CN106388867A - Automatic identification measurement method for intima-media membrane in blood vessel and ultrasonic apparatus - Google Patents
Automatic identification measurement method for intima-media membrane in blood vessel and ultrasonic apparatus Download PDFInfo
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- CN106388867A CN106388867A CN201610867101.8A CN201610867101A CN106388867A CN 106388867 A CN106388867 A CN 106388867A CN 201610867101 A CN201610867101 A CN 201610867101A CN 106388867 A CN106388867 A CN 106388867A
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- lower limb
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0833—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving detecting or locating foreign bodies or organic structures
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0891—Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of blood vessels
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/46—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient
- A61B8/467—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient characterised by special input means
- A61B8/469—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient characterised by special input means for selection of a region of interest
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/48—Diagnostic techniques
Abstract
The invention discloses an automatic identification measurement method for an intima-media membrane in a blood vessel. The automatic identification measurement method comprises the following steps: obtaining blood vessel edge candidate points of the blood vessel on each echo line on a B ultrasound image; according to a pre-set blood vessel edge identification rule, determining one group of blood vessel upper edge and blood vessel lower edge corresponding to each echo line from the blood vessel edge candidate points on each echo line respectively; obtaining position coordinates of each group of the blood vessel upper edge and the blood vessel lower edge; sequencing the position coordinates of each group of the blood vessel upper edge and the blood vessel lower edge according to a pre-set depth direction, and gathering each position coordinate; determining a target blood vessel rear wall; according to the length and pre-set height of the target blood vessel rear wall, determining the size and position of an ROI frame; identifying positions of an intima membrane and a media membrane of the target blood vessel rear wall in the ROI frame; and measuring and displaying an intima-media membrane thickness IMT of the target blood vessel rear wall. The invention further discloses an ultrasonic apparatus. By adopting the automatic identification measurement method and the ultrasonic apparatus, provided by the invention, an operation process can be simplified and the diagnostic efficiency is improved.
Description
Technical field
The present invention relates to field of measuring technique, the interior middle film automatic identification measuring method of more particularly, to a kind of blood vessel and ultrasonic
Instrument.
Background technology
The cardiovascular and cerebrovascular disease occurring on the basis of atherosclerotic lesion is one of topmost disease of modern, and
Atherosclerosiss have a process hiding development for a long time, show according to the study, carotid intimal medial thickness IMT (IMT, inti
Ma-media thickness, Internal-media thickness, namely inner film thickness and media thickness sum) with many heart and brain such as myocardial infarction
Angiopathy has obvious dependency, therefore can be predicted in advance according to the measurement result to carotid intimal medial thickness IMT
The degree of risk of relevant disease.However, have only at present ultrasonic technique can IMT be carried out in real time hurtless measure effectively measuring.
Therefore, IMT e measurement technology is widely used in the medical ultrasonic practice of carotid artery diagnosis at present.
The measurement of IMT mainly carries out pattern recognition by the image ultrasonic to conventional Type B, finds most probable carotid artery
Interior middle film simultaneously shows, then calculates corresponding measurement parameter (outside Internal-media thickness IMT, vessel diameter value and blood vessel
Footpath value etc.).Due to actual carotid image, different people has different feature of image, and prior art is by carotid artery portion
After the B ultrasonic freeze frame of position, by one ROI frame of user's unrestricted choice (ROI, region of interest, area interested
Domain), then start the IMT algorithm pre-setting and carry out the doubtful thing of middle film in the carotid artery of this ROI inframe of Automatic-searching, and calculate
Corresponding measured value.However, the process of user's unrestricted choice ROI frame is the manual operation needing user to carry out many all the time, such as
The position of mobile ROI frame, also zooms in or out the size of ROI frame, that is, select the process of ROI frame to need user's repeatable operation key
Disk and the trace ball controlling mouse, operation is more complicated, thus leading to diagnosis and treatment inefficiency.
Content of the invention
Present invention is primarily targeted at providing a kind of interior middle film automatic identification measuring method of blood vessel it is intended to simplify operation
Process and raising diagnosis efficiency.
To achieve these goals, the present invention provides a kind of interior middle film automatic identification measuring method of blood vessel, described blood vessel
The automatic identifying method of interior middle film measurement comprises the following steps:
The vessel boundary candidate point of blood vessel is obtained on each echo line on B ultrasonic image;
According to default vessel boundary recognition rule, in the described vessel boundary candidate point on each described echo line respectively
Determine the corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb;
Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to each group
The position coordinateses of described blood vessel top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered, and determine
Target blood rear wall;
Length according to described target blood rear wall and default height, determine in current B ultrasonic image the size of ROI frame and
Position;
The inner membrance of target blood rear wall described in described ROI frame and the position of middle film are identified, and measure and show
The Internal-media thickness IMT of described target blood rear wall.
Preferably, the vessel boundary candidate point each echo line on the described image in B ultrasonic obtaining blood vessel is specially:
According to the ranking results of the shade of gray of diverse location on echo line, each echo line on B ultrasonic image obtains
The vessel boundary candidate point of blood vessel;Described vessel boundary candidate point includes blood vessel top edge candidate point and blood vessel lower limb candidate
Point.
Preferably, described according to default vessel boundary recognition rule, the described vessel boundary on each described echo line
Determine in candidate point that the corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb include respectively:
Set up the weighting coefficient table corresponding one by one with vessel depth and blood vessel width, described weighting coefficient table includes and blood
The corresponding depth weight coefficient of pipe depth and the width weight coefficient corresponding with blood vessel width;
Shade of gray according to corresponding to diverse location on the respective weights coefficient in described weighting coefficient table and echo line,
The corresponding weight highest one of each echo line is determined respectively in the described vessel boundary candidate point on each described echo line
Group blood vessel top edge and blood vessel lower limb, and as the blood vessel top edge on corresponding echo line and blood vessel lower limb.
Preferably, the described position coordinateses obtaining blood vessel top edge and blood vessel lower limb described in each group, according to default depth
Degree direction is ranked up to the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, and each described position coordinateses are entered
Row cluster, determines that target blood rear wall includes:
Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to each group
The position coordinateses of described blood vessel top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered;
According to cluster result, obtain the continuous rear wall of one section of blood vessel the longest, using continuous for described blood vessel the longest rear wall as
Target blood rear wall.
Preferably, described default depth direction is direction from shallow to deep.
Additionally, for achieving the above object, the present invention also provides a kind of Ultrasound Instrument, and described Ultrasound Instrument includes:
Acquisition module:For the vessel boundary candidate point of blood vessel is obtained on each echo line on B ultrasonic image;
Analysis module:According to default vessel boundary recognition rule, the described vessel boundary on each described echo line is waited
The corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb is determined respectively in reconnaissance;
Processing module:Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth
Direction is ranked up to the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, and each described position coordinateses are carried out
Cluster, determines target blood rear wall;
Determining module:Length according to described target blood rear wall and default height, determine ROI in current B ultrasonic image
The size and location of frame;
Interior middle film identification module:For entering to the inner membrance of target blood rear wall described in described ROI frame and the position of middle film
Row identification;
Measurement module:For measuring and showing the Internal-media thickness IMT of described target blood rear wall.
Preferably, the ranking results according to diverse location shade of gray on echo line, on each echo line on B ultrasonic image
Obtain the vessel boundary candidate point of blood vessel;Described vessel boundary candidate point includes blood vessel top edge candidate point and blood vessel lower limb is waited
Reconnaissance.
Preferably, described analysis module includes:
Weighting coefficient table sets up unit:For setting up the weight coefficient corresponding one by one with vessel depth and blood vessel width
Table, described weighting coefficient table includes the depth weight coefficient corresponding with vessel depth and the width corresponding with blood vessel width
Weight coefficient;
Vessel boundary determining unit:For according to different on the respective weights coefficient in described weighting coefficient table and echo line
Shade of gray corresponding to position, determines each echo in the described vessel boundary candidate point on each described echo line respectively
Line one group of blood vessel top edge of corresponding weight highest and blood vessel lower limb, and as the blood vessel top on corresponding echo line
Edge and blood vessel lower limb.
Preferably, described determining module specifically for:
Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to each group
The position coordinateses of described blood vessel top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered;And root
According to cluster result, the continuous rear wall of one section of blood vessel the longest of acquisition, using continuous for described blood vessel the longest rear wall as after target blood
Wall.
Preferably, described default depth direction is direction from shallow to deep.
The present invention provides a kind of interior middle film automatic identification measuring method of blood vessel, the interior middle film automatic identification measurement of this blood vessel
Method comprises the following steps:The vessel boundary candidate point of blood vessel is obtained on each echo line on B ultrasonic image;According to default blood
Tube edges recognition rule, determines that in the described vessel boundary candidate point on each described echo line each echo line corresponds to respectively
One group of blood vessel top edge and blood vessel lower limb;Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, press
According to default depth direction, the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group are ranked up, and to each described
Position coordinateses are clustered, and determine target blood rear wall;Length according to described target blood rear wall and default height, determine
The size and location of ROI frame in current B ultrasonic image;Position to the inner membrance of target blood rear wall and middle film described in described ROI frame
Put and be identified, and measure and show the Internal-media thickness IMT of described target blood rear wall.The interior middle film of blood vessel of the present invention is automatic
Identification measuring method, due to can automatically determine in current B ultrasonic image in the size and location of ROI frame automatic identification blood vessel
Middle film in the position of described ROI inframe, without user manually go to determine in current B ultrasonic image the size of ROI frame and
Position, thus simplifying operating process, improves medical diagnosis on disease efficiency.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, acceptable
Structure according to these accompanying drawings obtains other accompanying drawings.
Fig. 1 is the schematic flow sheet of the interior middle film automatic identification measuring method first embodiment of blood vessel of the present invention;
Fig. 2 is the high-level schematic functional block diagram of Ultrasound Instrument first embodiment of the present invention;
Fig. 3 is the refinement high-level schematic functional block diagram of analysis module in Ultrasound Instrument second embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will be described further in conjunction with the embodiments referring to the drawings.
Specific embodiment
It should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
The present invention provides a kind of interior middle film automatic identification measuring method of blood vessel, with reference to Fig. 1, in one embodiment, this blood
The interior middle film automatic identification measuring method of pipe comprises the following steps:
Step S10, obtains the vessel boundary candidate point of blood vessel on each echo line on B ultrasonic image;
The interior middle film automatic identification measuring method of blood vessel provided in an embodiment of the present invention is mainly used in medical ultrasonic practice
In, for the identifying and diagnosing of the B ultrasonic image of the relevant diseases such as cardiovascular and cerebrovascular vessel, the risk being occurred with advance notice patient's relevant disease
Degree.For example, the Internal-media thickness IMT of the carotid artery vascular of human body just have with many cardiovascular and cerebrovascular diseases such as myocardial infarctions bright
Aobvious dependency, therefore can be according to the measurement result of the Internal-media thickness IMT of carotid artery vascular, its cardiac muscle of advance notice patient
The degree of risk that infraction occurs.In the present embodiment, taking the automatic identification measurement to carotid interior middle film as a example real to the present invention
The interior middle film automatic identification measuring method applying a blood vessel is described in detail.
Specifically, from medical anatomy knowledge, the carotid artery vascular in human body must have certain on B ultrasonic image
Depth bounds and certain width range, and its depth bounds and width range can not arbitrarily change, therefore, carotid artery vascular
Vary in the probability of the diverse location of B ultrasonic image, assume a kind of form of distribution probability, some positions are vessel boundaries
The probability of (i.e. blood vessel wall) is high, and some positions are that the probability of vessel boundary is low, and therefore, the depth of carotid artery vascular and neck move
The width of arteries and veins blood vessel can be used to identify the weight coefficient of carotid artery vascular image.Simultaneously as carotid vessel boundary
There is hyperechoic characteristic, display location on B ultrasonic image for the therefore carotid vessel boundary also has higher gray scale ladder
Degree;And blood flow has hypoechoic characteristic in itself, therefore, the blood flow in carotid artery vascular will have on B ultrasonic image significantly bright
Not, that is, the shade of gray of carotid vessel boundary is also the primary reference point identifying blood-vessel image on B ultrasonic image for dark space
One of.
The interior middle film automatic identification measuring method of embodiment of the present invention blood vessel, is each echo line on B ultrasonic image first
The upper vessel boundary candidate point obtaining blood vessel.Specifically, the interior middle film automatic identification measuring method of embodiment of the present invention blood vessel is first
Ranking results according to diverse location shade of gray on echo line before this, obtain blood vessel on each echo line on B ultrasonic image
Vessel boundary candidate point, using the maximum several points of gradient as the vessel boundary candidate point of blood vessel;Described vessel boundary candidate point
Including blood vessel top edge candidate point and blood vessel lower limb candidate point.Specifically, the present embodiment is to described vessel boundary candidate point
Obtain, be by the blood vessel side to the direction finding strength tremulous pulse from shallow to deep along depth direction of each echo line on B ultrasonic image
The point of the candidate point of edge, too superficial discards first, then searches out gray scale ladder on each echo line on B ultrasonic image respectively
Spend the point for extreme value, the point that shade of gray on echo line is extreme value is as the vessel boundary candidate point of this echo line, described blood
Tube edges candidate point includes blood vessel top edge candidate point and blood vessel lower limb candidate point.
Step S20, according to default vessel boundary recognition rule, the described vessel boundary candidate on each described echo line
The corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb is determined respectively in point;
Specifically, each echo line on B ultrasonic image for the interior middle film automatic identification measuring method of embodiment of the present invention blood vessel
On get carotid artery vascular vessel boundary candidate point after, according to default vessel boundary recognition rule, at each described time
Determine respectively in described vessel boundary candidate point on swash under the corresponding one group of blood vessel top edge of each echo line and blood vessel
Edge.In the present embodiment, the corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb to be determined, need in advance
Set up a weighting coefficient table corresponding one by one with vessel depth and blood vessel width, described weighting coefficient table includes deep with blood vessel
Spend corresponding depth weight coefficient and the width weight coefficient corresponding with blood vessel width.With depth weight coefficient it is below
Example illustrates to weight coefficient:As the carotid artery of human body major arteries, the depth of its blood vessel has a rotine positioning, according to
Empirical value, can arrange 2 adjustable border empirical parameter values, i.e. minimum-depth parameter value and depth capacity parameter value, then
Using this two border empirical parameter values, the adjustable smooth gradient ramp of one multiparameter of generation can be programmed, such that it is able to incite somebody to action
Different depth value is mapped as different weight coefficients.
The present embodiment, then can be according to the respective weights system in described weighting coefficient table after setting up described weighting coefficient table
Shade of gray corresponding to diverse location on number and echo line, divides in the described vessel boundary candidate point on each described echo line
Do not determine the corresponding one group of blood vessel top edge of weight highest of each echo line and blood vessel lower limb, and return as corresponding
Blood vessel top edge on swash and blood vessel lower limb.
Step S30, obtains the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth side
It is ranked up to the position coordinateses to blood vessel top edge and blood vessel lower limb described in each group, and each described position coordinateses are gathered
Class, determines target blood rear wall;
Specifically, in the present embodiment, determine the corresponding blood vessel top edge of each echo line and blood vessel lower limb it
Afterwards, the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group are then obtained, then according to default depth direction pair
Described in each group, the position coordinateses of blood vessel top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered
(wherein, described sequence and cluster are all rudimentary algorithms in image recognition technology, and here is omitted), thus obtain one section
The long continuous rear wall of blood vessel, and using continuous for described blood vessel the longest rear wall as target blood rear wall.In the present embodiment, described pre-
If depth direction be direction from shallow to deep.
Step S40, the length according to described target blood rear wall and default height, determine ROI frame in current B ultrasonic image
Size and location;
Specifically, in the present embodiment, using the position of described target blood rear wall as the reference position of described ROI frame,
Using the length of described target blood rear wall as described ROI frame datum width, in addition, the height of described ROI frame can basis
The height value of the optimum pre-setting is set, and such that it is able to obtain the parameter coordinate of described ROI frame, and then determines described
The size and location of ROI frame.
In addition, it is necessary to explanation, in the present embodiment, if user is to middle film sense in other regions of B ultrasonic image
Interest it is also possible to according to the demand of checking of user, mode manually moves described ROI frame, by mobile described ROI frame Lai
Specify the image-region wanting to check.
Step S50, is identified to the inner membrance of target blood rear wall described in described ROI frame and the position of middle film, and surveys
Amount and the Internal-media thickness IMT showing described target blood rear wall.
It is understood that in the present embodiment, to the inner membrance of target blood rear wall described in described ROI frame and middle film
Position is identified, and is the basic application of conventional Ultrasound IMT technology of identification, belongs to routine techniquess, have various ways it is achieved that
For example, it is possible in the described target blood rear wall of described ROI frame, to calculate described mesh according to pre-set energy function
Near mark blood vessel rear wall, the energy values of each pixel, find out the match point with extreme value, you can after obtaining described target blood
The corresponding tunica intima of the wall and middle film particular location on image.In addition, measuring and showing the interior of described target blood rear wall
Media thickness IMT is also existing routine techniquess, and here is omitted.
The interior middle film automatic identification measuring method of this blood vessel that the present invention provides, comprises the following steps:On B ultrasonic image
The vessel boundary candidate point of blood vessel is obtained on each echo line;According to default vessel boundary recognition rule, in each described echo line
On described vessel boundary candidate point in determine the corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb respectively;
Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to blood vessel described in each group
The position coordinateses of top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered, and determine target blood
Rear wall;Length according to described target blood rear wall and default height, determine the size of ROI frame and position in current B ultrasonic image
Put;The inner membrance of target blood rear wall described in described ROI frame and the position of middle film are identified, and measure and show described mesh
The Internal-media thickness IMT of mark blood vessel rear wall.The interior middle film automatic identification measuring method of blood vessel of the present invention, due to automatically determining
The size and location of the ROI frame interior middle film of automatic identification blood vessel is in the position of described ROI inframe in current B ultrasonic image, and not
Needing user manually to go to determine the size and location of ROI frame in current B ultrasonic image, thus simplifying operating process, improving
Medical diagnosis on disease efficiency.
The present invention also provides a kind of Ultrasound Instrument, and with reference to Fig. 2, in one embodiment, the Ultrasound Instrument 100 that the present invention provides includes
Acquisition module 101, analysis module 102, processing module 103, determining module 104 and measurement module 105.
Wherein, described acquisition module 101:Vessel boundary for obtaining blood vessel on each echo line on B ultrasonic image is waited
Reconnaissance;
Ultrasound Instrument provided in an embodiment of the present invention is applied in medical ultrasonic practice, for relevant diseases such as cardiovascular and cerebrovascular vessel
The identifying and diagnosing of B ultrasonic image, the degree of risk being occurred with advance notice patient's relevant disease.For example, the carotid artery vascular of human body
Internal-media thickness IMT just have obvious dependency with many cardiovascular and cerebrovascular diseases such as myocardial infarctions, therefore can be by super
Sound instrument measures to the Internal-media thickness IMT of human carotid's blood vessel, according to measurement result, its cardiac muscle stalk of advance notice patient
The degree of risk that plug occurs.In following embodiment, taking the automatic identification measurement to carotid interior middle film as a example come to this
Bright embodiment Ultrasound Instrument is described in detail.
Specifically, from medical anatomy knowledge, the carotid artery vascular in human body must have certain on B ultrasonic image
Depth bounds and certain width range, and its depth bounds and width range can not arbitrarily change, therefore, carotid artery vascular
Vary in the probability of the diverse location of B ultrasonic image, assume a kind of form of distribution probability, some positions are vessel boundaries
The probability of (i.e. blood vessel wall) is high, and some positions are that the probability of vessel boundary is low, and therefore, the depth of carotid artery vascular and neck move
The width of arteries and veins blood vessel can be used to identify the weight coefficient of carotid artery vascular image.Simultaneously as carotid vessel boundary
There is hyperechoic characteristic, display location on B ultrasonic image for the therefore carotid vessel boundary also has higher gray scale ladder
Degree;And blood flow has hypoechoic characteristic in itself, therefore, the blood flow in carotid artery vascular will have on B ultrasonic image significantly bright
Not, that is, the shade of gray of carotid vessel boundary is also the primary reference point identifying blood-vessel image on B ultrasonic image for dark space
One of.
Embodiment of the present invention Ultrasound Instrument, is that acquisition module 101 obtains blood vessel on each echo line on B ultrasonic image first
Vessel boundary candidate point.Specifically, in the embodiment of the present invention, described acquisition module 101 is according to diverse location gray scale on echo line
The ranking results of gradient, obtain the vessel boundary candidate point of blood vessel on each echo line on B ultrasonic image, several with gradient maximum
Individual point is as the vessel boundary candidate point of blood vessel;Described vessel boundary candidate point includes blood vessel top edge candidate point and blood vessel is following
Edge candidate point.Specifically, in the present embodiment, the acquisition to described vessel boundary candidate point for the described acquisition module 101, is by right
The candidate point of the vessel boundary of direction finding strength tremulous pulse from shallow to deep along depth direction of each echo line on B ultrasonic image, too
The point crossing superficial discards first, then searches out the point that shade of gray is extreme value on each echo line on B ultrasonic image respectively,
The point that shade of gray on echo line is extreme value is as the vessel boundary candidate point of this echo line, described vessel boundary candidate point bag
Include blood vessel top edge candidate point and blood vessel lower limb candidate point.
Described analysis module 102:For according to default vessel boundary recognition rule, described on each described echo line
The corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb is determined respectively in vessel boundary candidate point;
Specifically, in the embodiment of the present invention, described acquisition module 101 gets neck on each echo line on B ultrasonic image
After arterial vascular vessel boundary candidate point, described analysis module 102 according to default vessel boundary recognition rule, in each institute
State and in the described vessel boundary candidate point on echo line, determine the corresponding one group of blood vessel top edge of each echo line and blood respectively
Pipe lower limb.
Described processing module 103:For obtaining the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to
Default depth direction is ranked up to the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, and to each institute rheme
Put coordinate to be clustered, determine target blood rear wall;
Specifically, in the present embodiment, the corresponding blood vessel top edge of each echo line is determined by described analysis module 102
The position of blood vessel top edge and blood vessel lower limb described in each group after blood vessel lower limb, is then obtained by described processing module 103
Put coordinate, then according to default depth direction is arranged to the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group
Sequence, and each described position coordinateses are clustered with (wherein, described sequence and cluster are all basic calculations in image recognition technology
Method, here is omitted), thus obtaining the continuous rear wall of one section of blood vessel the longest, and continuous for described blood vessel the longest rear wall is made
For target blood rear wall.In the present embodiment, described default depth direction is direction from shallow to deep.
Described determining module 104:For the length according to described target blood rear wall and default height, determine current B
The size and location of ROI frame in hypergraph picture;
Specifically, in the present embodiment, described determining module 104 is using the position of described target blood rear wall as described
The reference position of ROI frame, using the length of described target blood rear wall as described ROI frame datum width, in addition, described ROI
The height of frame can be set according to the height value of the optimum pre-setting, and the parameter such that it is able to obtain described ROI frame is sat
Mark, and then determine the size and location of described ROI frame.I.e. in the present embodiment, described determining module 104 can automatically determine currently
The size and location of ROI frame in B ultrasonic image, rather than as mentioning in prior art, need user manually
Go to the position of mobile ROI frame, also zooming in or out the size of ROI frame, thus simplifying operating process, meanwhile, improve disease
Sick diagnosis efficiency.
Described interior middle film identification module 105:For to the inner membrance of target blood rear wall described in described ROI frame and middle film
Position is identified;
It is understood that in the present embodiment, described interior middle film identification module 105 is to target described in described ROI frame
The position of the inner membrance of blood vessel rear wall and middle film is identified, and is the basic application of conventional Ultrasound IMT technology of identification, belongs to conventional skill
Art, has various ways it is achieved that for example, described interior middle film identification module 105 can be in the described target blood of described ROI frame
The energy values of each pixel near described target blood rear wall in rear wall, are calculated according to pre-set energy function,
Find out the match point with extreme value, you can obtain the corresponding tunica intima of the described target blood rear wall and middle film tool on image
Body position.
In addition, it is necessary to explanation, in the present embodiment, if user is to middle film sense in other regions of B ultrasonic image
Interest it is also possible to according to the demand of checking of user, mode manually moves described ROI frame, by mobile described ROI frame Lai
Specify the image-region wanting to check.
Described measurement module 106:For measuring and showing the Internal-media thickness IMT of described target blood rear wall.
In the present embodiment, the measurement of the Internal-media thickness IMT to described target blood rear wall for the described measurement module 106 and aobvious
Show to be also existing routine techniquess, here is omitted.
Further, with reference to Fig. 2, based on Ultrasound Instrument first embodiment of the present invention, in Ultrasound Instrument second embodiment of the present invention
In, above-mentioned analysis module 102 also includes weighting coefficient table and sets up unit 1021 and vessel boundary determining unit 1022.
Wherein, described weighting coefficient table sets up unit 1021, relative one by one with vessel depth and blood vessel width for setting up
The weighting coefficient table answered, described weighting coefficient table include the depth weight coefficient corresponding with vessel depth and with blood vessel width
Corresponding width weight coefficient;
In the present embodiment, the corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb to be determined, need
Setting up unit 1021 by described weighting coefficient table sets up a weighting corresponding one by one with vessel depth and blood vessel width in advance
Coefficient table, described weighting coefficient table includes the depth weight coefficient corresponding with vessel depth and corresponding with blood vessel width
Width weight coefficient.Weight coefficient is illustrated below taking depth weight coefficient as a example:Neck as human body major arteries moves
Arteries and veins, the depth of its blood vessel has a rotine positioning, based on experience value, can arrange 2 adjustable border empirical parameter values, that is,
Little depth parameter value and depth capacity parameter value, then utilize this two border empirical parameter values, can program generation more than one
The smooth gradient ramp of Parameter adjustable, such that it is able to be mapped as different weight coefficients by different depth value.
Described vessel boundary determining unit 1022:For according to the respective weights coefficient in described weighting coefficient table and and return
Shade of gray corresponding to diverse location on swash, determines in the described vessel boundary candidate point on each described echo line respectively
The corresponding one group of blood vessel top edge of weight highest of each echo line and blood vessel lower limb, and as on corresponding echo line
Blood vessel top edge and blood vessel lower limb
The present embodiment is set up after unit 1021 sets up described weighting coefficient table in described weighting coefficient table, then described blood vessel side
Edge determining unit 1022 can be according to corresponding to diverse location on the respective weights coefficient in described weighting coefficient table and echo line
Shade of gray, the described vessel boundary candidate point on each described echo line determines each echo line corresponding power respectively
One group of blood vessel top edge of weight highest and blood vessel lower limb, and as under the blood vessel top edge and blood vessel on corresponding echo line
Edge.
This Ultrasound Instrument that the present invention provides, including acquisition module, analysis module, processing module, determining module and measurement mould
Block.Wherein, described acquisition module is used for obtaining the vessel boundary candidate point of blood vessel on each echo line on B ultrasonic image;Described
Analysis module:According to default vessel boundary recognition rule, divide in the described vessel boundary candidate point on each described echo line
Do not determine the corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb;Described processing module:Obtain described in each group
Blood vessel top edge and the position coordinateses of blood vessel lower limb, according to default depth direction to blood vessel top edge and blood vessel described in each group
The position coordinateses of lower limb are ranked up, and each described position coordinateses are clustered, and determine target blood rear wall;Described determination
Module:Length according to described target blood rear wall and default height, determine the size of ROI frame and position in current B ultrasonic image
Put;Described interior middle film identification module:For carrying out to the inner membrance of target blood rear wall described in described ROI frame and the position of middle film
Identification;Described measurement module:For measuring and showing the Internal-media thickness IMT of described target blood rear wall.Ultrasound Instrument of the present invention
Due to middle film can be automatically determined in current B ultrasonic image in the size and location of ROI frame automatic identification blood vessel in described ROI
The position of inframe, manually goes to determine the size and location of ROI frame in current B ultrasonic image without user, thus simplifying
Operating process, improves medical diagnosis on disease efficiency.
These are only the preferred embodiments of the present invention, not thereby limit the present invention the scope of the claims, every using this
Equivalent structure or equivalent flow conversion that bright description and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of blood vessel interior middle film automatic identification measuring method it is characterised in that in described Ink vessel transfusing film measurement automatic knowledge
Other method comprises the following steps:
The vessel boundary candidate point of blood vessel is obtained on each echo line on B ultrasonic image;
According to default vessel boundary recognition rule, determine respectively in the described vessel boundary candidate point on each described echo line
The corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb;
Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to described in each group
The position coordinateses of blood vessel top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered, and determine target
Blood vessel rear wall;
Length according to described target blood rear wall and default height, determine the size of ROI frame and position in current B ultrasonic image
Put;
The inner membrance of target blood rear wall described in described ROI frame and the position of middle film are identified, and measure and show described
The Internal-media thickness IMT of target blood rear wall.
2. blood vessel as claimed in claim 1 interior middle film automatic identification measuring method it is characterised in that described in B ultrasonic image
On each echo line on obtain blood vessel vessel boundary candidate point be specially:
According to the ranking results of diverse location shade of gray on echo line, blood vessel is obtained on each echo line on B ultrasonic image
Vessel boundary candidate point;Described vessel boundary candidate point includes blood vessel top edge candidate point and blood vessel lower limb candidate point.
3. blood vessel as claimed in claim 2 interior middle film automatic identification measuring method it is characterised in that described according to default
Vessel boundary recognition rule, determines each echo line pair in the described vessel boundary candidate point on each described echo line respectively
The one group of blood vessel top edge answered and blood vessel lower limb include:
Set up the weighting coefficient table corresponding one by one with vessel depth and blood vessel width, described weighting coefficient table includes deep with blood vessel
Spend corresponding depth weight coefficient and the width weight coefficient corresponding with blood vessel width;
Shade of gray according to corresponding to diverse location on the respective weights coefficient in described weighting coefficient table and echo line, each
The corresponding one group of blood of weight highest of each echo line is determined respectively in described vessel boundary candidate point on described echo line
Pipe top edge and blood vessel lower limb, and as the blood vessel top edge on corresponding echo line and blood vessel lower limb.
4. in the blood vessel as described in claim 1,2 or 3 middle film automatic identification measuring method it is characterised in that described acquisition
The position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to blood vessel top described in each group
The position coordinateses of edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered, and determine target blood rear wall
Including:
Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to described in each group
The position coordinateses of blood vessel top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered;
According to cluster result, the continuous rear wall of one section of blood vessel the longest of acquisition, using continuous for described blood vessel the longest rear wall as target
Blood vessel rear wall.
5. the interior middle film automatic identification measuring method of blood vessel as claimed in claim 1 is it is characterised in that described default depth
Direction is direction from shallow to deep.
6. a kind of Ultrasound Instrument is it is characterised in that described Ultrasound Instrument includes:
Acquisition module:For the vessel boundary candidate point of blood vessel is obtained on each echo line on B ultrasonic image;
Analysis module:According to default vessel boundary recognition rule, the described vessel boundary candidate point on each described echo line
Middle determine the corresponding one group of blood vessel top edge of each echo line and blood vessel lower limb respectively;
Processing module:Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction
The position coordinateses of blood vessel top edge and blood vessel lower limb described in each group are ranked up, and each described position coordinateses are gathered
Class, determines target blood rear wall;
Determining module:Length according to described target blood rear wall and default height, determine ROI frame in current B ultrasonic image
Size and location;
Interior middle film identification module:For knowing to the inner membrance of target blood rear wall described in described ROI frame and the position of middle film
Not;
Measurement module:For measuring and showing the Internal-media thickness IMT of described target blood rear wall.
7. Ultrasound Instrument as claimed in claim 6 it is characterised in that described acquisition module specifically for:
According to the ranking results of diverse location shade of gray on echo line, blood vessel is obtained on each echo line on B ultrasonic image
Vessel boundary candidate point;Described vessel boundary candidate point includes blood vessel top edge candidate point and blood vessel lower limb candidate point.
8. Ultrasound Instrument as claimed in claim 7 is it is characterised in that described analysis module includes:
Weighting coefficient table sets up unit:For setting up the weighting coefficient table corresponding one by one with vessel depth and blood vessel width, institute
State weighting coefficient table and include the depth weight coefficient corresponding with vessel depth and the width weight corresponding with blood vessel width
Coefficient;
Vessel boundary determining unit:For according to diverse location on the respective weights coefficient in described weighting coefficient table and echo line
Corresponding shade of gray, determines each echo line pair in the described vessel boundary candidate point on each described echo line respectively
One group of blood vessel top edge of the weight highest answered and blood vessel lower limb, and as the blood vessel top edge on corresponding echo line and
Blood vessel lower limb.
9. the Ultrasound Instrument as described in claim 6,7 or 8 it is characterised in that described determining module specifically for:
Obtain the position coordinateses of blood vessel top edge and blood vessel lower limb described in each group, according to default depth direction to described in each group
The position coordinateses of blood vessel top edge and blood vessel lower limb are ranked up, and each described position coordinateses are clustered;And according to poly-
Class result, the continuous rear wall of one section of blood vessel the longest of acquisition, using continuous for described blood vessel the longest rear wall as target blood rear wall.
10. Ultrasound Instrument as claimed in claim 6 is it is characterised in that described default depth direction is direction from shallow to deep.
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CN201610867101.8A CN106388867A (en) | 2016-09-28 | 2016-09-28 | Automatic identification measurement method for intima-media membrane in blood vessel and ultrasonic apparatus |
PCT/CN2016/101493 WO2018058697A1 (en) | 2016-09-28 | 2016-10-08 | Vascular intima-media automatic identification and measurement method and ultrasonic apparatus |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110517263A (en) * | 2019-09-02 | 2019-11-29 | 青岛海信医疗设备股份有限公司 | Determine the method, apparatus and storage medium of Internal-media thickness |
CN110678127A (en) * | 2017-05-31 | 2020-01-10 | 深圳市理邦精密仪器股份有限公司 | System and method for adaptively enhancing vascular imaging |
US11771399B2 (en) * | 2018-02-07 | 2023-10-03 | Atherosys, Inc. | Apparatus and method to guide ultrasound acquisition of the peripheral arteries in the transverse plane |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100125202A1 (en) * | 2008-11-19 | 2010-05-20 | Medison Co., Ltd. | Region setting for intima media thickness measurement in an ultrasound system |
CN103164859A (en) * | 2013-04-11 | 2013-06-19 | 上海理工大学 | Intravascular ultrasound image segmentation method |
CN103874464A (en) * | 2011-10-04 | 2014-06-18 | 柯尼卡美能达株式会社 | Ultrasound diagnostic device and ultrasound diagnostic device control method |
CN105072975A (en) * | 2013-02-27 | 2015-11-18 | 奥林巴斯株式会社 | Image processing device, image processing method and image processing program |
CN105266848A (en) * | 2015-10-16 | 2016-01-27 | 深圳市恩普电子技术有限公司 | Ultrasonic spectrum Doppler automatic optimization method |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101833757B (en) * | 2009-03-11 | 2014-10-29 | 深圳迈瑞生物医疗电子股份有限公司 | Method and system for detection edge of blood vessel graphic tissue structure and blood vessel endangium |
CN102631224B (en) * | 2012-04-24 | 2014-07-02 | 无锡祥生医学影像有限责任公司 | Doppler automatic optimization method and device for touch screen ultrasonic diagnostic apparatus |
CN103886599B (en) * | 2014-03-26 | 2017-10-13 | 北京工业大学 | A kind of blood vessel ROI dividing methods based on ivus image |
-
2016
- 2016-09-28 CN CN201610867101.8A patent/CN106388867A/en active Pending
- 2016-10-08 WO PCT/CN2016/101493 patent/WO2018058697A1/en active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100125202A1 (en) * | 2008-11-19 | 2010-05-20 | Medison Co., Ltd. | Region setting for intima media thickness measurement in an ultrasound system |
CN103874464A (en) * | 2011-10-04 | 2014-06-18 | 柯尼卡美能达株式会社 | Ultrasound diagnostic device and ultrasound diagnostic device control method |
CN105072975A (en) * | 2013-02-27 | 2015-11-18 | 奥林巴斯株式会社 | Image processing device, image processing method and image processing program |
CN103164859A (en) * | 2013-04-11 | 2013-06-19 | 上海理工大学 | Intravascular ultrasound image segmentation method |
CN105266848A (en) * | 2015-10-16 | 2016-01-27 | 深圳市恩普电子技术有限公司 | Ultrasonic spectrum Doppler automatic optimization method |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110678127A (en) * | 2017-05-31 | 2020-01-10 | 深圳市理邦精密仪器股份有限公司 | System and method for adaptively enhancing vascular imaging |
US11771399B2 (en) * | 2018-02-07 | 2023-10-03 | Atherosys, Inc. | Apparatus and method to guide ultrasound acquisition of the peripheral arteries in the transverse plane |
CN110517263A (en) * | 2019-09-02 | 2019-11-29 | 青岛海信医疗设备股份有限公司 | Determine the method, apparatus and storage medium of Internal-media thickness |
CN110517263B (en) * | 2019-09-02 | 2022-05-20 | 青岛海信医疗设备股份有限公司 | Method and device for determining inner middle film thickness and storage medium |
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