CN114881923A - Ultrasonic image elastic signal-based nodule echo analysis device - Google Patents
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Abstract
The invention relates to a nodule echo analysis device based on ultrasonic image elastic signals, which comprises: an image acquisition module: for acquiring an ultrasound image with a nodule; an elastic signal acquisition module: the ultrasonic image acquisition unit is used for acquiring an elastic signal according to the ultrasonic image to obtain an elastic ultrasonic image; a nodule region extraction module: the elastic ultrasonic image processing device is used for intercepting the nodule boundary of the elastic ultrasonic image to obtain a nodule area; a potential echo reference region acquisition module: the method comprises the steps of obtaining a potential echo reference region according to the nodule region; an echo reference region determination module: for determining an echo reference region from the latent echo reference region and the elastic signal. The method can effectively analyze the nodule echo.
Description
Technical Field
The invention relates to the technical field of medical image processing, in particular to a nodule echo analysis device based on ultrasonic image elastic signals.
Background
Nowadays, with the increasing demand for rapid and accurate diagnosis and the shortage of clinical personnel, computer analysis methods have been increasingly applied to assist routine clinical diagnosis and show good effects. Taking thyroid cancer as an example, as one of the most common cancers in women worldwide, the incidence of thyroid cancer in women is three times that in men. In 2018, thyroid cancer was one of every 20 confirmed cases of female cancer. The ultrasonic imaging is a noninvasive, non-radiative and low-cost tumor diagnosis technology, and can well assist clinicians in judging benign and malignant symptoms of cancers. However, due to the low quality of the ultrasound images, the analysis of tumor nodules in the ultrasound images is a challenging task and is highly susceptible to subjective factors of physicians, resulting in misdiagnosis. As one of potential solutions, the corresponding computer analysis method can be used for well and accurately analyzing nodules in different pathological parts so as to assist clinicians in making more accurate judgments and reduce misdiagnoses.
As an important basis for diagnosing various cancers, the analysis of texture signs in ultrasonic images plays a crucial role in clinical diagnosis. Hard nodules are more prone to damage to surrounding normal tissue and exhibit stronger malignant characteristics; in contrast, soft-textured nodules are less likely to cause damage to surrounding normal tissue, showing more benign features. Unfortunately, due to the limitation of the self-imaging principle and the influence of surrounding hyperplastic tissues and various noises, the conventional ultrasonic means is difficult to analyze the texture of thyroid nodules, and is very easy to cause misdiagnosis. Elastic ultrasound is used as a novel ultrasonic imaging technology, and the acquired original ultrasonic signals are processed, so that the hardness degree of a scanned part can be represented on an ultrasonic image in a color mode, and the defect that the display effect of the traditional conventional ultrasound on tissue texture is poor is overcome. However, limited by the current technology, the conventional examination method can only perform subjective or semi-subjective analysis on the texture information in the elastic ultrasound image, which limits the wider application of the elastic ultrasound technology.
Disclosure of Invention
The invention aims to provide a nodule echo analysis device based on ultrasonic image elastic signals, which can effectively analyze nodule echoes.
The technical scheme adopted by the invention for solving the technical problems is as follows: provided is a nodule echo analysis device based on an ultrasonic image elastic signal, comprising:
an image acquisition module: for acquiring an ultrasound image with a nodule;
an elastic signal acquisition module: the ultrasonic image acquisition unit is used for acquiring an elastic signal according to the ultrasonic image to obtain an elastic ultrasonic image;
a nodule region extraction module: the elastic ultrasonic image processing device is used for intercepting the nodule boundary of the elastic ultrasonic image to obtain a nodule area;
a potential echo reference region acquisition module: the potential echo reference region is obtained according to the nodule region;
an echo reference region determination module: for determining an echo reference region from the latent echo reference region and the elastic signal.
The potential echo reference region acquisition module is used for acquiring the potential echo reference region
Obtaining a potential echo reference region, wherein I ref In order to be a potential echo reference region,
for the dilation operator, S is a 25-pixel wide disk-shaped structuring element, I ROI Is a binary image of the nodule region
X ROI Is the set of all the pixel points in the nodule region,
1 in (1) * For indicating the function, when the pixel I in the elastic ultrasonic image (x,y) Belong to X ROI And returning to 1 when the marked area is in the area, and otherwise, returning to 0.
The echo reference region determining module is used for determining the echo reference region
Determining an echo reference region, wherein I ref' (x, y) is an echo reference region,
is I ref The value at pixel (x, y), Λ is the logical and operation, CheckInfo (x, y) is the elastic signal extraction equation and the elastic signal extraction result includes soft, hard or moderate, t medium It means that the texture is moderate,
1 in (1) * To indicate the function, the tag returned when the elastic signal extraction equation CheckInfo (x, y) belongs to t medium If so, 1 is returned, otherwise, 0 is returned.
The device also comprises an echo type judging module: for referencing a region I based on the echo ref' (x, y) to determine anechoic, hypoechoic, iso-echoic and hyperechoic.
The echo kind judging module passes
To determine anechoic, hypoechoic, iso-echo and hyperecho, where no is anechoic, low is hypoechoic, medhigh is iso-echo, strong is strong, t is hyperecho n Determining a threshold value, t, for a first echo l Determining a threshold value, t, for the second echo mh Determining a threshold for the third echo, M mef For echo reference region I ref' The pixel brightness of (x, y) represents a reference value and
and referencing the echo to region I ref' (X, y) pixel luminance expression reference value X ref As a reference value for iso-echo, X ref For echo reference region I ref' Set of all pixel points shown by internal standards, I x,y Is the gray scale brightness value of the ultrasound image at pixel (x, y).
The device also comprises an echo type proportion module: the method is used for calculating the occupation ratio of various echoes in the nodule area and has the formula as follows:
wherein X is the set of all pixel points in the nodule region, no is anechoic, low is low echo, medhigh is equal echo, strong echo, CheckEcho (x, y) is echo label returned by the echo judgment equation at pixel (x, y),
1 in (1) * To indicate the function, when CheckEcho (x, y) belongs to ω E If so, 1 is returned, otherwise, 0 is returned.
Advantageous effects
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects: the invention can effectively and accurately interpret and analyze various echoes in the nodule, greatly improves the film reading efficiency of the sonographer, increases the diagnosis accuracy and greatly assists the daily work of the sonographer.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a potential echo reference region of an embodiment of the present invention;
FIG. 3 is a schematic diagram of an echo reference region in accordance with an embodiment of the present invention;
fig. 4 is a diagram illustrating a nodule echo classification result according to an embodiment of the present invention.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
The embodiment of the present invention relates to a nodule echo analysis device based on ultrasound image elastic signal, please refer to fig. 1, which includes:
an image acquisition module: for acquiring an ultrasound image with a nodule;
an elastic signal acquisition module: the ultrasonic image acquisition unit is used for acquiring an elastic signal according to the ultrasonic image to obtain an elastic ultrasonic image;
a nodule region extraction module: the elastic ultrasonic image processing device is used for intercepting the nodule boundary of the elastic ultrasonic image to obtain a nodule area;
a potential echo reference region acquisition module: the method comprises the steps of obtaining a potential echo reference region according to the nodule region;
an echo reference region determination module: for determining an echo reference region from the latent echo reference region and the elastic signal.
The present embodiment will be described in detail below:
the echo plays an important role in judging the malignancy and benign of the tumor as an essential loop in ultrasonic image analysis. However, due to the deviation of the specifications of various instruments and the influence of the nature of the scanned part and the manipulation of the physician, the echo expression will have significant differences under different conditions, and it is difficult to make a consistent interpretation. In the conventional echo determination method, normal tissue (such as thyroid gland) expression in a nodule peripheral region is usually used as a reference of iso-echoes, and then other types of echoes are determined. It is noted that the area surrounding the nodule often includes different tissues such as blood vessels, envelopes, muscles, etc. in addition to normal tissue, subject to the location of the scanned site. The echo performance of these tissues is often significantly different from that of normal tissues, which may further affect the judgment of echo reference, so that it needs to be removed in the consideration process. However, these tissues are often mixed with normal tissues, and it is difficult to completely eliminate their interferences during analysis, and finally they are potentially ambiguous and cause errors in echo interpretation by physicians.
As a potential solution, the texture of the tissue surrounding the nodule may serve as an important cue for selecting a reference. Based on the influence of the self-properties, most of the reference objects of the equal echo are tissues with moderate texture, and other tissues mostly present softer or harder texture. Therefore, the present embodiment effectively utilizes information extracted from the elastic ultrasound image to classify ω by elasticity e And e.g. { soft, medium, hard } is taken as a basis, the extraction of the echo reference object is realized, and the accurate analysis of the echo performance in the nodal region is realized.
Further, the elastic signal acquisition module includes:
a detection unit: for extracting a color region I in the ultrasound image by a threshold determination method based on RGB channels c And using eight neighborhoods as radii to the color area I c Searching the color pixels to obtain a plurality of independent connected domains, selecting the connected domain with the largest area in all the connected domains, and fitting the minimum boundary frame of the connected domain with the largest area to obtain an elastic signal region I e ；
An extraction unit: for extracting the elastic signal region I by RGB color channel brightness comparison e The elasticity signal in (1).
Further, the formula of the threshold judgment method in the detection unit is as follows:
wherein, color (x, y) is the recognition result of the ultrasound at the pixel (x, y), true indicates that the recognition result is color, false indicates that the recognition result is black and white, and G (x,y) Is the brightness value, R, of the pixel (x, y) on the green channel of the ultrasound image (x,y) Is the brightness value of pixel (x, y) on the red channel of the ultrasound image, B (x,y) The brightness value of the pixel (x, y) on the blue channel of the ultrasound image is thr, which is a preset threshold value.
Further, the extraction unit is provided with
To extract the elastic signal region I e Wherein, the CheckInfo (x, y) is the elastic signal extraction result of the elastic ultrasound image at the pixel (x, y), and the pixel (x, y) is located in the elastic signal area I e Inner, D e Representing a channel decision equation, c (x,y) Representing an elastic signal region I e Luminance value at (x, y) pixel in channel C, (C \ C) (x,y) Representing an elastic signal region I e Set of luminance values at (x, y) pixels in two other channels than channel c, L c Is the elastic conversion coefficient; when in useBlue for soft texture and red for hard texture, { L R ＝250,L G ＝150,L B 50 }; when red is used to indicate soft texture and blue is used to indicate hard texture, { L R ＝50,L G ＝150,L B ＝250}。
Furthermore, after the nodule region is extracted by the nodule region extraction module, the ratio of each type of elastic signal in the nodule region is further measured, and the elastic signals are divided into three types, namely hard, soft and medium. If by ω e E { soft, medium, hard } represents the category to be solved, the calculation formula can be specifically expressed as:
wherein, X e Representing an elastic signal region I e Set of all pixel points, X, shown internally ROI Representing the set of all pixel points within the nodule region,
1 in (1) * To indicate the function, when the elastic signal extracts the return value of the equation CheckInfo (x, y) belongs to
If yes, returning to 1, otherwise, returning to 0;
1 in (1) * To indicate the function, when the pixel (X, y) is at X ROI When in the marked area, 1 is returned, otherwise 0 is returned,
is a lookup value for the elasticity class sought and is based on the elastic transformation coefficient L c Is defined as t soft ＝50,t medium ＝150,t hard 250 }. A higher hard texture ratio as measured using this method of measurement suggests more hard constituents in the nodule area, whereas a soft texture ratio as measuredHigher qualitative ratios suggest more soft components within the nodule region.
Further, if X is used ROI Representing the set of all pixel points in the nodule region, the binary image I about the nodule region can be extracted ROI So that it satisfies that the region inside all nodules is 1 (true), and the region outside all nodules is 0 (false), which can be expressed by the following formula:
wherein the content of the first and second substances,
1 in (1) * For indicating the function, when the pixel I in the elastic ultrasonic image (x,y) At X ROI And returning to 1 when the marked area is in the area, and otherwise, returning to 0.
Further, in the potential echo reference region acquisition module, after a binary image about a nodule region is extracted, morphological dilation operation is performed on the binary image, and the dilated image is subtracted from the image before dilation to obtain a potential echo reference extraction region, wherein a specific formula is as follows:
wherein, I ref In order to be a potential echo reference region,
for the dilation operator, S is a 25-pixel wide disk-shaped structuring element.
Referring to fig. 2, the area marked by the small irregular white circles is a nodule, and the area between the small irregular white circles and the large irregular white circles is a potential echo reference area.
In the echo reference region determination module, the potential echo reference extraction region I is determined ref Then, this embodiment will doClassifying omega with extracted elasticity information e (soft, hard and moderate) combination, wherein the area judged to be soft or hard texture is regarded as non-reference tissue elimination, only the area judged to be soft or hard texture is reserved, and finally the echo reference area I is determined ref' The specific formula can be expressed as:
wherein, I ref' (x, y) is an echo reference region,
is I ref The value at the pixel (x, y), Λ is the logical AND operation, CheckInfo (x, y) is the elastic signal extraction equation, the output result is soft, hard or moderate, t medium It means that the texture is moderate,
1 in (1) * To indicate the function, the tag returned when the elastic signal extraction equation CheckInfo (x, y) belongs to t medium If so, 1 is returned (true), otherwise, 0 is returned (false).
Referring to fig. 3, the region identified by numeral 1 is a nodule, and the region identified by numeral 2 is a reference region of the nodule echo after final optimization.
Furthermore, the embodiment further comprises an echo type judgment module, which judges the type of the echo by comparing I ref' Averaging the pixels shown by the internal standard to obtain the pixel brightness expression reference value M of the equal echo ref The specific calculation formula is as follows:
wherein, X ref Is I ref' Set of all pixel points shown by internal standards, I x,y Is the gray scale brightness value of the ultrasound image at pixel (x, y).
When iso-echo is determinedAfter the brightness value of (2), M is used in the present embodiment ref Reference values of other echo types are further determined for the reference, and are divided into four types including strong, equal/high, low and no echo, and the judgment process of each type of echo can be expressed by the following formula:
where no represents anechoic, low represents hypoechoic, medhigh represents iso/hyperechoic, strong represents hyperechoic, t n Threshold value, t, is determined for the first echo l Determining a threshold value for the second echo, t mh The threshold is determined for the third echo, defined experimentally as { t } n ＝0.2,t l ＝1,t mh ＝1.75}。
The embodiment further comprises an echo type ratio module, wherein the ratio is represented by omega E E { no, low, medhiigh, strong } represents the echo category, the proportion of each echo can be calculated by the following formula:
wherein, X ROI The method is a set of all pixel points in a nodule region, no is no echo, low is low echo, medhigh is equal echo, strong echo is strong echo, CheckEcho (x, y) is an echo label returned by an echo judgment equation at a pixel (x, y),
1 in (1) * To indicate the function, when CheckEcho (x, y) belongs to ω E If so, 1 is returned, otherwise, 0 is returned.
Referring to fig. 4, the echo classification of nodules is shown, wherein the number 1 represents the strong echo, accounting for 7.8%; number 2 represents high/equal echo, accounting for 36.4%; the number 3 represents hypoechoic, accounting for 55.8%.
Therefore, the method successfully carries out accurate interpretation and analysis on various echoes in the nodule, greatly improves the film reading efficiency of an ultrasonic doctor, increases the diagnosis accuracy, and greatly assists the daily work of the ultrasonic doctor.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (6)
1. A nodule echo analysis device based on ultrasound image elastic signals, comprising:
an image acquisition module: for acquiring an ultrasound image with a nodule;
an elastic signal acquisition module: the ultrasonic image acquisition unit is used for acquiring an elastic signal according to the ultrasonic image to obtain an elastic ultrasonic image;
a nodule region extraction module: the elastic ultrasonic image processing device is used for intercepting the nodule boundary of the elastic ultrasonic image to obtain a nodule area;
a potential echo reference region acquisition module: the method comprises the steps of obtaining a potential echo reference region according to the nodule region;
an echo reference region determination module: for determining an echo reference region from the latent echo reference region and the elastic signal.
2. The apparatus of claim 1, wherein the module for acquiring the echo reference region of the potential echo is a module for analyzing the echo of the nodule based on the elastic signal of the ultrasound image
Obtaining a potential echo reference region, wherein I ref In order to be a potential echo reference region,
for the dilation operator, S is a 25-pixel wide disk-shaped structuring element, I ROI Is a binary image of the nodule region
X ROI Is the set of all the pixel points in the nodule region,
1 in (1) * For indicating the function, when the pixel I in the elastic ultrasonic image (x,y) Belong to X ROI And returning to 1 when the marked area is in the area, and otherwise, returning to 0.
3. The apparatus of claim 1, wherein the echo reference region determining module determines the nodule echo by using a model of the ultrasound image elastic signal
Determining an echo reference region, wherein I ref' (x, y) is the echo reference region, I refx,y Is I ref The value at pixel (x, y), Λ is the logical and operation, CheckInfo (x, y) is the elastic signal extraction equation and the elastic signal extraction result includes soft, hard or moderate, t medium It means that the texture is moderate,
1 in (1) * To indicate the function, the tag returned when the elastic signal extraction equation CheckInfo (x, y) belongs to t medium If so, 1 is returned, otherwise, 0 is returned.
4. The apparatus for nodule echo analysis based on ultrasound image elastic signal according to claim 1, further comprising an echo type determination module: for referencing a region I based on the echo ref' (x, y) to determine anechoic, hypoechoic, iso-echoic and hyperechoic.
5. The apparatus as claimed in claim 4, wherein the echo type determination module determines the type of the echo by using a comparison between the type of the echo and the type of the nodule
To determine anechoic, hypoechoic, iso-echo and hyperecho, where no is anechoic, low is hypoechoic, medhigh is iso-echo, strong is strong, t is hyperecho n Determining a threshold value, t, for a first echo l Determining a threshold value, t, for the second echo mh Determining a threshold for the third echo, M mef For echo reference region I ref' The pixel brightness of (x, y) represents a reference value and
and referencing the echo to region I ref' Reference value M for expressing pixel brightness of (x, y) ref As a reference value for iso-echo, X ref For echo reference region I ref' Set of all pixel points shown by internal standards, I x,y Is the gray scale brightness value of the ultrasound image at pixel (x, y).
6. The apparatus for nodule echo analysis based on ultrasound image elastic signal according to claim 1, further comprising an echo type ratio module: the method is used for calculating the occupation ratio of various echoes in the nodule area and has the formula as follows:
wherein, X is the set of all pixel points in the nodule area, no is no echo, low is low echo, medhigh is equal echo, strong is strong echo, CheckEcho (X, y) is the echo label returned by the echo judgment equation at the pixel (X, y),
1 in (1) * To indicate the function, when CheckEcho (x, y) belongs to ω E If so, 1 is returned, otherwise, 0 is returned.
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| CN113657553A (en) * | 2021-09-01 | 2021-11-16 | 什维新智医疗科技(上海)有限公司 | Nodular echo type judgment device |
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