CN103919552A - Water dispersion movement visualizing method - Google Patents
Water dispersion movement visualizing method Download PDFInfo
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- CN103919552A CN103919552A CN201310011853.0A CN201310011853A CN103919552A CN 103919552 A CN103919552 A CN 103919552A CN 201310011853 A CN201310011853 A CN 201310011853A CN 103919552 A CN103919552 A CN 103919552A
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Abstract
The invention relates to a method for analyzing magnetic resonance dispersion parameter drawings, that is, a water dispersion movement visualizing method, particularly, a method for analyzing parameter drawings in 32 dispersion tensor directions of 3T high field magnetic resonance. The water dispersion movement visualizing method is an important method for intracerebral water molecule dispersion movement pathophysiology changes for medical imaging diagnosis. According to the water dispersion movement visualizing method, the purpose is to overcome the defect of a method for artificially sketching region of interest (ROI), that is, defects that the method is high in subjectivity, poor in maneuverability, time and labor consuming, and incapability of objectively, rapid and accurately displaying an extracellular water molecule dispersion movement mode are overcome; a report about the analyzing method is absent interiorly.
Description
Technical field
The present invention relates to the analytical method of a kind of analysis of magnetic resonance dispersion parameter figure, it is water disperse campaign visualization method, the particularly Parameter Map analytical method of 32 of 3T high-field magnetic resonance dispersion tensor directions is important method of hydrone disperse campaign pathophysiological change in medical imaging diagnosis brain.
Background technology
2011, international scholar clearly proposes mild cognition impairment (Mild cognitive impairment, MCI) represent the preclinical phase of multiple cognitive disorder disease (dementia), will contribute to early treatment and reverse disease clinically to the etiology typing of MCI.But, because the neuropathologic change of multiple cognitive disorder disease is similar, in clinical diagnosis often by mistaken diagnosis.And in recent years, nuclear magnetic resonance becomes the important diagnosis supporting evidence of this class disease.Diffusion tensor imaging (DTI) has accurately locates the pathology damage position of brain cell and the ability of degree in live body.But slight at this pathological change of MCI phase, naked eyes None-identified image change, therefore, is badly in need of the analytical method of a kind of magnetic resonance dispersion parameter figure, i.e. water disperse campaign visualization method.
The DTI of 32 disperse directions of 3T high-field magnetic resonance has been carried out in our previous work, and the brain DTI Parameter Map of various cognitive disorder diseases is analyzed, find forgeing in type mild cognition impairment (aMCI) and Alzheimer (AD), Apparent diffusion coefficient numerical value (ADC) value rising Nao district has the inclined to one side side of dissection (investigation on asymmetric distribution), first left hippocampus and parahippocampal gyrus occur that ADC value raises, progress is got involved for bilateral afterwards, in AD group, get involved as main taking right side.In brain, the grey matter water disperse regularity of distribution meets the worldlet characteristic of low-cost high-efficiency, and bilateral hippocampus has network collection point function, and the network connectivity of left hippocampus is easily damaged, and loses in early days in aMCI and AD.The visual research of these water disperses may be the objective biological indicator that provides of prediction cognitive decline.
Before the present invention, most researcheres adopt and manually delineate region of interest method (ROI), determine the ADC value of calculating again each brain district behind brain district.Manually delineate ROI have subjectivity strong, waste time and energy and shortcoming that operability is poor, can not be objective, the sub-disperse motor pattern of showed cell free surface moisture fast and exactly.
Summary of the invention
Object of the present invention is just to overcome the defect of manually delineating region of interest method (ROI), design the analytical method of carrying out full brain magnetic resonance dispersion parameter figure of automatization, it is water disperse campaign visualization method, the particularly Parameter Map analytical method of 32 dispersion tensor directions, the domestic report that there is no this analytical method.
Technical scheme of the present invention is:
1. set up the analytical method of hydrone disperse campaign pathophysiological change in medical imaging diagnosis brain, i.e. the Parameter Map analytical method of water disperse campaign visualization method, particularly 32 dispersion tensor directions, the at present domestic method that there is no referential effective maturation.
2. water disperse campaign visualization method feature is: diffusion tensor and the Parameter Map (as brain Apparent diffusion coefficient map picture) thereof of analyzing 32 disperse directions of 3T high-field magnetic resonance.
3. water disperse campaign visualization method feature is: the dispersion coefficient image obtaining from magnetic resonance equipment is * .img and * .hdr form from DICOM format conversion.
4. water disperse campaign visualization method is characterised in that and dissection brain domain is cut apart and extracted corticocerebral brain district.
5. water disperse campaign visualization method is characterised in that grey scale average value and the variance of calculating the voxel that forms each dissection brain district.
6. water disperse campaign visualization method is characterised in that the difference of water disperse distribution characteristics in user's difference analysis and independent sample t method of inspection analysis human brain.
7. water disperse campaign visualization method is characterised in that the visual image of significant difference of water disperse distribution characteristics in human brain is shown, with assisted diagnosis disease.
Advantage of the present invention and effect are, set up one based on dissecting brain district (AVOI) level, the method that is used for studying the sub-dispersion tensor Parameter Map change of brain cell free surface moisture pattern, is especially suitable for the diagnosis and differential diagnosis in cognitive disorder disease (aMCI and AD).Be based on dissecting the advantage of analyzing in brain district (AVOI), by Interhemispheric cortex construction auto Segmentation Wei90Ge Nao district, the average gray in each brain district carried out to automatic analysis.Do not need to delineate manually brain district, reduced subjective error, improved efficiency, increased the repeatability of result.
Brief description of the drawings
Fig. 1---the technical scheme flow chart of water disperse campaign visualization method in the present invention.
Fig. 2---in the present invention, water disperse campaign visualization method is embodied in to the design sketch in cognitive disorder disease brain.
Zuo Tu: between aMCI and NC group, ADC value has significant difference brain district to be positioned at limbic system (left hippocampus, other time of left hippocampus, island, right side leaf), left side thalamus, right side angular convolution and other Frontal lobe gyrus (both sides gyri orbitales).
Middle figure: between aMCI and AD group, ADC value has significant difference brain district to be positioned at limbic system (right side Hippocampus, right side wedge return, the utmost point, left side transverse temporal gyri on bilateral temporo), left side occipital lobe fusiform gyrus, bilateral inferior frontal gyrus opercular part and other Frontal lobe gyrus.
Right figure: between AD and NC group, ADC value has significant difference brain district to return and expand to surrounding edge system and relevant cortex (comprise the utmost point right side cingule gyrus, right side parahippocampal gyrus, island, right side leaf, left side temporo, left side transverse temporal gyri, bilateral inferior frontal gyrus opercular part, margo dexter last time, left side angular convolution) from bilateral hippocampus.
Fig. 3---in the present invention by the design sketch in cognitive disorder disease brain that is embodied in of water disperse campaign visualization method.We carry out its worldlet characteristic discovery of neutral net horizontal analysis of the ectocinerea water disperse of cognitive disorder disease, Hippocampus network collection point afunction in aMCI and AD.
Detailed description of the invention
Technical thought of the present invention is the existing knowledge of utilizing brain map Zhong Duinao district to delineate, and the image being mapped in brain map is carried out to auto Segmentation, thereby realizes the brain function analysis of brain district level, and is applied to cognitive disorder disease.
Below in conjunction with specific embodiment, further set forth the present invention.Should be understood that these embodiment are only not used in and limit the scope of the invention for invention is described.
1. technical scheme of the present invention
As shown in Figure 1:
Specific embodiment of the invention step is:
(1) gather the brain dispersion tensor image of experimenter's 3T magnetic resonance, and rebuild 32 disperse directioin parameter figure;
(2) by research worker according to index evaluation picture qualities such as the definitions of image;
(3) be * .img and * .hdr form by the dispersion coefficient image conforming to quality requirements from DICOM format conversion, object is that 2D image file sequence is reassembled as to single 3D rendering file, and removes experimenter, facility information;
(4) use maximum mutual information method that dispersion coefficient image and EPI template image are carried out to the linear registration of image, to reduce size between the two, the difference between orientation and angle;
(5) utilize the method for discrete cosine transform, the dispersion coefficient image obtaining after previous action is carried out to deformation, and according to making the squared difference between corresponding voxel intensity value and minimum as object function between image and collection of illustrative plates, realize the non-linear registration between image and collection of illustrative plates, by dispersion coefficient image mapped to brain image space;
(6) brain is dissected to template and overlap according to origin of coordinate, resolution is identical, and the principle that image array size is identical utilizes the method for rigid space conversion to dissect Template Map to the dispersion coefficient image that completes spatial mappings;
(7) calculate the voxel grey scale average value and the variance Deng Nao district digital information that form each dissection brain district;
(8) extract brain district digital information from EXCEL form report, analyze according to epidemiology and statistical method, set up the water dispersion model of digitized healthy human brain;
(9) user's difference analysis, the T of the group method of inspection is analyzed patient and Healthy People Nao district information, has found significant difference Nao district, provides objective quantification foundation for studying early stage cognitive disorder disease;
(10) calculate worldlet characterisitic parameter, set up network schemer figure;
(11) significant difference of water disperse distribution characteristics in human brain is shown with visual image, with assisted diagnosis disease.
2. the explanation of concrete effect of the present invention:
As shown in Figure 2,3:
Object of study is selected in the DTI of 200 elderly brains of 55～90 years old parametric image.Determine into group according to aMCI, AD, matched group diagnostic criteria and imaging study dispersion coefficient picture quality control criterion.Finally enter group 90 examples, 30 routine AD (64.0 ± 7.0 years old mean age, man's 18 examples, female's 12 examples), 30 routine aMCI (mean age 65.4 ± 4.4, male 17 examples, female's 13 examples), cognitive Normal group (NC) 30 examples (mean age 66.7 ± 4.8, male 12 examples, female's 18 examples).
The water disperse campaign visualization method that we set up successfully shows the hydrone disperse difference in each brain district between each seminar by anatomical position and color range intuitively; Independent sample t inspection shows, between aMCI and NC group (Fig. 2), ADC value has significant difference brain district to be positioned at limbic system (left hippocampus, other time of left hippocampus, island, right side leaf), left side thalamus, right side angular convolution and other Frontal lobe gyrus (both sides gyri orbitales).Between aMCI and AD group (Fig. 3), ADC value has significant difference brain district to be positioned at limbic system (right side Hippocampus, right side wedge return, the utmost point, left side transverse temporal gyri on bilateral temporo), left side occipital lobe fusiform gyrus, bilateral inferior frontal gyrus opercular part and other Frontal lobe gyrus.Between AD and NC group (Fig. 2), ADC value has significant difference brain district to return and expand to surrounding edge system and relevant cortex (comprise the utmost point right side cingule gyrus, right side parahippocampal gyrus, island, right side leaf, left side temporo, left side transverse temporal gyri, bilateral inferior frontal gyrus opercular part, margo dexter last time, left side angular convolution) from bilateral hippocampus.Neutral net horizontal analysis worldlet characteristic is found, Hippocampus network collection point afunction (Fig. 3) in aMCI and AD.
From above-mentioned concrete enforcement, successful analysis of the present invention the Parameter Map of 3T magnetic resonance DTI, the pathophysiological change of the sub-disperse of ECW in cognitive disorder disease brain has been carried out visual, the method can be to the brain image analysis expansion in other diseases field, and large-scale application is in clinical, auxiliary diagnosis and Differential Diagnosis.
Claims (6)
1. be a kind of water disperse campaign visualization method according to claim, it is characterized in that: diffusion tensor and the Parameter Map (as brain Apparent diffusion coefficient map picture) thereof of analyzing 32 disperse directions of 3T high-field magnetic resonance.
2. water disperse campaign visualization method according to claim 1, is characterized in that: the dispersion coefficient image obtaining from magnetic resonance equipment is * .img and * .hdr form from DICOM format conversion.
3. according to the water disperse campaign visualization method described in claim 1,2, it is characterized in that dissection brain domain being cut apart and being extracted corticocerebral brain district.
4. water disperse campaign visualization method according to claim 3, is characterized in that calculating forms grey scale average value and the variance of the voxel in each dissection brain district.
5. water disperse campaign visualization method according to claim 4, is characterized in that user's difference analysis and the independent sample t method of inspection analyze the difference of water disperse distribution characteristics in human brain.
6. water disperse campaign visualization method according to claim 5, is characterized in that the visual image of significant difference of water disperse distribution characteristics in human brain to show, with assisted diagnosis disease.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20090058417A1 (en) * | 2007-07-20 | 2009-03-05 | Yanasak Nathan E | Test object for use with diffusion MRI and system and method of synthesizing complex diffusive geometries using novel gradient directions |
| CN102008308A (en) * | 2010-12-29 | 2011-04-13 | 中国科学院深圳先进技术研究院 | Multi-b value diffusion tensor imaging sampling method |
| CN102222156A (en) * | 2011-03-30 | 2011-10-19 | 南京大学医学院附属鼓楼医院 | Method for establishing water molecule diffusion model in human brain |
| CN102334992A (en) * | 2011-10-19 | 2012-02-01 | 中国科学院深圳先进技术研究院 | Dispersion tensor imaging method and system |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090058417A1 (en) * | 2007-07-20 | 2009-03-05 | Yanasak Nathan E | Test object for use with diffusion MRI and system and method of synthesizing complex diffusive geometries using novel gradient directions |
| CN102008308A (en) * | 2010-12-29 | 2011-04-13 | 中国科学院深圳先进技术研究院 | Multi-b value diffusion tensor imaging sampling method |
| CN102222156A (en) * | 2011-03-30 | 2011-10-19 | 南京大学医学院附属鼓楼医院 | Method for establishing water molecule diffusion model in human brain |
| CN102334992A (en) * | 2011-10-19 | 2012-02-01 | 中国科学院深圳先进技术研究院 | Dispersion tensor imaging method and system |
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Application publication date: 20140716 |