but most of the existing methods so far are designed for human brain, which doesn't work well with the rhesus macaque. Firstly, we propose a reliable and efficient method to extract the brain from MRI datasets based on dividing the brain into blocks. Then, we design a trapezoid opacity transfer function based on CUDA-based real-time volume ray-casting, which is dedicated for the volume rendering to make the inspection more intuitive. Besides, the inspection of different tissues benefits understanding the volumetric datasets, so we also design layer filter for the segmented rhesus macaque brain datasets, which facilitates inspection of interior in ROI by an intuitive bimanual interaction via a Leap Motion sensor. Our experiments prove the usability and efficiency of the proposed methods.

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Cited By

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  • (2022)QuantumLeap, a Framework for Engineering Gestural User Interfaces based on the Leap Motion ControllerProceedings of the ACM on Human-Computer Interaction10.1145/35322116:EICS(1-47)Online publication date: 17-Jun-2022
  • (2020)MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey BrainFrontiers in Neuroinformatics10.3389/fninf.2020.0001414Online publication date: 28-Apr-2020

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    cover image ACM Conferences
    VRCAI '16: Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry - Volume 1
    December 2016
    381 pages
    ISBN:9781450346924
    DOI:10.1145/3013971
    • Conference Chairs:
    • Yiyu Cai,
    • Daniel Thalmann
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 03 December 2016

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    Author Tags

    1. 3D inspection
    2. Rhesus macaque
    3. bimanual gesture interaction
    4. brain extraction
    5. volume visualization

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    View all
    • (2022)QuantumLeap, a Framework for Engineering Gestural User Interfaces based on the Leap Motion ControllerProceedings of the ACM on Human-Computer Interaction10.1145/35322116:EICS(1-47)Online publication date: 17-Jun-2022
    • (2020)MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey BrainFrontiers in Neuroinformatics10.3389/fninf.2020.0001414Online publication date: 28-Apr-2020

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