Three-Dimensional Computerized Brain Atlas For Elastic Matching: Creation And Initial Evaluation

1988 ◽  
Author(s):  
Robert Dann ◽  
John Hoford ◽  
Stane Kovacic ◽  
Martin Reivich ◽  
Ruzena Bajcsy
Keyword(s):  
Three Dimensional ◽  
Initial Evaluation ◽  
Brain Atlas

Design and Marker-Based Validation of a Biplane Fluoroscopy System for Studying the Foot and Ankle

2012 ◽  
Author(s):  
Joseph M. Iaquinto ◽  
Richard Tsai ◽  
Michael J. Fassbind ◽  
David R. Haynor ◽  
Bruce J. Sangeorzan ◽  
...  
Keyword(s):  
Precise Measurement ◽  
Three Dimensional ◽  
The Body ◽  
Initial Evaluation ◽  
Foot And Ankle ◽  
Research Groups ◽  
The Past ◽  
Model Based ◽  
Biplane Fluoroscopy ◽  
Model Based Analysis

The ability to accurately measure three dimensional (3D) bone kinematics is key to understanding the motion of the joints of the body, and how such motion is altered by injury, disease, and treatment. Precise measurement of such kinematics is technically challenging. Biplane fluoroscopy is ideally suited to measure bone motion. Such systems have been developed in the past for both radiographic stereo-photogrammetric analysis (RSA) [1] and the more challenging model-based analysis [2]. Research groups have studied the knee [3,4], shoulder [5] and ankle [6] motion with similar techniques. The work presented here is an initial evaluation of the performance of our system, i.e., a validation that this in-house system can detect magnitudes of motion on-par with other existing systems.

A three-dimensional single-cell-resolution whole-brain atlas using CUBIC-X expansion microscopy and tissue clearing

2018 ◽  
Vol 21 (4) ◽  
pp. 625-637 ◽  
Author(s):  
Tatsuya C. Murakami ◽  
Tomoyuki Mano ◽  
Shu Saikawa ◽  
Shuhei A. Horiguchi ◽  
Daichi Shigeta ◽  
...  
Keyword(s):  
Single Cell ◽  
Three Dimensional ◽  
Brain Atlas ◽  
Whole Brain ◽  
Tissue Clearing

scholarly journals A Three-Dimensional Stereotaxic MRI Brain Atlas of the Cichlid Fish Oreochromis mossambicus

PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e44086 ◽  
Author(s):  
José M. Simões ◽  
Magda C. Teles ◽  
Rui F. Oliveira ◽  
Annemie Van der Linden ◽  
Marleen Verhoye
Keyword(s):  
Three Dimensional ◽  
Cichlid Fish ◽  
Oreochromis Mossambicus ◽  
Brain Atlas ◽  
Mri Brain

scholarly journals Automatic navigation system for the mouse brain

2018 ◽  
Author(s):  
Susan J. Tappan ◽  
Brian S. Eastwood ◽  
Nathan O’Connor ◽  
Quanxin Wang ◽  
Lydia Ng ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Digital Image ◽  
Navigation System ◽  
Three Dimensional ◽  
Brain Regions ◽  
Brain Atlas ◽  
Brain Section ◽  
Observer Error ◽  
Novel Technology ◽  
Experimental Mouse

Identification and delineation of brain regions in histologic mouse brain sections is especially pivotal for many neurogenomics, transcriptomics, proteomics and connectomics studies, yet this process is prone to observer error and bias. Here we present a novel brain navigation system, named NeuroInfo, whose general principle is similar to that of a global positioning system (GPS) in a car. NeuroInfo automatically navigates an investigator through the complex microscopic anatomy of histologic sections of mouse brains (thereafter: “experimental mouse brain sections”). This is achieved by automatically registering a digital image of an experimental mouse brain section with a three-dimensional (3D) digital mouse brain atlas that is essentially based on the third version of the Allen Mouse Brain Common Coordinate Framework (CCF v3), retrieving graphical region delineations and annotations from the 3D digital mouse brain atlas, and superimposing this information onto the digital image of the experimental mouse brain section on a computer screen. By doing so, NeuroInfo helps in solving the long-standing problem faced by researchers investigating experimental mouse brain sections under a light microscope—that of correctly identifying the distinct brain regions contained within the experimental mouse brain sections. Specifically, NeuroInfo provides an intuitive, readily-available computer microscopy tool to enhance researchers’ ability to correctly identify specific brain regions in experimental mouse brain sections. Extensive validation studies of NeuroInfo demonstrated that this novel technology performs remarkably well in accurately delineating regions that are large and/or located in the dorsal parts of mouse brains, independent on whether the sections were imaged with fluorescence or brightfield microscopy. This novel navigation system provides a highly efficient way for registering a digital image of an experimental mouse brain section with the 3D digital mouse brain atlas in a minute and accurate delineation of the image in real-time.

Three-Dimensional Interactive and Stereotactic Human Brain Atlas of White Matter Tracts

2011 ◽  
Vol 10 (1) ◽  
pp. 33-55 ◽  
Author(s):  
Wieslaw L. Nowinski ◽  
Beng Choon Chua ◽  
Guo Liang Yang ◽  
Guo Yu Qian
Keyword(s):  
White Matter ◽  
Human Brain ◽  
Three Dimensional ◽  
Brain Atlas ◽  
White Matter Tracts

Three-dimensional Talairach-Tournoux brain atlas

1995 ◽  
Author(s):  
Anthony Fang ◽  
Wieslaw L. Nowinski ◽  
Bonnie T. Nguyen ◽  
R. Nick Bryan
Keyword(s):  
Three Dimensional ◽  
Brain Atlas

scholarly journals High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology

2021 ◽  
Author(s):  
Kadharbatcha S Saleem ◽  
Alexandru V Avram ◽  
Daniel Glen ◽  
Cecil Chern-Chyi Yen ◽  
Frank Q Ye ◽  
...  
Keyword(s):  
High Resolution ◽  
Ex Vivo ◽  
Three Dimensional ◽  
Brain Structures ◽  
Macaque Monkey ◽  
Three Dimensions ◽  
Brain Atlas ◽  
Fiber Tracts ◽  
Subcortical Regions ◽  
Deep Brain

Subcortical nuclei and other deep brain structures are known to play an important role in the regulation of the central and peripheral nervous systems. It can be difficult to identify and delineate many of these nuclei and their finer subdivisions in conventional MRI due to their small size, buried location, and often subtle contrast compared to neighboring tissue. To address this problem, we applied a multi-modal approach in ex vivo non-human primate (NHP) brain that includes high-resolution mean apparent propagator (MAP)-MRI and five different histological stains imaged with high-resolution microscopy in the brain of the same subject. By registering these high-dimensional MRI data to high-resolution histology data, we can map the location, boundaries, subdivisions, and micro-architectural features of subcortical gray matter regions in the macaque monkey brain. At high spatial resolution, diffusion MRI in general, and MAP-MRI in particular, can distinguish a large number of deep brain structures, including the larger and smaller white matter fiber tracts as well as architectonic features within various nuclei. Correlation with histology from the same brain enables a thorough validation of the structures identified with MAP-MRI. Moreover, anatomical details that are evident in images of MAP-MRI parameters are not visible in conventional T1-weighted images. We also derived subcortical template SC21 from segmented MRI slices in three-dimensions and registered this volume to a previously published anatomical template with cortical parcellation (Reveley et al., 2017; Saleem and Logothetis, 2012), thereby integrating the 3D segmentation of both cortical and subcortical regions into the same volume. This newly updated three-dimensional D99 digital brain atlas (V2.0) is intended for use as a reference standard for macaque neuroanatomical, functional, and connectional imaging studies, involving both cortical and subcortical targets. The SC21 and D99 digital templates are available as volumes and surfaces in standard NIFTI and GIFTI formats.

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