Automatic Model-guided Segmentation of the Human Brain Ventricular System From CT Images

In order to effectively improve the pathological diagnosis capability and feature resolution of 3D human brain CT images, a threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is proposed in this paper. In this method, first, original 3D human brain image information is collected, and CT image filtering is performed to the collected information through the gradient value decomposition method, and edge contour features of the 3D human brain CT image are extracted. Then, the threshold segmentation method is adopted to segment the regional pixel feature block of the 3D human brain CT image to segment the image into block vectors with high-resolution feature points, and the 3D human brain CT image is reconstructed with the salient feature point as center. Simulation results show that the method proposed in this paper can provide accuracy up to 100% when the signal-to-noise ratio is 0, and with the increase of signal-to-noise ratio, the accuracy provided by this method is stable at 100%. Comparison results show that the threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is significantly better than traditional methods in pathological feature estimation accuracy, and it effectively improves the rapid pathological diagnosis and positioning recognition abilities to CT images.

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Modeling the dose distribution in a human brain structure using CT images on the surface of Mars

10.5194/egusphere-egu2020-21840 ◽

2020 ◽

Author(s):

Salman Khaksarighiri ◽

Jingnan Guo ◽

Robert Wimmer-Schweingruber ◽

Lennart Rostl

Keyword(s):

Radiation Dose ◽

Human Brain ◽

Brain Structure ◽

Dose Distribution ◽

Cosmic Radiation ◽

Cosmic Ray ◽

Ct Images ◽

Human Brains ◽

The Impact ◽

The Brain

<p>One of the most important steps in the near-future space age will be a manned mission to Mars. Unfortunately, such a mission will cause astronauts to be exposed to unavoidable cosmic radiation in deep space and on the surface of Mars. Thus a better understanding of the radiation environment for a Mars mission and the consequent biological impacts on humans, in particular the human brains, is critical. To investigate the impact of cosmic radiation on human brains and the potential influence on the brain functions, we model and study the cosmic particle-induced radiation dose in a realistic head structure. Specifically speaking, 134 slices of computed tomography (CT) images of an actual human head have been used as a 3D phantom in Geant4 (GEometry ANd Tracking) which is a Monte Carlo tool simulating energetic particles impinging into different parts of the brain and deliver radiation dose therein. As a first step, we compare the influence of different brain structures (e.g., with or without bones, with or without soft tissues) to the resulting dose therein to demonstrate the necessity of using a realistic brain structure for our investigation. Afterwards, we calculate energy-dependent functions of dose distribution for the most important (most abundant and most biologically-relevant) particle types encountered in space and on Mars such as protons, Helium ions and neutrons. These functions are then used to fold with Galactic Cosmic Ray (GCR) spectra on the surface of Mars for obtaining the dose rate distribution at different lobes of the human brain. Different GCR spectra during various solar cycle conditions have also been studied and compared.</p>

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A new approach for classification of human brain CT images based on morphological operations

Journal of Biomedical Science and Engineering ◽

10.4236/jbise.2010.31011 ◽

2010 ◽

Vol 03 (01) ◽

pp. 78-82 ◽

Cited By ~ 8

Author(s):

Ali Reza Fallahi ◽

Mohammad Pooyan ◽

Hassan Khotanlou

Keyword(s):

Human Brain ◽

Ct Images ◽

Morphological Operations ◽

New Approach ◽

Brain Ct

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A scanning electron microscopic survey of the brain ventricular system of the female armadillo

Cell and Tissue Research ◽

10.1007/bf00225665 ◽

1977 ◽

Vol 183 (4) ◽

Cited By ~ 5

Author(s):

JohnJ. Jacobs ◽

KevinD. Monroe

Keyword(s):

Ventricular System ◽

Electron Microscopic ◽

Scanning Electron Microscopic ◽

Brain Ventricular System ◽

The Brain ◽

Scanning Electron

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Impermeability of the Blood—Cerebrospinal Fluid Barrier for Angiotensin II in Rats

Clinical Science ◽

10.1042/cs051399s ◽

1976 ◽

Vol 51 (s3) ◽

pp. 399s-402s ◽

Cited By ~ 7

Author(s):

P. Schelling ◽

J. S. Hutchinson ◽

U. Ganten ◽

G. Sponer ◽

D. Ganten

Keyword(s):

Cerebrospinal Fluid ◽

Angiotensin Ii ◽

Intravenous Infusion ◽

Ventricular System ◽

Cisterna Magna ◽

Biochemical Methods ◽

Intravenous Infusions ◽

Artificial Cerebrospinal Fluid ◽

Brain Ventricular System ◽

The Brain

1. Anaesthetized, nephrectomized rats were infused intravenously with unlabelled angiotensin II (AII) or with [3H]angiotensin II (3H-labelled AII). The brain ventricular system was perfused with artificial cerebrospinal fluid. The perfusate was collected from the cisterna magna and analysed for AII by radioimmunological and biochemical methods. 2. No increase of immunoreactive AII in cerebrospinal fluid could be shown during intravenous infusion of AII. 3. During intravenous infusions of 3H-labelled AII at pressor doses small amounts of radioactivity were found in cerebrospinal fluid perfusate. 4. The radioactivity of cerebrospinal fluid outflow could not be related to AII.

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