CN109646033A - Image processing apparatus, image processing method and storage medium - Google Patents
Image processing apparatus, image processing method and storage medium Download PDFInfo
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- 238000012545 processing Methods 0.000 title claims abstract description 74
- 238000003672 processing method Methods 0.000 title claims abstract description 8
- 210000004556 brain Anatomy 0.000 claims abstract description 98
- 238000011156 evaluation Methods 0.000 claims abstract description 69
- 210000003484 anatomy Anatomy 0.000 claims abstract description 68
- 238000013507 mapping Methods 0.000 claims abstract description 21
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- 238000000034 method Methods 0.000 claims description 11
- 238000002224 dissection Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims 1
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- 238000003745 diagnosis Methods 0.000 description 2
- 210000001652 frontal lobe Anatomy 0.000 description 2
- 208000024827 Alzheimer disease Diseases 0.000 description 1
- 238000012935 Averaging Methods 0.000 description 1
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- 238000013459 approach Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- 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
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- 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
- A61B6/5205—Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
-
- 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
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30016—Brain
Abstract
The present invention relates to image processing apparatus, image processing method and storage mediums.The present invention provides the image processing apparatus that the setting freedom degree of area-of-interest increases.Image processing apparatus (1) has: input unit (10), inputs the Brain mapping picture of subject；Anatomical standardisation portion (20) carries out anatomical standardisation to the function image of subject；ROI candidate prompting part (21), its data that anatomical area is read from the standard brain data store (13) for the data for being stored with the anatomical area distributed on standard brain, prompts using the data of the anatomical area as the candidate of ROI；The configuration part ROI (22), obtains the selection to anatomical area, is based on one or more selected anatomical areas, sets ROI on the brain image by the subject of anatomical standardisation；Evaluation of estimate calculation part (23), based on the pixel value in ROI come Calculation Estimation value；With display unit (12), information related with calculated evaluation of estimate is shown.
Description
Technical field
The present invention relates to image processing apparatus, image processing method and storage mediums.
Background technique
It is the header functionality image of representative as progress brain function using brain blood flow SPECT image, glycometabolism PET image
The method locally evaluated and be widely used in clinic.For example, by the way that function reduction occurs with determining disease specific in intracerebral
Position, and using the position as area-of-interest (ROI) Lai Jinhang quantitative assessment, thus, it is possible to obtain to various degeneration diseases
The useful information of the diagnosis of disease.
Existing technical literature
Patent document
Patent document 1:WO2007/063656 bulletin
Patent document 1:WO2010/013300 bulletin
Summary of the invention
Problems to be solved by the invention
But in disclosed method before this, since the region for calculating evaluation of estimate is fixed, so can not spirit
It is coped with livingly in the analysis to different degenerative diseases.In addition, due to being only based on the evaluation calculated in area-of-interest
Be worth and judged, therefore there are following problems: cannot be distinguished value variation be because of degenerative disease caused by or because of other
Caused by key factor (such as the decline of blood flow caused by thrombus etc.).
The present invention is in view of above-mentioned background, and it is an object of the present invention to provide the figure that a kind of setting freedom degree of area-of-interest increases
As processing unit.
Means for solving the problems
Image processing apparatus of the invention has: input unit, inputs the Brain mapping picture of subject；Anatomical standardisation
Portion carries out anatomical standardisation to the above-mentioned function image of subject；ROI candidate prompting part, from being stored on standard brain
The storage units of the data for the anatomical area distributed reads the data of anatomical area, using the data of the anatomical area as
The candidate of ROI and prompt；The selection to above-mentioned anatomical area is obtained in the configuration part ROI, based on it is selected one or more
Anatomical area sets ROI on the brain image by the subject of anatomical standardisation；Evaluation of estimate calculation part, based on upper
It states the pixel value in ROI and carrys out Calculation Estimation value；And display unit, show information related with calculated evaluation of estimate.
The image processing apparatus of another way of the invention has: input unit, inputs the Brain mapping picture of subject；Become
Coefficient calculation part is changed, the transformation coefficient for the above-mentioned function image of subject to be transformed to the image of standard brain is calculated；ROI
Candidate prompting part reads anatomical area from the storage unit for the data for being stored with the anatomical area distributed on standard brain
Data are prompted using the data of the anatomical area as the candidate of ROI；The configuration part ROI is obtained to above-mentioned anatomical area
Selection, for one or more selected anatomical areas, using the inverse DCT coefficients of above-mentioned transformation coefficient carry out with it is tested
The matched transformation of the brain image of person, sets ROI in the brain image of subject；Evaluation of estimate calculation part, based on set upper
It states the pixel value in ROI and carrys out Calculation Estimation value；And display unit, show information related with calculated evaluation of estimate.
Invention effect
According to the present invention, operator can select desired from the anatomical area prompted by ROI candidate prompting part
Region simultaneously sets ROI.
Detailed description of the invention
[Fig. 1] is the figure for indicating the composition of image processing apparatus of the 1st embodiment.
[Fig. 2] is the figure for indicating the example of ROI candidate's hint image.
[Fig. 3] is the figure for indicating the example of display picture of evaluation result.
[Fig. 4] is the figure for indicating the movement of image processing apparatus of the 1st embodiment.
[Fig. 5] is the figure for indicating the example of ROI candidate's hint image in the 2nd embodiment.
[Fig. 6] is the figure for indicating the composition of image processing apparatus of the 3rd embodiment.
[Fig. 7] is the figure for indicating the movement of image processing apparatus of the 3rd embodiment.
Description of symbols
1,3 image processing apparatus
10 input units
11 control units
12 display units
13 standard brain data stores
20 anatomical standardisation portions
21 ROI candidate prompting parts
22 configuration parts ROI
23 evaluation of estimate calculation parts
24 result output sections
25 transformation coefficient acquisition units
Specific embodiment
Hereinafter, being illustrated referring to image processing apparatus of the attached drawing to embodiments of the present invention.In reality described below
It applies in mode, enumerates to using123I-IMP shoots the example that SPECT image obtained by the brain of subject carries out image procossing.Make
With123The SPECT image of I-IMP shooting is the image for showing the blood flow of brain of subject.It should be noted that figure of the invention
The image as handled by processing unit be not limited to using123The SPECT image of I-IMP shooting also includes bestowing other medicaments and obtaining
To SPECT image, the function image that is obtained using other modes of PET image, fMRI image etc..
(the 1st embodiment)
Fig. 1 is the figure for indicating the composition of image processing apparatus 1 of the 1st embodiment.The image procossing of 1st embodiment fills
Set 1 to have: input unit 10 inputs the data of the Brain mapping picture of subject；Control unit 11 is directed to inputted functional diagram
As setting ROI, the evaluation of estimate of the ROI is found out；Display unit 12 shows evaluation result；With standard brain data store 13, deposit
Contain the data of standard brain.
Input unit 10 is, for example, communication interface.By communication interface from the SPECT for the Brain mapping picture for having taken subject
The data of device receive capabilities image.Display unit 12 is, for example, display.
In a preferred manner, image processing apparatus 1 by having CPU, RAM, ROM, display, keyboard, mouse, communication connect
The computer of mouth etc. is constituted.The program for being used for image procossing is pre-stored within ROM, CPU reads and executes program from ROM, by
This computer carries out following processing, that is, carries out image procossing to the Brain mapping picture of subject and finds out evaluation of estimate.Such journey
Sequence and be stored with the ROM of program, other storage mediums are intended to be included within the scope of the present invention.
Control unit 11 has anatomical standardisation portion 20, ROI candidate prompting part 21, the configuration part ROI 22, evaluation of estimate calculation part
23 and result output section 24.Anatomical standardisation portion 20 carries out anatomical standardisation to the Brain mapping picture of subject, will be tested
The brain image of person is transformed to the image of standard brain.Anatomical standardisation processing can pass through known method, such as document
(Minoshima S et al., J.Nucl.Med., 1994,35, p.1528-37 or Friston K.J. et al., Human
Brain Mapping, 1995,2, p.189-210) method recorded in carries out.
The Brain mapping picture of subject is transformed to the mark of a series of brain surface image form by anatomical standardisation portion 20
Quasi- brain image.Brain surface image is certain section on the vertical line that will be hung down from from each point on brain surface to intracerebral subordinate (for example, from brain
Surface rise 6 pixels) in pixel maximum value or average value extract to obtained from brain surface (Minoshima S,
Frey KA, Koeppe RA, Foster NL, Kuhl DE:A diagnostic approach in Alzheimer ' s
disease using three-dimensional stereotactic surface projections of fluorine-
18-FDG PET.J Nucl Med.1995；36:1238-48.).
ROI candidate prompting part 21 has following function: being distributed from the reading standard brain of standard brain data store 13
The data of anatomical area, and prompted using the data of the anatomical area as the candidate of ROI.Used in present embodiment
Anatomical area is the region distributed according to the brain map of Talairach.It should be noted that anatomical area data need not limit
In the brain map of Talairach, available all data can be used according to the purpose of assay.For example, can make
With the brain mapping of Penfield, the brain mapping of Broadman.
Fig. 2 is the figure for indicating the hint image of the ROI candidate prompted by ROI candidate prompting part 21.In a preferred manner,
ROI candidate's hint image has the title of anatomical area and whether display has selected anatomical area as the final election of ROI
Frame.In ROI candidate's hint image, it can use check box and select multiple anatomical areas.
In addition, in a preferred manner, ROI candidate's hint image, which has confirmation (OK) button and cancels (Cancel), to be pressed
Button.At this point, determining that the anatomical area clicked is ROI candidate at the time point if selection ACK button.If selection takes
Disappear button, then the option for having entered check box is eliminated, and returns to previous picture.
ROI candidate prompting part 21 has " 1 (Group1) of group " " 2 (Group2) of group " " 3 (Group3) of group " " group 4 above
(Group4) " label as " 5 (Group5) of group ".As a result, operator can be set by switch labels group 1~groups 5 this 5
A ROI.
The combination of the anatomical area selected by ROI candidate prompting part 21 is set as ROI by the configuration part ROI 22.It can make
The data of set ROI are sent display unit 12 by the configuration part ROI 22, to show set ROI in display unit 12.
Display unit 12 for example keeps the anatomical area for being set to ROI colored and shows in standard brain template.
Evaluation of estimate calculation part 23 carrys out Calculation Estimation value using the pixel value in set ROI.In the present embodiment, it comments
Value calculation portion 23 find out the summation of the positive Z-score in ROI is normalized with the size of ROI (pixel number or area) and
The value obtained is as evaluation of estimate.Herein, Z-score is the value found out for each pixel, the pixel value of the image based on subject and
The pixel value of the average image of health volunteer is found out by following formula (1).
(formula 1)
Z-score=(summation averaging pixel value-subject pixel value of health volunteer)/health volunteer standard deviation
Poor pixel value
Evaluation of estimate calculation part 23 is calculated with the size (pixel number or area) of ROI to the picture in the ROI for being located at evaluation object
Value obtained by the summation of the positive Z-score of element is normalized, using the value as the evaluation of estimate of ROI.In the present embodiment, it comments
The left side and the right side that value calculation portion 23 divides ROI for brain, the summation for finding out the positive Z-score on the left side of ROI and the right side are just
Z-score summation, and divided by the pixel number of the corresponding ROI of each, so as to find out evaluation of estimate.
As a result the evaluation of estimate of the ROI calculated by evaluation of estimate calculation part 23 is transported to display unit 12 by output section 24, makes to evaluate
As a result it is shown in display unit 12.Herein, as a result output section 24 not only exports evaluation of estimate, but also will be by the Z-score of each pixel
The image data of generation, data of the evaluation of estimate based on health volunteer etc. are edited obtained by the data of chart be transported to
Display unit 12, so that being easily mastered evaluation result.
Fig. 3 is the example indicated in the picture of the evaluation result of the display of display unit 12.For showing the data quilt of the picture
Display unit 12 is transported to from result output section 24.It is check day shown by the region A1 on picture top, inspection method, tested
The information of person.There is the region A2 of display rheoencephalogram picture, the region A3 of display brain blood flow decline image in the left side of picture.Brain
Blood-stream image shows cerebral blood flow (CBF) using color.Although color is not shown in the attached drawing of patent gazette, with brain
Be green when being red, moderate when blood flow is more, it is few when be difference of the mode as blue according to cerebral blood flow (CBF) and
What slowly varying color was shown.In addition, rheoencephalogram picture is in this example with a series of brains to right lateral surface, left outside side etc.
Mode that surface image is coloured and show.
Brain blood flow decline image is to indicate (positive compared with the degree that cerebral blood flow (CBF) for health volunteer declines using color
The value of Z-score).Be green when being red, moderate when the degree of brain blood flow decline is big, it is few when be as blue in a manner of
It is shown with according to the different and slowly varying colors of cerebral blood flow (CBF).In addition, brain blood flow declines image also to a series of brain tables
Face image reflect the mode of the coloring of brain blood flow decline degree and show.
The evaluation result of each area-of-interest (ROI) is shown on the right side of picture.Have in upper right side and operation is shown
The region A4 of the information of the area-of-interest of person's setting.In this example, 1~group 5 this 5 area-of-interests of group are set, in standard
Coloring is on the brain surface image of brain to show each area-of-interest.Although not showing face in the attached drawing of patent gazette
Color, but organize 1~groups 5 label and be colored as orange, red, purple, blue, green color respectively, it is corresponding with each group in brain surface image
Area-of-interest also coloured with color identical with label.Operator can easily grasp set as a result,
ROI.
In the region of " degree of the brain blood flow decline in area-of-interest " on the right side of picture, shown with graph A 5 by commenting
The evaluation of estimate for each ROI that value calculation portion 23 is found out.The horizontal axis of chart illustrate that the group of set ROI number, with
And the left side and the right side of each ROI.The longitudinal axis of chart be with aggregate value of the size of ROI to positive Z-score is normalized and
The value obtained, the value indicate the degree of brain blood flow decline.In the graph, the evaluation of estimate calculated with dot mark for each ROI.Separately
Outside, in the graph, in order to be compared, the average value of the evaluation of estimate in health volunteer is shown with rectangle, is shown and is commented with horizontal line
The threshold value of value.Herein, threshold value is to judge the standard of evaluation of estimate abnormal (namely deviateing from normal condition).Shown in Fig. 3
In example, it is known that on the left and right of group 1 and the left side of group 2, evaluation of estimate is got higher beyond threshold value.Region A6 below picture is shown
The note automatically generated based on evaluation result is shown.
Fig. 4 is the figure for indicating the movement of image processing apparatus 1 of the 1st embodiment.In image processing apparatus 1, first by
Input unit 10 receives the input (S10) of the head medical image data of subject.In the present embodiment, to image processing apparatus
1 input uses123The SPECT image of I-IMP shooting is as head medical image data.Next, image processing apparatus 1 utilizes
The head medical image data of the 20 pairs of inputs in anatomical standardisation portion carries out anatomical standardisation (S11).
Then, image processing apparatus 1 makes ROI candidate prompting part 21 work, using the dissection school district defined on standard brain
The data in domain, and picture as shown in Figure 2 is utilized, the candidate (S12) of ROI is prompted to operator.If operated in this screen
Person is selected as the candidate anatomical area of ROI, then image processing apparatus 1 makes the configuration part ROI 22 work, and utilization is selected
The combination of anatomical area and set ROI (S13).Image processing apparatus 1 makes evaluation of estimate calculation part 23 work, and is passing through anatomy
In the image of standardized subject, the evaluation of estimate (S14) in ROI is calculated, the function of result output section 24 is next utilized, it will
The result of calculating is exported to display unit 12 (S15), shows that evaluation result in display unit 12.
More than, the image processing apparatus 1 and image processing method of the 1st embodiment are illustrated.
The image processing apparatus 1 of 1st embodiment prompts anatomical area as ROI candidate to operator, obtains to solution
The selection for cuing open school district domain sets ROI based on selected anatomical area, and thus, it is possible to improve the setting freedom degree of ROI.
Thereby, it is possible to arbitrarily set the ROI as the object for calculating evaluation of estimate, therefore it can be applied to all degenerations
The analysis of disease.For example, can only be evaluated in advance in the case where only evaluation in fixed disease specific area-of-interest
It is set as the disease of diagnosis object.But image processing apparatus 1 according to the present embodiment, operator are able to confirm that image and select
It selects anatomical area and sets arbitrary ROI, therefore be able to carry out the evaluation of any disease by the visual evaluation deduction of image.
For example, observing when gathering decline of frontal lobe, pass through the value in the evaluation of estimate that frontal lobe sets area-of-interest and calculates, Neng Gouping
Valence frontotemporal dementia (FTD) suffers from possibility.
Carry out Calculation Estimation value in addition, the image processing apparatus 1 of present embodiment divides ROI for the left side and the right side and export,
Therefore, it is easy to identify that the decline gathered is as caused by degenerative disease or the decline of the blood flow as caused by thrombus etc. causes
's；Etc..
(the 2nd embodiment)
Next, being illustrated to the image processing apparatus of the 2nd embodiment.The image processing apparatus of 2nd embodiment
It is basic composition it is identical with the image processing apparatus 1 of the 1st embodiment, but ROI candidate prompting part 21 prompt ROI candidate method
It is different.
Fig. 5 is the figure for indicating the prompt of ROI candidate prompting part 21 as the example of the picture of the anatomical area of ROI candidate.
ROI candidate prompting part 21 does not show that the title of anatomical area is prompted to operator instead of, passes through the 3D rendering in brain
On show anatomical area to prompt ROI candidate to operator.In this screen, want to be included in by operator's instruction
Desired anatomical area in ROI, as a result, to indicated area coloring, if selecting ACK button in this state,
Then determine that the anatomical area coloured is ROI candidate at the time point.
Anatomical area is overlapped into the 3D rendering of brain and shown by the image processing apparatus of the 2nd embodiment, therefore
Operator can easily grasp the position for wanting to be set as ROI.
(the 3rd embodiment)
Fig. 6 is the figure for indicating the composition of image processing apparatus 3 of the 3rd embodiment.It, will be tested in the 1st embodiment
The brain image of person is transformed to standard brain by anatomical standardisation, and in the 3rd embodiment, so as to set on standard brain
The matched mode of the brain image of ROI and subject carries out inverse transformation.
The basic composition of the image processing apparatus 3 of 3rd embodiment is identical as the image processing apparatus 1 of the 1st embodiment,
But the image processing apparatus 3 of the 3rd embodiment is also equipped with transformation coefficient calculating portion 25.
Transformation coefficient calculating portion 25 obtains and dissects by Brain mapping picture of the anatomical standardisation portion 20 to subject
The transformation coefficient used when learning standardization and transforming it into standard brain.The configuration part ROI 22 is based on being selected by ROI candidate prompting part 21
The combination for the anatomical area selected and set ROI.At this point, using the inversion of the transformation coefficient found out by transformation coefficient calculating portion 25
Coefficient is changed, carries out inverse transformation in a manner of keeping the brain image of ROI and subject in standard brain matched.Then, by evaluation of estimate meter
Calculation portion 23 carrys out Calculation Estimation value.As a result the evaluation of estimate of calculating is sent display unit 12 by output section 24.Alternatively, it is also possible to make result
ROI Jing Guo inverse transformation is overlapped into the brain image of subject and shown by output section 24.
Fig. 7 is the figure for indicating the movement of image processing apparatus 3 of the 3rd embodiment.In image processing apparatus 3, first by
Input unit 10 receives the input (S20) of the head medical image data of subject.In the present embodiment, to image processing apparatus
3 inputs use123The SPECT image of I-IMP shooting is as head medical image data.Next, image processing apparatus 3 utilizes
The head medical image data of the 20 pairs of inputs in anatomical standardisation portion carries out anatomical standardisation, then makes transformation coefficient calculating portion
25 work, obtain the transformation coefficient (S21) for carrying out using when anatomical standardisation.
Next, image processing apparatus 3 makes ROI candidate prompting part 21 work, using the anatomy defined on standard brain
The data in region, and picture as shown in Figure 2 is utilized, the candidate (S22) of ROI is prompted to operator.If grasped in this screen
Author is selected as the candidate anatomical area of ROI, then image processing apparatus 3 makes the configuration part ROI 22 work, using selected
Anatomical area combination and set ROI (S23).At this point, what the utilization of the configuration part ROI 22 was found out by transformation coefficient calculating portion 25
The inverse DCT coefficients of transformation coefficient carry out inverse transformation in a manner of keeping the brain image of ROI and subject in standard brain matched,
ROI is set in the brain image of subject.Image processing apparatus 3 makes evaluation of estimate calculation part 23 work, and calculates the evaluation of estimate in ROI
(S24), next, using result output section 24 function, the result of calculating is exported to display unit 12 (S25), make evaluation tie
Fruit shows in display unit 12.
More than, the image processing apparatus 3 and image processing method of the 3rd embodiment are illustrated.
The image processing apparatus 3 of 3rd embodiment carries out inversion in a manner of keeping the brain image of ROI and subject matched
It changes, is overlapped into the brain image of subject, therefore the variation of cerebral blood flow (CBF) can be examined in the brain image of subject.
It should be noted that in the present embodiment, having enumerated the image processing apparatus of basic composition and the 1st embodiment
1 identical example, but basic constitute can also be identical as the image processing apparatus 2 of the 2nd embodiment.That is, can also use down
It states composition: showing anatomical area on the 3D rendering of brain as illustrated in fig. 5 having to prompt ROI candidate to operator
ROI candidate prompting part 21 image processing apparatus 2 in, when showing ROI, by with the brain image of subject it is matched in a manner of,
Inverse transformation is carried out to the ROI on standard brain.
More than, the composition and movement of the image processing apparatus of embodiments of the present invention are illustrated, but the present invention
Image processing apparatus be not limited to above-mentioned embodiment.In the above-described embodiment, the size pair found out with ROI has been enumerated
Value obtained by the summation of positive Z-score is normalized is illustrated as the example of evaluation of estimate, but image processing apparatus can also
To find out evaluation of estimate in addition to this.For example, the summation that image processing apparatus can find out the positive Z-score in ROI is used as and comments
Value can also make it find out the serious angle value (Severity) for the size in region for indicating Z-score defined threshold or more, table
Show the degree value (Extent) of serious angle value ratio shared in ROI as evaluation of estimate (Mizumura et al., Annals of
Nuclear Medicine, Vol.17, No.4,289-295,2003).
In the above-described embodiment, the example for showing evaluation result on brain surface image has been enumerated, but can also have been adopted
Brain surface image is replaced with faultage image.For example, anatomical standardisation portion 20 can be made to convert the Brain mapping picture of subject
For the standard brain image of a series of faultage image form.In this case, the configuration part ROI 22 is on a series of faultage image
ROI is set, evaluation of estimate calculation part 23 calculates evaluation of estimate in the ROI being set on faultage image.In addition, in using standardization
Using transformation coefficient (the 3rd embodiment) in by the way of inverse transformation is carried out to set ROI, can also be to being set to tomography
ROI on image carries out inverse transformation, matches the shape of ROI with the brain image of subject, shows on the faultage image of subject
ROI by inverse transformation is shown.
Industrial availability
It is useful that the present invention carries out device of image procossing etc. as the function image to subject.
Claims (9)
1. image processing apparatus has:
Input unit, the Brain mapping picture of the input unit input subject；
Anatomical standardisation portion, the anatomical standardisation portion carry out anatomical standardisation to the function image of subject；
ROI candidate prompting part, ROI candidate prompting part is from the data for being stored with the anatomical area distributed on standard brain
Storage unit reads the data of anatomical area, prompts using the data of the anatomical area as the candidate of ROI；
The selection to the anatomical area is obtained in the configuration part ROI, the configuration part ROI, based on one or more selected solutions
School district domain is cutd open, sets ROI on the brain image by the subject of anatomical standardisation；
Evaluation of estimate calculation part, institute's evaluation values calculation part is based on the pixel value in the ROI come Calculation Estimation value；With
Display unit, the display unit show information related with calculated evaluation of estimate.
2. image processing apparatus has:
Input unit, the Brain mapping picture of the input unit input subject；
Transformation coefficient calculating portion, transformation coefficient calculating portion are calculated for the function image of subject to be transformed to standard
The transformation coefficient of the image of brain；
ROI candidate prompting part, ROI candidate prompting part is from the data for being stored with the anatomical area distributed on standard brain
Storage unit reads the data of anatomical area, prompts using the data of the anatomical area as the candidate of ROI；
The selection to the anatomical area is obtained in the configuration part ROI, the configuration part ROI, for one or more selected solutions
School district domain is cutd open, the matched transformation of brain image with subject is carried out using the inverse DCT coefficients of the transformation coefficient, in subject
Brain image on set ROI；
Evaluation of estimate calculation part, institute's evaluation values calculation part is based on the pixel value in the set ROI come Calculation Estimation value；With
Display unit, the display unit show information related with calculated evaluation of estimate.
3. image processing apparatus as claimed in claim 1 or 2, wherein in institute's evaluation values calculation part, as the evaluation
Value, to the summation of the positive Z-score in the ROI, with the size of the ROI to the summation of the positive Z-score in the ROI into
Value obtained by row normalization, indicates that serious angle value exists at the serious angle value of the size in the region that expression Z-score is defined threshold or more
Shared at least one of the degree value of ratio is calculated in the ROI.
4. image processing apparatus as claimed in claim 1 or 2, wherein the display unit is by the evaluation based on health volunteer
The data of value are shown together with the evaluation of estimate of subject.
5. image processing apparatus as claimed in claim 1 or 2, wherein institute's evaluation values calculation part divides the ROI for the right side
And the left side, and the evaluation of estimate in each face is calculated,
The display unit shows the evaluation of estimate of right and left.
6. image processing method is the side for carrying out image procossing to the Brain mapping picture of subject using image processing apparatus
Method, the method includes the following steps:
To described image processing unit input subject Brain mapping as the step of；
The step of described image processing unit carries out anatomical standardisation to the function image of subject；
Described image processing unit reads from the storage unit for the data for being stored with the anatomical area distributed on standard brain and dissects
The data in school district domain, the step of the data of the anatomical area are prompted as the candidate of ROI；
Described image processing unit obtains the selection to the anatomical area, based on one or more selected dissection school districts
Domain, in the step of setting ROI on the brain image by the subject of anatomical standardisation；
Described image processing unit based on the pixel value in the ROI come Calculation Estimation value the step of；With
Described image processing unit shows the step of information related with calculated evaluation of estimate.
7. image processing method is the side for carrying out image procossing to the Brain mapping picture of subject using image processing apparatus
Method, the method includes the following steps:
To described image processing unit input subject Brain mapping as the step of；
Described image processing unit calculates the transformation series for the function image of subject to be transformed to the image of standard brain
Several steps；
Described image processing unit reads from the storage unit for the data for being stored with the anatomical area distributed on standard brain and dissects
The data in school district domain, the step of the data of the anatomical area are prompted as the candidate of ROI；
Described image processing unit obtains the selection to the anatomical area, for one or more selected dissection school districts
Domain carries out the matched transformation of brain image with subject using the inverse DCT coefficients of the transformation coefficient, in the mind map of subject
As the step of upper setting ROI；
Described image processing unit based on the pixel value in the set ROI come Calculation Estimation value the step of；With
Described image processing unit shows the step of information related with calculated evaluation of estimate.
8. computer-readable storage medium is to be stored with the program for carrying out image procossing to the Brain mapping picture of subject
Storage medium, described program executes following step when being computer-executed:
The step of anatomical standardisation is carried out to the function image of subject；
The data that anatomical area is read from the storage unit for the data for being stored with the anatomical area distributed on standard brain, by this
The data of anatomical area as ROI candidate and the step of prompt；
The selection to the anatomical area is obtained, one or more selected anatomical areas are based on, is passing through anatomy mark
The step of ROI is set in the brain image of the subject of standardization；
The step of based on the pixel value in the ROI come Calculation Estimation value；With
It will information related with calculated evaluation of estimate the step of exporting to display unit.
9. computer-readable storage medium is to be stored with the program for carrying out image procossing to the Brain mapping picture of subject
Storage medium, described program executes following step when being computer-executed:
The step of calculating the transformation coefficient of the image for the function image of subject to be transformed to standard brain；
The data that anatomical area is read from the storage unit for the data for being stored with the anatomical area distributed on standard brain, by this
The data of anatomical area as ROI candidate and the step of prompt；
The selection to the anatomical area is obtained, for one or more selected anatomical areas, utilizes the transformation series
Several inverse DCT coefficients carry out the matched transformation of brain image with subject, in the step of setting ROI in the brain image of subject；
The step of based on the pixel value in the set ROI come Calculation Estimation value；With
It will information related with calculated evaluation of estimate the step of exporting to display unit.
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| JP2017-198835 | 2017-10-12 | ||
| JP2017198835A JP6882136B2 (en) | 2017-10-12 | 2017-10-12 | Image processing equipment, image processing methods and programs |
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| JP (1) | JP6882136B2 (en) |
| KR (1) | KR20190041411A (en) |
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| CN112967168A (en) * | 2019-11-28 | 2021-06-15 | 株式会社日立制作所 | Medical image processing apparatus, medical image analysis apparatus, and standard image creation program |
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| KR102344157B1 (en) * | 2019-11-27 | 2021-12-28 | 연세대학교 산학협력단 | System for Processing Medical Image and Clinical Factor for Individualized Diagnosis of Stroke |
| JPWO2021220597A1 (en) * | 2020-04-28 | 2021-11-04 |
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| JP6882136B2 (en) | 2021-06-02 |
| KR20190041411A (en) | 2019-04-22 |
| TW201923777A (en) | 2019-06-16 |
| JP2019074343A (en) | 2019-05-16 |
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