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63 results about "Time intensity curve" patented technology

Time-intensity curves (TIC) The time-intensity curve tool allows you to visualize the lesions' enhancement behavior (e.g. in Breast MRI) by plotting the signal intensity values over time after the administration of contrast material.

Time intensity characteristic-based computer aided method for diagnosing benign and malignant breast lesions

The invention discloses a time intensity characteristic-based computer aided method for diagnosing benign and malignant breast lesions, comprising the following steps of: selecting an image sequence layer with suspicious lesions from a DCE(Dynamic Contrast-Enhanced)-MRI (Magnetic Resonance Imaging) image sequence set; carrying out denoising and filtering treatment on each image layer and acquiring a photographic subtraction sequence of the layer; determining a time intensity curve according to the photographic subtraction sequence of the layer; analyzing the characteristic of the time intensity curve and giving out a diagnosis result of the layer, namely a preliminary diagnosis result of the lesion; and fusing diagnosis results of the time intensity curves for different layers to give out a final lesion diagnosis result. According to the time intensity characteristic-based computer aided method disclosed by the invention, by comprehensively analyzing the characteristic of the time intensity curve on each layer, the accuracy of benign and malignant diagnosis of the lesions can be greatly improved for assisting clinical diagnosis for breast diseases and further the misdiagnosis rate is reduced.
Owner:DALIAN UNIV OF TECH

Respiratory motion compensation and bimodal fitting method for time intensity curve

The invention provides a respiratory motion compensation and bimodal fitting method for a time intensity curve. The method comprises the following steps: based on a block matching method taking a accumulative absolute error as a standard, carrying out respiratory motion compensation for the time intensity curve extracted from a serial B ultrasound contrastographic picture, and then carrying out pretreatment by utilizing frequency domain filtering, time domain filtering and baseline zeroing; carrying out recycling peak fitting determination for the pretreated time intensity curve; if a recycling peak exists, carrying out recycling peak fitting, outputting a result after motion compensation and bimodal fitting, and outputting the moment and the intensity of a recycling inflection point. The invention provides the respiratory motion compensation and bimodal fitting method for the time intensity curve and a microvesicle recycling inflection point identification method, so that the accuracy of TIC fitting is improved, and more accurate blood perfusion information can be obtained. A new method is possibly provided for detection of microcirculation clinically, and the method has an important significance on the evaluation of blood perfusion.
Owner:XI AN JIAOTONG UNIV

Method and system for stable and quantitative analysis of ultrasound contrast images

PendingCN110197472AReduce the impact of environmental changeImprove stabilityImage enhancementImage analysisSonificationCurve fitting
The invention discloses a method and a system for stable and quantitative analysis of ultrasound contrast images, which can solve the problems of target deformation, scale change and irregular motionin the tracking of points of interest of the ultrasound contrast image, and the stability and the accuracy of obtained contrast characteristic quantization parameters are high. The method comprises the steps of tracking a current frame in an ultrasound contrast image sequence based on adaptive color attributes and dimension reduction, and obtaining a tracking result comprising position and size information of a target area in a next frame; performing adaptive tracking strategy selection based on confidence evaluation, and performing whether a tracking result is stored and a next frame continues to be tracked based on adaptive color attributes and dimensionality decline or tracking again based on adaptive structure local sparse representation so as to obtain a tracking result is determined;and after all frames are processed, calculating a radiography intensity value according to the stored tracking result data, forming an original time intensity curve TIC, performing curve fitting, andcalculating radiography characteristic quantification parameters.
Owner:SICHUAN PROVINCIAL PEOPLES HOSPITAL
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