CN107456225A - A kind of cerebral blood flow (CBF) partial volume effect bearing calibration - Google Patents
A kind of cerebral blood flow (CBF) partial volume effect bearing calibration Download PDFInfo
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- 230000003727 cerebral blood flow Effects 0.000 title claims abstract description 53
- 230000000694 effects Effects 0.000 title claims abstract description 6
- 210000004556 brain Anatomy 0.000 claims abstract description 36
- 210000004885 white matter Anatomy 0.000 claims abstract description 34
- 238000012937 correction Methods 0.000 claims abstract description 17
- 230000008344 brain blood flow Effects 0.000 claims description 17
- 238000002372 labelling Methods 0.000 claims description 3
- 230000005311 nuclear magnetism Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 2
- 210000001175 cerebrospinal fluid Anatomy 0.000 abstract description 7
- 238000000034 method Methods 0.000 abstract description 6
- 238000003745 diagnosis Methods 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000004458 analytical method Methods 0.000 abstract description 3
- 238000004364 calculation method Methods 0.000 abstract description 2
- 210000004884 grey matter Anatomy 0.000 description 13
- 210000001367 artery Anatomy 0.000 description 4
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 208000026106 cerebrovascular disease Diseases 0.000 description 2
- 208000024827 Alzheimer disease Diseases 0.000 description 1
- 206010003694 Atrophy Diseases 0.000 description 1
- 206010008111 Cerebral haemorrhage Diseases 0.000 description 1
- 206010010356 Congenital anomaly Diseases 0.000 description 1
- 201000008450 Intracranial aneurysm Diseases 0.000 description 1
- 238000012307 MRI technique Methods 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000037444 atrophy Effects 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 230000036995 brain health Effects 0.000 description 1
- 210000005013 brain tissue Anatomy 0.000 description 1
- 230000008084 cerebral blood perfusion Effects 0.000 description 1
- 230000002490 cerebral effect Effects 0.000 description 1
- 206010008118 cerebral infarction Diseases 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
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- 210000003478 temporal lobe Anatomy 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 201000009371 venous hemangioma Diseases 0.000 description 1
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0263—Measuring blood flow using NMR
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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Abstract
The present invention relates to a kind of cerebral blood flow (CBF) partial volume effect bearing calibration, the purpose of the present invention is exactly to carry out partial volume correction using the CBF values obtained in ASL technologies, and accurate algorithm is provided for clear and definite AD diagnosis.Using the CBF values obtained in ASL and T1 values as inputting, the CBF values of full brain white matter of brain, ectocinerea and cerebrospinal fluid are drawn by PVE algorithms.The CBF values carried out according to this method after PVE corrections are divided into two groups of white matter of brain, ectocinerea pixel values.Compared with full brain CBF values, result of calculation is more accurate, is advantageous to the diagnosis and analysis of clinic.
Description
Technical field
The present invention relates to data processing field, and in particular to a kind of cerebral blood flow (CBF) partial volume effect bearing calibration.
Background technology
Cerebral blood flow (CBF)（Cerebral Blood Flow, CBF）It is that a certain amount of brain tissue blood vessel knot is flowed through in the unit interval
The CBF of structure.The blood conveying capacity for the tissue being defined as in time per unit to unit mass, unit ml/100g/
min.CBF change is the early sign that brain is activated, and is the important symbol for evaluating brain health status.It is diagnosis and controlled
Treat the main of the cerebrovascular disease such as Alzheimer's disease, cerebral infarction, cerebral hemorrhage, aneurysm and congenital artery and cerebral venous malformation
Foundation.At present, the mode of brain blood flow is measured mainly by PET, SPECT, MRI technique etc..With nmr imaging technique not
It is disconnected to improve, nuclear-magnetism artery rotation flag sequence（Artery Spin Label, ASL）Technology is as a kind of completely non-invasive new blood
Infusate flow technology has been increasingly used for CBF measurement.Alzheimer ' is being carried out using the CBF values of magnetic resonance ASL technical limit spacings
Silent disease（AD）During research, compared with recognizing normal aging people, because different degrees of encephalatrophy be present especially with Medial Temporal Lobe in patient AD
Atrophy is notable, and the degree difference of encephalatrophy will influence whether the registration of image, because the interlamellar spacing of most of ASL images is more
For 3 ~ 4mm, the mixing voxel of a large amount of grey matters and white matter be present.If these voxels are calculated using the brain blood flow of grey matter or white matter
Method, then it will necessarily cause error, it is therefore desirable to which partial volume correction is carried out to these regions（Partial Volume
Correction, PVE）, so as to obtain accurate CBF values.
The content of the invention
The purpose of the present invention is exactly to carry out partial volume correction using the CBF values obtained in ASL technologies, for examining for clear and definite AD
It is disconnected that accurate algorithm is provided.Using the CBF values obtained in ASL and T1 values as input, show that full brain brain is white by PVE algorithms
The CBF values of matter, ectocinerea and cerebrospinal fluid.Because CBF value pixels are low, on the position of full ectocinerea white matter cerebrospinal fluid boundary, one
White matter of brain, the Multiple components such as ectocinerea and cerebrospinal fluid may be contained in individual pixel value, and cerebral blood flow (CBF) is in each composition（In vain
Matter, grey matter, cerebrospinal fluid）Value differ greatly, therefore carry out partial volume correction after, it is more accurate to the CBF values of frontier district.It is main
Want formula as follows：
CBFpve= CBF/(PGM*ΔMGM+ PWM*ΔMWM+PCSF*ΔMCSF).
In above-mentioned formula, CBF be correction before cerebral blood perfusion value, PGM, PWMAnd PCSFRepresent ectocinerea, white matter of brain and brain
The probability graph of spinal fluid.ΔMGM, ΔMWM and ΔMCSFThe arterial spin labeling for dividing table to represent ectocinerea, white matter and cerebrospinal fluid fills
Note weighted signal, wherein Δ MCSFIt is worth for 0, because the free marking signal of the artery of cerebrospinal fluid is almost 0.The CBF of adultgrayValue is about
For WMCBF3 times of value.Therefore above-mentioned equation can be reduced to：
CBFpve= CBF/ (PGM*3+ PWM).
PVE corrections are carried out to ASL data with the formula after this simplification.
The present invention is achieved through the following technical solutions：
A kind of cerebral blood flow (CBF) partial volume effect bearing calibration, it is characterised in that comprise the following steps：
Step 1）The brain blood flow value and ectocinerea number of full brain are obtained by the testing result of nuclear-magnetism arterial spin labeling sequence
Value and white matter of brain numerical value；
Step 2）The ectocinerea value in region of the ectocinerea numerical value less than or equal to 0.25 is set to 0, obtained ectocinerea value is not
0 region is GM；The white matter of brain value in region of the white matter of brain numerical value less than or equal to 0.25 is set to 0, obtained white matter of brain value is not
Region for 0 is WM；
Step 3）For each numerical point in the GM of region, it is corrected as follows
CBFgray=CBF/（GMgray+0.33*GMwhite）
Wherein CBFgrayFor the correction result of the brain blood flow value in the ectocinerea of the point, CBF is the brain blood flow value of the point,
GMgrayFor the ectocinerea numerical value of the point, GMwhiteFor the white matter of brain numerical value of the point；
For each numerical point in the WM of region, it is corrected as follows
CBFwhite=CBF/（WMwhite+3*WMgray）
Wherein CBFwhiteFor the correction result of the brain blood flow value in the white matter of brain of the point, CBF is the brain blood flow value of the point,
WMwhiteFor the white matter of brain numerical value of the point, WMgrayFor the ectocinerea numerical value of the point；
Step 4）According to CBFgrayNumerical value make ectocinerea brain blood flow spirogram, according to CBFwhiteNumerical value to make brain white
Matter brain blood flow spirogram.
Compared with prior art, the present invention has advantages below：
The CBF values carried out according to this method after PVE corrections are divided into two groups of white matter of brain, ectocinerea pixel values.With full brain CBF value phases
Than result of calculation is more accurate, is advantageous to the diagnosis and analysis of clinic.
Brief description of the drawings
Fig. 1 schemes for full brain CBF；
Fig. 2 is the grey matter CBF figures after correction.
Embodiment
Embodiment 1
This method can use matlab programming realizations, and matlab programs are as follows：
function FG_PVE_correction_for_perfusiondata(Imgs,Grays,Whites,smooth_
kernel)
A PVE function is defined, function variable has four,（Full brain, white matter, grey matter, smooth nuclear parameter）
sub=[1,2,3,4,5,6,7,….,n] （Picture numbers are read one by one, and n is the data number into program）
for k=1:x（X indicates entry into the data amount check of program）
n=sub(k) （N represents the numbering of data）
S=num2str(n);（Numerical variable is changed to by character variable）
Imgs=strcat (' local path ', ' means', S, ' .img') obtain full brain pixel value
Grays=strcat (' local path ' ', ' c1s', S, ' .img') obtain ectocinerea pixel value
Whites=strcat (' local path ', ' c2s', S, ' .img') obtain white matter of brain pixel value
smooth_kernel=[2 2 2];It is 2 to define smooth check figure
for i=1:Size (Grays, 1) reads brain data
Vmat=spm_vol(Imgs(i,:));Full brain pixel value is assigned to Vmat variables
V=spm_read_vols(Vmat);Vmat variables are read in V variables
GM=spm_read_vols(spm_vol(Grays (i,:)));Grey matter data are assigned to GM
WM=spm_read_vols(spm_vol(Whites(i,:)));White matter data are assigned to WM
GM(find(GM<=0.25))=0;Grey matter is set to 0 by grey matter numerical value less than or equal to 0.25
WM(find(WM<=0.25))=0;White matter is set to 0 by white matter numerical value less than or equal to 0.25
V21=zeros(size(V));Define V21 variable spaces size and be equal to V（Brain space size）, assignment 0
V22=zeros(size(V));Define V22 variable spaces size and be equal to V（Brain space size）, assignment 0
V21(find(GM))=V(find(GM))./(GM(find(GM))+0.4*WM(find(GM)));
V21 (grey matter)=grey matter/（Grey matter+0.33* white matters）
V22(find(WM))=V(find(WM))./(WM(find(WM))+2.5*GM(find(WM)));V22 (white matter)=
White matter/（White matter+3* grey matters）
Vmat.fname=deblank(PVE_gray_imgs(i,:));
spm_write_vol(Vmat,V21);
V21 numerical value is assigned to PVE_gray_imgs
Vmat.fname=deblank(PVE_white_imgs(i,:));
spm_write_vol(Vmat,V22);
V22 numerical value is assigned to PVE_ white _ imgs
end
fprintf ('\n-----PVE correction is done!......\n')
Gui interface prompting PVE calibrations have been finished
end
Fig. 1 and Fig. 2 indicates the calibration result of this method, and it is white that the CBF values carried out according to this method after PVE corrections are divided into brain
Two groups of matter, ectocinerea cerebral blood flow (CBF) images.Fig. 2 is the grey matter brain blood flow spirogram after correction, compared with full brain CBF values, calculates knot
Fruit is more accurate, is advantageous to the diagnosis and analysis of clinic.
Claims (1)
1. a kind of cerebral blood flow (CBF) partial volume effect bearing calibration, it is characterised in that comprise the following steps：
Step 1）The brain blood flow value and ectocinerea number of full brain are obtained by the testing result of nuclear-magnetism arterial spin labeling sequence
Value and white matter of brain numerical value；
Step 2）The ectocinerea value in region of the ectocinerea numerical value less than or equal to 0.25 is set to 0, obtained ectocinerea value is not
0 region is GM；The white matter of brain value in region of the white matter of brain numerical value less than or equal to 0.25 is set to 0, obtained white matter of brain value is not
Region for 0 is WM；
Step 3）For each numerical point in the GM of region, it is corrected as follows
CBFgray=CBF/（GMgray+0.33*GMwhite）
Wherein CBFgrayFor the correction result of the brain blood flow value in the ectocinerea of the point, CBF is the brain blood flow value of the point,
GMgrayFor the ectocinerea numerical value of the point, GMwhiteFor the white matter of brain numerical value of the point；
For each numerical point in the WM of region, it is corrected as follows
CBFwhite=CBF/（WMwhite+3*WMgray）
Wherein CBFwhiteFor the correction result of the brain blood flow value in the white matter of brain of the point, CBF is the brain blood flow value of the point,
WMwhiteFor the white matter of brain numerical value of the point, WMgrayFor the ectocinerea numerical value of the point；
Step 4）According to CBFgrayNumerical value make ectocinerea brain blood flow spirogram, according to CBFwhiteNumerical value to make brain white
Matter brain blood flow spirogram.
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| CN116029983A (en) * | 2022-12-05 | 2023-04-28 | 中国科学院心理研究所 | Image quality evaluation method and system for magnetic resonance arterial spin labeling perfusion imaging |
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| CN1062649A (en) * | 1991-12-04 | 1992-07-15 | 中国人民解放军海军医学研究所 | Brain figure imaging system and cerebral blood flow landform drawing generating method |
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| CN116029983A (en) * | 2022-12-05 | 2023-04-28 | 中国科学院心理研究所 | Image quality evaluation method and system for magnetic resonance arterial spin labeling perfusion imaging |
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