CN110013263A - One kind generating the method and system of standardized uptake value (SUV) based on medical image data - Google Patents
One kind generating the method and system of standardized uptake value (SUV) based on medical image data Download PDFInfo
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- 239000002872 contrast media Substances 0.000 description 2
- 238000002059 diagnostic imaging Methods 0.000 description 2
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- HIIJZYSUEJYLMX-UHFFFAOYSA-N 1-fluoro-3-(2-nitroimidazol-1-yl)propan-2-ol Chemical compound FCC(O)CN1C=CN=C1[N+]([O-])=O HIIJZYSUEJYLMX-UHFFFAOYSA-N 0.000 description 1
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- 239000012217 radiopharmaceutical Substances 0.000 description 1
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- 238000002560 therapeutic procedure Methods 0.000 description 1
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Abstract
The invention discloses a kind of methods for generating standardized uptake value (SUV) based on medical image data, and described method includes following steps: a pair of medical image data is pre-processed；Two users choose area-of-interest module to the pretreated medical image data in the first step, mark focal zone；Three in the area-of-interest module, calculate the standardized uptake value；Four pairs of above-mentioned calculated results carry out data preservation.System and method of the present invention place one's entire reliance upon the data parameters that system itself stores, clinical staff manually input is not needed, reduce inaccuracy caused by human factor, record is carried out to every item data without user and is saved in batches, many cumbersome work are eliminated, reduces error rate, it can be realized online division focal zone manually simultaneously, it is automatically performed and saves institute's data result in need, it is easy to operate, quick, greatly shorten the time that clinical research doctor analyzes data.
Description
Technical field
The present invention relates to medical imaging post-processing/analysis technical fields, and in particular to one kind is raw based on medical image data
At the method and system of standardized uptake value (SUV).
Background technique
Positron emission computerized tomography (PET) is to allow to extract metabolic activity relevant to FDG, FET, FLT, FMISO etc.
The medical imaging modalities of the related quantitative information of the bio distribution of contrast agent.PET not only allows for visually indicating bestowed generation
It thanks to the distribution of active contrast agent, but also allows to quantify to have accumulated which how many radiopharmaceutical agent (also referred to as in specific region
Radioactive tracer).Using PET can accurate judgement in specific region how many from it is radioisotopic decay counted
Number.Whether this makes it possible to for these PET scans of the number with before or after being compared, and assess intake and retain and protect
It keeps steady and determines, decreases or increases.In oncology, whether this is most important to the assessment made a response is treated for disease.
For the ease of practice, need to calculate standardized uptake value (SUV, Standardized in clinical routine program
Uptake Value) rather than directly counted using decaying.SUV=tissue radioactivity concentration/and radiant injected volume/it is examined
The weight of person }, SUV is the resulting value of radioactive concentration normalization for making tissue by the radiant injected volume of per unit weight.By
Together with other quantitative or qualitative informations capable of influencing the assessment to pathology or other feature of interest in SUV, (such as tumour is to dislike
Property or benign assessment) and/or influence selection to therapeutic process appropriate, it is thus typically necessary to clinician or its
His user provides relatively accurate SUV information.
Clinically used SUV calculates the post-processing work station being nearly all equipped with dependent on production of machinery producer at present.However,
The SUV algorithm post-processed in work station is more old, and existing research confirms that the old algorithm of SUV exists apparent in liver oedema
Inaccuracy.In addition, the SUV analysis based on work station needs clinician manual when focal area is related to multi-layer image
Each layer of SUV is recorded to which SUV average value or maximum value based on volume be calculated, has seriously affected clinical case analysis
Speed, and the more caused error of human factor is also larger.
Summary of the invention
Standardized uptake value is generated based on medical image data in view of the above-mentioned problems, it is an object of that present invention to provide one kind
(SUV) system and method, the system and method through the invention, the SUV of generation is more acurrate, and applicability is wider, and mistake
Clinical staff is not needed in journey and manually enters data, is reduced trouble and is less also easy to produce error.
The technical solution adopted by the present invention are as follows: the present invention provides a kind of based on medical image data generation standardized uptake value
(SUV) method, described method includes following steps: step 1: pre-processing to the medical image data；Step 2:
User chooses area-of-interest (ROI) module to the pretreated medical image data in the first step, draws
Focal zone out；Step 3: calculating the standardized uptake value (SUV) in the area-of-interest (ROI) module；Step 4:
Data preservation is carried out to above-mentioned calculated result；Wherein, pretreatment described in the first step includes by the doctor of DICOM format
It learns image data and is converted to NIFTI format；The pretreatment further includes that the medical image data is carried out standard form registration；
The pretreatment further includes using medical image described in Gaussian smoothing to the medical image data；It is marked described in the third step
Standardization uptake values (SUV) include SUVbwAverage value and maximum value, SUVlbmAverage value and maximum value, SUVlbmnewAverage value
And maximum value.
Further, medical image data described in the second step can also be the original medical image data.
It further, further include calculating being averaged for CBF in the area-of-interest (ROI) module in the third step
Value and maximum value, wherein.
It further, further include based on lesion side and being good in the area-of-interest (ROI) module in the third step
Health side calculates asymmetry (AI), AI=(H-L)/H × 100%, and wherein H is healthy side, and L is lesion side.
Further, the data of preservation described in the 4th step include but is not limited to the original of the medical image data
Number after data after beginning data, format conversion, the data after the registration, the smoothed out data, the pretreatment
According to, image data obtained in tri- kinds of data of the ROI region, SUV algorithms.
It is described meanwhile the present invention also provides a kind of system for generating standardized uptake value (SUV) based on medical image data
System includes following module: data preprocessing module, which pre-processes the medical image data；Data decimation mould
Block, the module carry out data decimation to the pretreated medical image data, select area-of-interest (ROI) mould
Block simultaneously marks focal zone；Data computation module, the module is in the area-of-interest (ROI) module, normalized intake
It is worth (SUV)；Data storage module, the module carry out data preservation to above-mentioned calculated result；Wherein, the data decimation module with
The data preprocessing module connection, the data computation module are connect with the data decimation module, and the data save mould
Block is connect with the data computation module；The pretreatment in the data preprocessing module includes by the institute of DICOM format
It states medical image data and is converted to NIFTI format；The pretreatment in the data preprocessing module further includes by the doctor
It learns image data and carries out standard form registration；The pretreatment in the data preprocessing module further includes to the medicine shadow
As data use medical image described in Gaussian smoothing；The standardized uptake value (SUV) in the data computation module includes
SUVbwAverage value and maximum value, SUVlbmAverage value and maximum value, SUVlbmnewAverage value and maximum value.
Further, the medical image data in the data decimation module can also be the original medicine shadow
As data.Further, the data computation module can also calculate the flat of CBF in the area-of-interest (ROI) module
Mean value and maximum value, wherein
Further, the data computation module can also be based on lesion side in the area-of-interest (ROI) module
Asymmetry (AI) is calculated with healthy side, AI=(H-L)/H × 100%, wherein H is healthy side, and L is lesion side.
Further, the data saved in the data storage module include but is not limited to the original of the medical image data
Number after data after beginning data, format conversion, the data after the registration, the smoothed out data, the pretreatment
According to, image data obtained in tri- kinds of data of the ROI region, SUV algorithms.
System and method of the present invention can all rely on the data parameters that system itself stores, and not need clinical people
Member manually enters, and reduces inaccuracy caused by human factor, carries out record to every item data without user and saves in batches,
Many cumbersome work are eliminated, error rate is reduced, while can be realized online division focal zone manually, is automatically performed and saves
Institute's data result in need, it is easy to operate, quick, greatly shorten the time that clinical research doctor analyzes data.
Detailed description of the invention
Fig. 1 is that the one kind provided in the embodiment of the present invention is based on medical image data generation standardized uptake value (SUV)
The flow diagram of method.
Fig. 2 is that the one kind provided in the embodiment of the present invention is based on medical image data generation standardized uptake value (SUV)
The configuration diagram of system.
Specific embodiment
A specific embodiment of the invention is described below, in order to facilitate understanding by those skilled in the art this hair
It is bright, it should be apparent that the present invention is not limited to the ranges of specific embodiment, for those skilled in the art,
As long as various change is in the spirit and scope of the present invention that the attached claims limit and determine, these variations are aobvious and easy
See, all are using the innovation and creation of present inventive concept in the column of protection.
Referring to attached drawing Fig. 1, Fig. 1 example goes out a kind of method for generating standardized uptake value (SUV) based on medical image data
Flow diagram.Described method includes following steps:
Step 1: being pre-processed to the medical image data；Wherein, pretreatment include will be described in DICOM format
Medical image data is converted to NIFTI format, further includes that the medical image data is carried out standard form registration, and to described
Medical image data uses medical image data described in Gaussian smoothing.
Step 2: user chooses region of interest to the pretreated medical image data in the first step
Domain (ROI) module, marks focal zone, wherein the medical image data can also be the original medical image data.
Step 3: calculating the standardized uptake value (SUV) in the area-of-interest (ROI) module, amounts to and calculate three
Kind SUV's as a result, SUVbw、SUVlbmAnd SUVlbmnew, and average value and maximum value respectively,
Lean body weight (LBM) is lean tissue mass's total amount.
Meanwhile two kinds of forms of CBF: average value and maximum value are calculated.
Wherein, w is delay time after label, marks time τ=1.5 second, bulk coefficient λ=0.9, labeling effciency ε=0.8
× 0.75 (suppress and mark in conjunction with background), blood inversion recovery time TIB=1.6 (under the magnetic fields 3T), the saturation of proton density
Recovery time TSAT=2.0 seconds, the saturation recovery of proton density weighted image corrected TIGM=1.2 seconds, NEX=2.ASLdiff was
It marks picture and controls the difference of picture, PDref is proton density weighting picture.
Also calculate separately lesion side and healthy side and asymmetry (AI) in each index as a result,
AI=(H-L)/H × 100%,
Wherein H is healthy side, and L is lesion side.
Step 4: carrying out data preservation to above-mentioned calculated result；The data saved include but is not limited to the medicine shadow
It is data after being converted as the initial data of data, the format, the data after the registration, the smoothed out data, described
Data after pretreatment, the data of the ROI region, image data obtained in tri- kinds of algorithms of the SUV, further include CBF image.
Fig. 2 is that the one kind provided in the embodiment of the present invention is based on medical image data generation standardized uptake value (SUV)
The configuration diagram of system.As shown in Fig. 2, the present invention, which provides one kind, generates standardized uptake value based on medical image data
(SUV) system, the system comprises following modules:
Data preprocessing module, the module pre-process the medical image data, the data preprocessing module
In the pretreatment include that the medical image data of DICOM format is converted to NIFTI format, the pretreatment is also wrapped
It includes and the medical image data is subjected to standard form registration, the pretreatment further includes using height to the medical image data
This smooth described medical image.
Data decimation module, the module carry out data decimation to the pretreated medical image data, choose
Area-of-interest (ROI) module and mark focal zone out.
Data computation module, the module is in the area-of-interest (ROI) module, normalized uptake values (SUV).
Data storage module, the module carry out data preservation to above-mentioned calculated result.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
The technology contents that the present invention does not elaborate belong to the well-known technique of those skilled in the art.
Although the illustrative specific embodiment of the present invention is described above, in order to the technology people of this technology neck
Member understands the present invention, it should be apparent that the present invention is not limited to the range of specific embodiment, to the ordinary skill of the art
For personnel, as long as various change is in the spirit and scope of the present invention that the attached claims limit and determine, these become
Change is it will be apparent that all utilize the innovation and creation of present inventive concept in the column of protection.
Claims (10)
1. the method that one kind generates standardized uptake value (SUV) based on medical image data, which is characterized in that the method includes
Following steps:
Step 1: being pre-processed to the medical image data；
Step 2: user chooses area-of-interest to the pretreated medical image data in the first step
(ROI) module marks focal zone；
Step 3: calculating the standardized uptake value (SUV) in the area-of-interest (ROI) module；
Step 4: carrying out data preservation to above-mentioned calculated result；
Wherein, pretreatment described in the first step includes that the medical image data of DICOM format is converted to NIFTI lattice
Formula；
The pretreatment further includes that the medical image data is carried out standard form registration；
The pretreatment further includes using medical image described in Gaussian smoothing to the medical image data；
Standardized uptake value described in the third step (SUV) includes SUVbwAverage value and maximum value, SUVlbmAverage value and
Maximum value, SUVlbmnewAverage value and maximum value.
2. the method for generating standardized uptake value (SUV) based on medical image data as described in claim 1, feature exist
In medical image data described in the second step can also be the original medical image data.
3. the method for generating standardized uptake value (SUV) based on medical image data as described in claim 1, feature exist
In, it further include calculating the average value and maximum value of CBF in the area-of-interest (ROI) module in the third step,
In,
4. the method for generating standardized uptake value (SUV) based on medical image data as described in claim 1, feature exist
In further including being calculated based on lesion side and healthy side asymmetric in the area-of-interest (ROI) module in the third step
Property (AI),
AI=(H-L)/H × 100%, wherein H is healthy side, and L is lesion side.
5. the method for generating standardized uptake value (SUV) based on medical image data as described in claim 1, feature exist
In the data of preservation described in the 4th step include but is not limited to the initial data of the medical image data, the lattice
Data after formula conversion, the data after the registration, it is described it is smooth after data after data, the pretreatment, the ROI region
Image data obtained in tri- kinds of data, SUV algorithms.
6. the system that one kind generates standardized uptake value (SUV) based on medical image data, which is characterized in that the system comprises
Following module:
Data preprocessing module, the module pre-process the medical image data；
Data decimation module, the module carry out data decimation to the pretreated medical image data, select sense
Interest region (ROI) module simultaneously marks focal zone；
Data computation module, the module is in the area-of-interest (ROI) module, normalized uptake values (SUV)；
Data storage module, the module carry out data preservation to above-mentioned calculated result；
The data decimation module is connect with the data preprocessing module, the data computation module and the data decimation mould
Block connection, the data storage module are connect with the data computation module；
Wherein, the pretreatment in the data preprocessing module includes turning the medical image data of DICOM format
It is changed to NIFTI format；
The pretreatment in the data preprocessing module further includes that the medical image data is carried out standard form registration；
The pretreatment in the data preprocessing module further includes using described in Gaussian smoothing the medical image data
Medical image；
The standardized uptake value (SUV) in the data computation module includes SUVbwAverage value and maximum value, SUVlbm's
Average value and maximum value, SUVlbmnewAverage value and maximum value.
7. the system for generating standardized uptake value (SUV) based on medical image data as claimed in claim 6, feature exist
In the medical image data in the data decimation module can also be the original medical image data.
8. the system for generating standardized uptake value (SUV) based on medical image data as claimed in claim 6, feature exist
In, the data computation module can also calculate the average value and maximum value of CBF in the area-of-interest (ROI) module,
Wherein,
9. the system for generating standardized uptake value (SUV) based on medical image data as claimed in claim 6, feature exist
In the data computation module can also be calculated not in the area-of-interest (ROI) module based on lesion side and healthy side
Symmetry (AI),
AI=(H-L)/H × 100%, wherein H is healthy side, and L is lesion side.
10. the system for generating standardized uptake value (SUV) based on medical image data as claimed in claim 6, feature exist
In the data saved in the data storage module include but is not limited to the initial data of the medical image data, the lattice
Data, the ROI region after data after formula conversion, the data after the registration, the pre-smoothed data, the pretreatment
Data, image data obtained in tri- kinds of algorithms of the SUV.
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| CN115005802A (en) * | 2022-07-21 | 2022-09-06 | 首都医科大学宣武医院 | Method, system and device for positioning onset part of brain network disease |
| WO2024022461A1 (en) * | 2022-07-27 | 2024-02-01 | 上海联影医疗科技股份有限公司 | Image processing method, apparatus and system, and storage medium |
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