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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Deformations in a Transverse Cross Section01:21

Deformations in a Transverse Cross Section

When a material is subjected to uniaxial stress, it elongates or contracts in the direction of the applied force, and also undergoes changes in the perpendicular directions. This behavior is crucial for understanding how materials behave under stress and is governed by mechanical properties such as Poisson's ratio v, which measures the ratio of transverse strain to axial strain.
As the material stretches, it expands or contracts in orthogonal directions to the load. This phenomenon varies...

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Multivariate tensor-based brain anatomical surface morphometry via holomorphic one-forms.

Yalin Wang1, Tony F Chan, Arthur W Toga

  • 1Lab. of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA. ylwang@loni.ucla.edu

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|April 30, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new brain anatomy analysis method using tensor-based surface morphometry. The technique effectively detects brain surface abnormalities in conditions like Alzheimer's Disease and HIV/AIDS.

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Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Computational Anatomy

Background:

  • Assessing brain anatomy changes is crucial for understanding neurological disorders.
  • Traditional methods may not capture complex surface deformations.
  • Advanced morphometric techniques are needed for precise analysis.

Purpose of the Study:

  • To introduce a novel multivariate tensor-based surface morphometry framework.
  • To analyze brain surface anatomy using holomorphic one-forms and Riemannian metric tensors.
  • To detect and characterize brain surface abnormalities in various neurological conditions.

Main Methods:

  • Developed a framework using multivariate tensor-based surface morphometry.
  • Employed holomorphic one-forms for surface conformal parameterizations.
  • Computed new statistics from Riemannian metric tensors, retaining full deformation information.
  • Applied the method to 3D MRI data for hippocampal, lateral ventricular, and cortical surface analysis.

Main Results:

  • The proposed method successfully detected brain surface abnormalities in Alzheimer's Disease, HIV/AIDS, and Williams Syndrome datasets.
  • Multivariate statistics on local tensors demonstrated superior performance compared to existing tensor-based morphometry (TBM) methods.
  • Outperformed analyses based on Jacobian determinant and eigenvalues of the surface Jacobian matrix.

Conclusions:

  • The introduced method provides a powerful tool for analyzing brain surface anatomy.
  • This approach enhances the detection of subtle and complex morphological changes.
  • The framework shows significant potential for clinical applications in diagnosing and monitoring neurological diseases.