CN105997120A - Human brain local water distribution volume measuring method using first A% region as reference region - Google Patents

Human brain local water distribution volume measuring method using first A% region as reference region Download PDF

Info

Publication number
CN105997120A
CN105997120A CN201510998865.6A CN201510998865A CN105997120A CN 105997120 A CN105997120 A CN 105997120A CN 201510998865 A CN201510998865 A CN 201510998865A CN 105997120 A CN105997120 A CN 105997120A
Authority
CN
China
Prior art keywords
water distribution
human brain
region
distribution volume
reference area
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201510998865.6A
Other languages
Chinese (zh)
Inventor
吴义根
郑改革
赵德林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Information Science and Technology
Original Assignee
Nanjing University of Information Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Information Science and Technology filed Critical Nanjing University of Information Science and Technology
Priority to CN201510998865.6A priority Critical patent/CN105997120A/en
Publication of CN105997120A publication Critical patent/CN105997120A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computerised tomographs
    • A61B6/037—Emission tomography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/46—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient
    • A61B6/467—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient characterised by special input means
    • A61B6/469—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient characterised by special input means for selecting a region of interest [ROI]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques
    • A61B6/481—Diagnostic techniques involving the use of contrast agents
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50—Clinical applications
    • A61B6/501—Clinical applications involving diagnosis of head, e.g. neuroimaging, craniography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis

Abstract

The invention discloses a human brain local water distribution volume measuring method using first A% region as a reference region. The method is characterized by comprising the following steps: step 1, performing PET/H2<15>O dynamic scanning on a human brain; step 2, using the first A% region as a reference region, calculating relative water distribution volume value P1 of each to-be-determined position in the human brain; step 3, after the relative water distribution volume value P1 of each position of the human brain is obtained, performing normalization processing on the human brain as needed; and difference between an obtained numerical value and an absolute water distribution volume of the position being a proportional constant, and using the obtained numerical value as an index of the absolute water distribution volume. The method does not need to dynamically draw arterial blood and does not need a template or a model which may distort, and complex correction and other manual intervention are not needed, so that the method can realize automatic processing of computers. A measured result and an accurate local water distribution volume quantitative measuring method do not have deviation, and the method has good application prospect.

Description

The human brain local water distribution volume determination method of reference area is made in front A% region
Technical field
The present invention relates to a kind of human brain local water distribution volume determination method, be specifically related to a kind of front A% region and make reference area Human brain local water distribution volume determination method.The invention belongs to biology and medical imaging field.
Background technology
Utilize positron-emitting radionuclides15Water (the i.e. H of O labelling2 15O) positron emission tomography of developer is made (Positron Emission Tomography, i.e. PET) method (is abbreviated as PET/H2 15O method), it is to intravenous injection Carrying out PET dynamic scan after H215O, then with Kety-Schmidt one compartment model, (Kety SS. (1951) The theory is shown in by document And applications of the exchange of inert gas at the lungs and tissues.Pharmacol Rev 3:1-41.) etc. side Method makees local water distribution volume quantitative Analysis pixel-by-pixel, so can generate the image of local water distribution volume.
In quantitative Analysis in early days, input function needs to be surveyed by the method for the dynamically venous blood of extraction arterial blood or arterial revascularization ?.Although this method is very accurately with effective, but it has damage, the daily little application of the most this method.In order to reduce Or eliminating the impact of this blood drawing method, some researcheres have invented a kind of (image-derived's) being referred to as being derived from image (including two parts of documents, Weinberg I, Huang SC, Hoffman E, et al. (1988) Validation of is shown in by document 1 to method PET-acquired input functions for cardiac studies.J Nucl Med 29:241-247, document 2 is shown in Chen K, Bandy D,Reiman E,et al.(1998)Noninvasive Quantification of the Cerebral Metabolic Rate for Glucose Using Positron Emission Tomography,18F-Fluoro-2-Deoxyglucose,the Patlak Method, and an Image-Derived Input Function.J Cereb Blood Flow Metab 18:716–723).By main in PET image The arteries of plasma profiles to be reflected or the PET data of left ventricle are as input function.Although these methods are successfully used for generation For dynamically blood drawing, but the inaccurate or many complicated craft corrections of needs.In view of this, a kind of from group's blood sample data Input function analytical model that the input function template that calculates or be fitted these blood sample data is given (Feng D is shown in by document, Huang SC,Wang X(1993)Models for computer simulation studies of input functions for tracer Kinetic modeling with positron emission tomography.Int J Biomed Comput 32:95-110.) it is introduced into, But these masterplates or model can not meet the most tested special blood sample data well, and such input function cannot simple application Quantitative Analysis in water distribution volume.
Just it has been observed that prior art exists following problems:
1) method obtaining input function by the venous blood of dynamic extraction arterial blood or arterial revascularization, although very accurate and effective, But it has damage, easily bring uncomfortable, even can cause other danger in terms of blood vessel, and have blood sample radiation to process And the interference etc. to people bothers, the daily little application of the most this method.
2) method being derived from (image-derived) of image, there is a problem in that and a) need quick image acquisition side After case reflects the time graph feature of input function, particularly injection FDG, the rapid of early stage changes；B) need effectively to solve Partial volume effect；C) need to revise from around the brain district of selected ROI to the outflow effect (spillover) of these ROI.When Tracer is when starting to gather in the brain district of selected ROI, and the outflow of this tissue to blood plasma will become the most serious.Thus this Although a little methods are successfully used for replacing dynamically drawing blood, but the inaccurate or many complicated craft corrections of needs.
3) for input function masterplate or model method, owing to the special blood sample data of each individuality not necessarily have identical spy Definite value, selects such masterplate or model will cause the input function distortion provided if unified, it is impossible to simple application is in water distribution The quantitative Analysis of volume.
Summary of the invention
For solving the deficiencies in the prior art, it is an object of the invention to provide a kind of front A% region and make the human brain local water of reference area Distribution volume assay method, to solve the prior art technical problem that accuracy is not enough when measuring human brain local water distribution volume.
In order to realize above-mentioned target, the present invention adopts the following technical scheme that:
The human brain local water distribution volume determination method of reference area is made in front A% region, it is characterised in that comprise the steps:
Step one: human brain is PET/H2 15O dynamic scan；
Step 2: the front A% region of human brain is held as reference area, the relative moisture cloth calculating each position to be asked in human brain Product value P1, described front A% region refers to the H of whole pixels of people's brain2 15After O radioactivity value is ranked up from big to small The activity value obtained comes the set of all pixels of front A%, and A% is a ratio value；
Step 3: obtain relative moisture cloth volumetric values P at each position of human brain1After, make the normalized of human brain as required； Institute's value differs only by a proportionality constant, with this value as absolute water distribution volume with the absolute water distribution volume at this position Index.
The human brain local water distribution volume determination method of reference area is made in aforesaid front A% region, it is characterised in that described PET/ H2 15O dynamic scan is for using H2 15O makees the PET dynamic scan method of developer.
The human brain local water distribution volume determination method of reference area is made in aforesaid front A% region, it is characterised in that in step 2, Employing formula: &Integral; 0 t C t o ( &tau; ) d &tau; = P 1 &Integral; 0 t C t r ( &tau; ) d &tau; + P 2 C t r ( t ) - P 3 C t o ( t ) , Calculate in human brain Relative moisture cloth volumetric values P at each position to be asked1；Wherein: ctoT () is the H of the unit volume at t position to be asked2 15O Radioactivity, ctrT () is the H of the unit volume in A% region before t215O radioactivity, P2、P3Be other two Individual fitting parameter；Being sampled by kinetic measurement, matching obtains P1、P2、P3。
The human brain local water distribution volume determination method of reference area is made in aforesaid front A% region, it is characterised in that in step 3, When needs measure absolute water distribution volumetric values, relative moisture cloth volumetric values P that will determine1It is multiplied by the absolute water in front A% region Distribution volume value.
The human brain local water distribution volume determination method of reference area is made in aforesaid front A% region, it is characterised in that can be based on picture Element quantitative determines.
The human brain local water distribution volume determination method of reference area is made in aforesaid front A% region, it is characterised in that after normalization Image at least can be used in the comparative study between single human body different conditions or different human body.
The human brain local water distribution volume determination method of reference area is made in aforesaid front A% region, it is characterised in that described 8 < A < 20.
The human brain local water distribution volume determination method of reference area is made in aforesaid front A% region, it is characterised in that A=10.
The invention have benefit that: the present invention can carry out the quantitative of local water distribution volume pixel-by-pixel to the organ analyzed Measure, and then generate the function image of human brain local water distribution volume, it is not necessary to input function, thus both need not dynamically to extract dynamic Arteries and veins blood also without may the masterplate of distortion or model, more need not to do the manual intervention such as correction of complexity, thus facilitate implementation meter The automatic business processing of calculation machine.The result simultaneously measured does not has deviation with accurately local water distribution volume quantitative assay method, and this finishes Complete undamaged method for quantitatively determining has good application scenario.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the human brain local water distribution volume determination method that reference area is made in A% region before the present invention；
Fig. 2 be noise level be the relative moisture cloth that the present invention measures with Kety-Schmidt one compartment model method in the case of 1 Schematic diagram is compared in the recurrence of volume；
Fig. 3 be noise level be the absolute moisture that the present invention measures with Kety-Schmidt one compartment model method in the case of 1 Schematic diagram is compared in the recurrence of cloth volume.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention made concrete introduction.
With reference to shown in Fig. 1, before the present invention, A% makees in region the human brain local water distribution volume determination method of reference area, for a kind of human brain The locally PET/H of water distribution volume2 15O non-damage quantitative assay method, human brain can be quantitative determined by the method pixel-by-pixel, And then generate the function image of human brain local water distribution volume office.For achieving the above object, the present invention is to take following skill Art scheme realizes:
The human brain local water distribution volume quantitative assay method of reference area is made in front A% region, it is characterised in that:
(1) human brain is PET/H2 15O dynamic scan；PET/H2 15O dynamic scan is for using H2 15O makees the PET of developer Dynamic scan method；
(2) by the H of whole pixels of people's brain2 15O radioactivity value is ranked up from big to small, takes activity value and comes front A% The set of all pixels as reference area (be called for short before A% region), A% here is a percent value, and it is less than 100%. The most directly use following equation:
&Integral; 0 t C t o ( &tau; ) d &tau; = P 1 &Integral; 0 t C t r ( &tau; ) d &tau; + P 2 C t r ( t ) - P 3 C t o ( t ) Calculate in human brain each Relative moisture cloth volumetric values P at position to be asked1, c in formulatoT () is the H of the unit volume at t position to be asked2 15O is put Penetrating property activity, ctrT () is the H of the unit volume in A% region before t2 15O radioactivity, P2、P3It is other two plans Close parameter；Being sampled by kinetic measurement, matching obtains P1、P2、P3。
(3) when relative moisture cloth volumetric values P obtaining each position of human brain1After, the normalized of human brain can be made as required. Institute's value differs only by a proportionality constant with the absolute water distribution volume at this position, can make the index of absolute water distribution volume with it. Image after this normalization may be used for the comparative study etc. between single human body different conditions or different human body.
It is pointed out that in the present invention, the value of A should not be too large or too small, if A value is excessive, can cause and gold The deviation of standard K ety-Schmidt one compartment model method, if the value of A is too small, can make the error of fitting parameter become big, as Preferably, the value of A should be 8 < A < 20.In this interval, it is possible to preferably realize the mensuration of relative moisture cloth volumetric values.As Needing to measure absolute water distribution volumetric values, preferably suggestion A is taken as 10, and in such cases, the absolute water distribution in front 10% region is held Product value has been that existing documents and materials are open, relative moisture cloth volumetric values P that will determine1It is multiplied by the absolute water in front 10% region Distribution volume value and get final product.When A does not takes 10, such as taking 12, now the absolute water distribution volumetric values in front A% region needs basis Experiment obtains, and those skilled in the art according to prior art, can copy the absolute water distribution volumetric values in front 10% region of acquirement Mode, the absolute water distribution volumetric values in A% region before obtaining.The absolute water distribution volumetric values universe distribution that the inventive method measures Feature does not has deviation compared with truth.The present invention can quantitative determine based on pixel.
Below in conjunction with Fig. 2, Fig. 3 introduction analog data (the experimental data parameter computer reported according to existing document with The PET/H215O dynamic scan data that machine produces) present invention that carries out and internationally recognized goldstandard Kety-Schmidt single chamber The comparison of model method measurement result:
Fig. 2, Fig. 3 are to select front 10% region to make reference area (absolute Blood Flow Value is taken as 1.0 milliliters/ml/min, absolutely respectively Water distribution volumetric values is taken 0.86 milliliter/milliliter, and this value takes from the experimental result of existing document report, and this value is in document Test the meansigma methods of all measured.When the value of A is 10, it is possible to most preferably realize the technology of the present invention effect, this area Technical staff is when the value of A is not 10, and the calculating of relative moisture cloth volumetric values can realize.) it is the feelings of 1 at noise level Relative (Fig. 1) and the absolute (figure that under condition, the brain present invention pixel-by-pixel determines with Kety-Schmidt one compartment model method two kinds 2) recurrence of water distribution volumetric values is compared.The result of the corresponding each pixel of scatterplot in figure, straight line is the regression straight line of two kinds of methods, Its slope is all 1.01, very close to 1；Intercept is 0.000.This result showing the present invention and Kety-Schmidt single chamber mould Type method is almost directly proportional, thus the two equivalent.These results display present invention and Kety-Schmidt one compartment model side The result of calculation approximation of method, but unlike traditional method, need input function, thus eliminate in aforementioned background art and retouched Those stated are puzzled.
The most visible, after the present invention selects front A% region to make reference area, directly utilize aforesaid not damaged local water distribution and hold Long-pending quantitative Analysis formula, input function will disappear.When needs measure absolute water distribution volume, the relative moisture cloth that will determine Volumetric values is multiplied by the absolute water distribution volumetric values in front A% region.The absolute water distribution so calculating each pixel or region is held Product value differs only by a little proportionality constant compared with true value, even calculate the absolute water distribution volumetric values in each pixel or region with True value is equal.The universe distribution characteristics of calculated absolute water distribution volumetric values does not haves deviation compared with truth.
Owing to the inventive method needs the correction of complexity unlike being derived from image method, and need not input function, thus neither Needs dynamically extraction arterial blood is also without doing the manual interventions such as complicated correction, thus facilitates implementation the automatic business processing of computer. Our result does not has deviation, the present invention to be expected to be applied to daily need with accurately local water distribution volume quantitative assay method simultaneously.
The ultimate principle of the present invention, principal character and advantage have more than been shown and described.Skilled person will appreciate that of the industry, Above-described embodiment limits the present invention the most in any form, the technical scheme that the mode of all employing equivalents or equivalent transformation is obtained, All fall within protection scope of the present invention.

Claims (8)

1. before, A% makees in region the human brain local water distribution volume determination method of reference area, it is characterised in that comprise the steps:
Step one: human brain is PET/H2 15O dynamic scan；
Step 2: the front A% region of human brain is held as reference area, the relative moisture cloth calculating each position to be asked in human brain Product value P1, described front A% region refers to the H of whole pixels of people's brain2 15After O radioactivity value is ranked up from big to small The activity value obtained comes the set of all pixels of front A%；
Step 3: obtain relative moisture cloth volumetric values P at each position of human brain1After, make the normalized of human brain as required； Institute's value differs only by a proportionality constant, with this value as absolute water distribution volume with the absolute water distribution volume at this position Index.
The human brain local water distribution volume determination method of reference area is made in front A% region the most according to claim 1, it is characterised in that Described PET/H2 15O dynamic scan is for using H2 15O makees the PET dynamic scan method of developer.
The human brain local water distribution volume determination method of reference area is made in front A% region the most according to claim 2, it is characterised in that In step 2, employing formula:
&Integral; 0 t C t o ( &tau; ) d &tau; = P 1 &Integral; 0 t C t r ( &tau; ) d &tau; + P 2 C t r ( t ) - P 3 C t o ( t ) , Calculate each portion to be asked in human brain Relative moisture cloth volumetric values P of position1；Wherein: ctoT () is the H of the unit volume at t position to be asked2 15O radioactivity, ctrT () is the H of the unit volume in A% region before t2 15O radioactivity, P2、P3It is other two fitting parameters； Being sampled by kinetic measurement, matching obtains P1、P2、P3。
The human brain local water distribution volume determination method of reference area is made in front A% region the most according to claim 3, it is characterised in that In step 3, when needs measure absolute water distribution volumetric values, relative moisture cloth volumetric values P that will determine1It is multiplied by front A% district The absolute water distribution volumetric values in territory.
The human brain local water distribution volume determination method of reference area is made in front A% region the most according to claim 4, it is characterised in that Can quantitative determine based on pixel.
The human brain local water distribution volume determination method of reference area is made in front A% region the most according to claim 5, it is characterised in that Image after normalization at least can be used in the comparative study between single human body different conditions or different human body.
7. the human brain local water distribution volume determination method of reference area is made according to the front A% region described in any one of claim 1 to 6, It is characterized in that, described 8 < A < 20.
The human brain local water distribution volume determination method of reference area is made in front A% region the most according to claim 7, it is characterised in that A=10.
CN201510998865.6A 2015-12-28 2015-12-28 Human brain local water distribution volume measuring method using first A% region as reference region Withdrawn CN105997120A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510998865.6A CN105997120A (en) 2015-12-28 2015-12-28 Human brain local water distribution volume measuring method using first A% region as reference region

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510998865.6A CN105997120A (en) 2015-12-28 2015-12-28 Human brain local water distribution volume measuring method using first A% region as reference region

Publications (1)

Publication Number Publication Date
CN105997120A true CN105997120A (en) 2016-10-12

Family

ID=57082597

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510998865.6A Withdrawn CN105997120A (en) 2015-12-28 2015-12-28 Human brain local water distribution volume measuring method using first A% region as reference region

Country Status (1)

Country Link
CN (1) CN105997120A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110530902A (en) * 2019-08-26 2019-12-03 中国科学院地质与地球物理研究所 A kind of gas hydrates component migration PET imaging method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102068269A (en) * 2011-01-21 2011-05-25 南京信息工程大学 Method for noninvasively and quantitatively measuring local blood flows of human organs
CN105686844A (en) * 2015-12-28 2016-06-22 南京信息工程大学 A human brain local water distribution volume determination method with a front A% area as the reference area

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102068269A (en) * 2011-01-21 2011-05-25 南京信息工程大学 Method for noninvasively and quantitatively measuring local blood flows of human organs
CN105686844A (en) * 2015-12-28 2016-06-22 南京信息工程大学 A human brain local water distribution volume determination method with a front A% area as the reference area

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
吴义根 等: "用rPatlak图解及动态FDG-PET方法生成脑局部葡萄糖代谢率参数图", 《科学通报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110530902A (en) * 2019-08-26 2019-12-03 中国科学院地质与地球物理研究所 A kind of gas hydrates component migration PET imaging method

Similar Documents

Publication Publication Date Title
US10580526B2 (en) System and method for calculating vessel flow parameters based on angiography
Sullivan et al. Metrology standards for quantitative imaging biomarkers
CN110637322B (en) System, method, and computer-readable storage medium for edge detection in digitized images
Hodneland et al. A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model
CN102068269B (en) Method for noninvasively and quantitatively measuring local blood flows of human organs
Candreva et al. Current and future applications of computational fluid dynamics in coronary artery disease
Klein et al. Kinetic model‐based factor analysis of dynamic sequences for 82‐rubidium cardiac positron emission tomography
CN100569183C (en) The non-damage quantitative computing method that is used for the human organ partial glucose metabolic rate
Renaud et al. Myocardial flow reserve estimation with contemporary CZT-SPECT and 99mTc-tracers lacks precision for routine clinical application
Altes et al. Comparison of mitral regurgitant volume assessment between proximal flow convergence and volumetric methods in patients with significant primary mitral regurgitation: an echocardiographic and cardiac magnetic resonance imaging study
Medvedofsky et al. Feasibility of left ventricular global longitudinal strain measurements from contrast-enhanced echocardiographic images
Romain et al. Parameter estimation of perfusion models in dynamic contrast-enhanced imaging: a unified framework for model comparison
Teo et al. Regional ejection fraction and regional area strain for left ventricular function assessment in male patients after first-time myocardial infarction
US20100046820A1 (en) Framing of positron emission tomography data to assess activity peak
Bendinger et al. Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models
Graafen et al. Quantitative myocardial perfusion magnetic resonance imaging: the impact of pulsatile flow on contrast agent bolus dispersion
CN105997120A (en) Human brain local water distribution volume measuring method using first A% region as reference region
CN109155065B (en) System and method for diagnostic image analysis and image quality assessment
Miller et al. Developing a biomechanical model-based elasticity imaging method for assessing hormone receptor positive breast cancer treatment-related myocardial stiffness changes
Wang et al. Performance of automated software in the assessment of segmental left ventricular function in cardiac CT: comparison with cardiac magnetic resonance
CN105686844B (en) Make the human brain part water distribution volume determination method of reference area in the preceding region A%
CN105748093B (en) Cerebral gray matter makees the human brain part water distribution volume determination method of reference area
Krakovich et al. Dose-consistent dynamic SPECT
Wu et al. Simplified Quantification and Acquisition Protocol for 123I-MIBG Dynamic SPECT
Tichý et al. Model-based extraction of input and organ functions in dynamic scintigraphic imaging

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication
WW01 Invention patent application withdrawn after publication

Application publication date: 20161012