Unlock instant, AI-driven research and patent intelligence for your innovation.

Methods and compositions for objectively characterizing medical images

A medical image, objective technology, applied in the direction of radiological diagnostic equipment, medical formula, image analysis, etc., can solve meaningless problems

Inactive Publication Date: 2018-10-02
A·安那普拉加达 +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for several reasons, the two-dimensional autocorrelation function is practically meaningless in the context of three-dimensional (3-D) images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Methods and compositions for objectively characterizing medical images
  • Methods and compositions for objectively characterizing medical images
  • Methods and compositions for objectively characterizing medical images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Embodiment 1-preparation double Gd liposome

[0032] A lipid mixture comprising DPPC, Gd-DTPA-BSA, cholesterol, and mPEG2000-DSPE in a molar ratio of 30:25:40:5 was dissolved in a chloroform:methanol (1:1 v / v) mixture. The solvent mixture was evaporated to dryness under vacuum and treated with gadobeglumine ( Gd-BOPTA, 500 mM Gd, Bracco Diagnostics Inc., Monroe Township, NJ) solution to hydrate the lipid content to achieve a lipid concentration of 40 mM. The solution was stirred at 60 °C for 90 min and then passed sequentially through 400 nm NUCLEPORE TM membrane Extruded five times through 200nm NUCLEPORE TM The film was extruded seven times and passed through a 100nm NUCLEPORE TM The film was extruded ten times. Using a molecular weight cut-off of 500kDa The resulting solution was diafiltered by a module (Spectrum Laboratories, RanchoDominguez, CA) to remove unencapsulated and unchelated Gd chelate molecules. Size analysis of the liposomes indicated that th...

Embodiment 2

[0033] Example 2 - MRI of mouse brain vasculature

[0034] Cerebral angiograms were obtained in C57BL / 6 mice intravenously injected with double Gd liposomes of Example 1 at a dose of 200 mg lipid / kg. Using Fast Spoilt Gradient (FSPGR) study using 512 3 Imaging was performed with the image matrix and the following parameters: repetition time (TR) = 20.0ms; echo time (TE) = 3ms; flip angle (FA) = 30°; field of view (FOV) = 30mm×30mm×30mm; Anisotropic images with a voxel size of 60 μ. figure 1 MRI image showing the vasculature of the mouse cranium. exist figure 1 In , the entire cranial vasculature is clearly visible, including the circle of Willis and microvessels around the 4th generation bifurcation through the carotid artery.

Embodiment 3

[0035] Example 3 - Morphometric Analysis

[0036] To test the sensitivity of the three morphometric techniques (multifractality, missingness, and two-dimensional autocorrelation), algorithms were implemented for each technique in MATLAB (MathWorks, Natick, MA). Use from figure 1 A two-dimensional section of the mouse brain vasculature, and shown in figure 2 middle. T1-weighted images with liposome contrast were windowed to show vascular signal but no soft tissue contrast. The section is at the right rostral process relative to the midline and includes vasculature in the thalamic and hippocampal sections. To test the sensitivity of morphometric measurements to the presence of vascular malformations, slice images were digitally processed to introduce subthreshold "holes". These holes are created when amyloid plaque deposits distort blood vessels. Three of the described cases were produced, one of which produced a single large hole of approximately 1mm x 0.5mm in the sect...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
diameteraaaaaaaaaa
diameteraaaaaaaaaa
diameteraaaaaaaaaa
Login to View More

Abstract

The present invention provides methods and compositions for objectively characterizing medical images. The method comprises: introducing a contrast enhancing agent into the patient; performing magnetic resonance imaging on the patient to obtain an image; and applying a three-dimensional autocorrelation function to a subfield of interest in the image to obtain at least one three-dimensional autocorrelation Spectrum. The method may further comprise comparing the at least one three-dimensional autocorrelation spectrum with a pre-existing three-dimensional autocorrelation spectrum specific to the pathological lesion. In one example, the methods and compositions are useful for identifying and objectively characterizing amyloid plaque deposits that are characteristic of Alzheimer's disease.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Provisional Patent Application No. 61 / 589,165, filed January 20, 2012, which is hereby incorporated by reference in its entirety. Background of the invention [0003] Medical images are routinely acquired for screening, diagnosis and treatment of many diseases. There are a variety of imaging techniques including, for example, magnetic resonance imaging (MRI), x-rays, computed tomography (CT), ultrasound imaging, and nuclear medicine. Specifically, MRI, X-ray and CT produce images of anatomical structures such as pathological lesions. [0004] A limitation of existing imaging techniques is that few methods can objectively characterize the imaged structures (in the case of pathological lesions) without the need for human interpretation. One attempted method for objective image analysis is the two-dimensional (2-D) autocorrelation function. However, two-dimensional autocorrelation f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCA61K49/103A61K49/143A61K49/1812A61B6/5217A61B5/4088A61B5/055A61B6/481A61B6/032A61B6/501A61B5/0042G16H50/30A61B6/5247A61B5/0035A61B6/4417A61M5/007A61K49/04A61K49/128A61B5/4064G01R33/1276A61K49/0093G01R33/1269A61K49/0002A61K49/0084G06T7/35G06T7/32G06T2207/10088G06T2207/30016G06T7/00G01R33/5601G06T7/0012G01R33/20G06T7/0008
Inventor Z·斯特罗索斯基
Owner A·安那普拉加达