Scanning interval calculation method for ultrasonic imaging data acquisition and its equipment and device

Abstract

The present invention provides a scanning interval calculation method for ultrasonic imaging data acquisition and its equipment and device, which belongs to the field of ultrasonic detection technology, and can at least partially solve the problem that the existing ultrasonic detection device cannot adjust the distance between ultrasonic beams according to the structure of human tissue. A scanning interval calculation method for ultrasonic imaging data acquisition of the present invention includes: emitting the i-th ultrasonic beam to the i-th position of the tissue to be detected to obtain the i-th detection line data; segmenting the i-th detection line data to obtain the i-th segmentation data; emitting the i+1-th ultrasonic beam to the i+1-th position of the tissue to be detected to obtain the i+1-th detection line data; segmenting the i+1-th detection line data to obtain the i+1-th segmentation data; obtaining the i+1-th distance according to the i-th segmentation data and the i+1-th segmentation data to determine the i+2-th position where the i+2-th ultrasonic beam is emitted, and the i+1-th distance is the distance between the i+1-th position and the i+2-th position.

Description

Technical Field

[0001] The present invention belongs to the technical field of ultrasonic detection, and in particular relates to a scanning interval calculation method for ultrasonic imaging data acquisition and equipment and a device thereof. Background Art

[0002] With the continuous development of science and technology, the role of ultrasonic detection devices in medical diagnosis is becoming more and more important. Among them, the working principle of medical ultrasonic examination using ultrasonic detection devices is: the ultrasonic wave is emitted into the human body, and when the ultrasonic wave encounters an interface in the body, it will be reflected and refracted, and it may be absorbed and attenuated in the human tissue. Because the morphology and structure of various tissues in the human body are different, the degree of reflection, refraction and absorption of ultrasonic waves is also different. Doctors use the data reflected by the instrument (such as wave type, curve, or image characteristics) to identify the structure of human tissues. In addition, combined with anatomical knowledge, normal and pathological changes, it can be diagnosed whether the examined organ is diseased.

[0003] An ultrasonic detection device in the prior art emits a certain number of ultrasonic beams to the human body, which is usually 40, 80, 120, etc., and the distances between adjacent ultrasonic beams are equal. These ultrasonic beams are emitted in sequence. The ultrasonic detection device cannot adjust the distance between ultrasonic beams according to the specific structure of human tissue, that is, adjust the number of ultrasonic beams, which will cause problems such as increased redundant data and increased difficulty in data processing. Summary of the invention

[0004] The present invention at least partially solves the problem that the existing ultrasonic detection device cannot adjust the distance between ultrasonic beams according to the structure of human tissue, and provides a scanning interval calculation method for ultrasonic imaging data acquisition that can adjust the distance between ultrasonic beams according to the structure of human tissue.

[0005] The technical solution adopted to solve the technical problem of the present invention is a scanning interval calculation method for ultrasonic imaging data acquisition, comprising:

[0006] Transmitting the i-th ultrasonic beam to the i-th position of the tissue to be detected to obtain the i-th detection line data;

[0007] Performing segmentation processing on the i-th detection line data to obtain i-th segmentation data;

[0008] Transmitting the i+1th ultrasonic beam to the i+1th position of the tissue to be detected to obtain the i+1th detection line data;

[0009] Performing segmentation processing on the i+1th detection line data to obtain i+1th segmentation data;

[0010] The i+1th distance is obtained according to the i+1th segmentation data and the i+1th segmentation data to determine the i+2th position at which the i+2th ultrasonic beam is emitted, and the i+1th distance is the distance between the i+1th position and the i+2th position.

[0011] It is further preferred that obtaining the i+1th distance based on the i-th segmentation data and the i+1th segmentation data includes: obtaining difference data based on the i-th segmentation data and the i+1th segmentation data; comparing the difference data with a difference threshold to obtain an effective difference between the i-th detection line data and the i+1-th detection line data; and obtaining the i+1th distance based on the effective difference to determine the i+2th position where the i+2th ultrasonic beam is emitted.

[0012] Further preferably, the emitting the i-th ultrasonic beam to the i-th position of the tissue to be detected to obtain the i-th detection line data comprises: the i-th detection line data comprises grayscale data d of n positions uniformly distributed on the i-th detection line 11 d 12 ,……,d 1n ; The i+1th ultrasonic beam is emitted to the i+1th position of the tissue to be detected, and the i+1th detection line data is obtained, including: the i+1th detection line data includes grayscale data d of n positions uniformly distributed on the i+1th detection line 21 d 22 ,……,d 2n .

[0013] Further preferably, the segmenting process of the i-th detection line data to obtain the i-th segmented data includes: dividing the i-th detection line into h equal parts, the number of grayscale data in each part is r, and the calculation formula of the i-th segmented data is: q 1h =(d' h1 +……+d' hr ) / r, where q 1h represents the h-th segmentation data of the i-th detection line, d' hr represents the rth grayscale data in the hth part of the i-th detection line; the segmentation processing of the i+1th detection line data to obtain the i+1th segmentation data includes: dividing the i+1th detection line into h equal parts, the number of grayscale data in each part is r, and the calculation formula of the i-th segmentation data is: q 2h =(d" h1 +……+d” hr ) / r, where q 2h Indicates the h-th segmentation data of the i+1-th detection line, d" hr Represents the rth grayscale data in the hth part of the i+1th detection line.

[0014] Further preferably, the obtaining of difference data according to the i-th segmentation data and the i+1-th segmentation data comprises: the calculation formula of the difference data is: △p h =q 2h -q 1h , where △p h Represents the h-th difference data.

[0015] Further preferably, the comparing the difference data with the difference threshold to obtain the effective difference between the i-th detection line data and the i+1-th detection line data comprises: the calculation formula of the effective difference is: Among them, c i represents the effective difference between the i+1th detection line and the ith detection line, c h It represents the difference amount corresponding to the hth difference data, td represents the difference threshold, 1 represents valid, and 0 represents invalid.

[0016] Further preferably, obtaining the i+1th distance according to the effective difference to determine the i+2th position where the i+2th ultrasonic beam is emitted comprises:

[0017] The calculation formula of the i+1th distance is: Where S i+1 represents the i+1th distance, Indicates that the independent variable is c i function, and as c i The increase of becomes smaller; as c i The decrease of Get bigger.

[0018] The technical solution adopted to solve the technical problem of the present invention is a scanning interval calculation device for ultrasonic imaging data acquisition, comprising:

[0019] A first acquisition unit is used to transmit an i-th ultrasonic beam to an i-th position of a tissue to be detected to obtain i-th detection line data;

[0020] A first calculation unit, configured to perform segmentation processing on the i-th detection line data to obtain i-th segmentation data;

[0021] A second acquisition unit is used to transmit the i+1th ultrasonic beam to the i+1th position of the tissue to be detected to obtain the i+1th detection line data;

[0022] A second calculation unit is used to perform segmentation processing on the i+1th detection line data to obtain i+1th segmentation data;

[0023] The third calculation unit is used to obtain the i+1th distance according to the i+1th segmentation data and the i+1th segmentation data to determine the i+2th position where the i+2th ultrasonic beam is emitted, and the i+1th distance is the distance between the i+1th position and the i+2th position.

[0024] It is further preferred that the third calculation unit includes: a first calculation subunit, used to obtain difference data based on the i-th segmentation data and the i+1-th segmentation data; a second calculation subunit, used to compare the difference data with a difference threshold to obtain an effective difference between the i-th detection line data and the i+1-th detection line data; and a third calculation subunit, used to obtain the i+1-th distance based on the effective difference to determine the i+2-th position where the i+2-th ultrasonic beam is emitted.

[0025] The technical solution adopted to solve the technical problem of the present invention is an ultrasonic detection device for detecting human tissue, and the ultrasonic detection device includes the above-mentioned scanning interval calculation device for ultrasonic imaging data acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present invention but do not constitute a limitation of the present invention. In the accompanying drawings:

[0027] Figure 1 A schematic flow chart of a scanning interval calculation method for ultrasonic imaging data acquisition according to an embodiment of the present invention;

[0028] Figure 2 A schematic flow chart of a scanning interval calculation method for ultrasonic imaging data acquisition according to an embodiment of the present invention;

[0029] Figure 3 A schematic diagram of the distribution of an ultrasonic beam in human tissue according to a scanning interval calculation method for ultrasonic imaging data acquisition according to an embodiment of the present invention;

[0030] Figure 4 The present invention is a schematic block diagram of a scanning interval calculation device for ultrasonic imaging data acquisition according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] The present invention will be described in more detail below with reference to the accompanying drawings. In each of the accompanying drawings, the same elements are represented by similar reference numerals. For the sake of clarity, the various parts in the accompanying drawings are not drawn to scale. In addition, some well-known parts may not be shown in the drawings.

[0033] Many specific details of the present invention are described below, such as component structures, materials, dimensions, processing techniques and technologies, in order to more clearly understand the present invention. However, as those skilled in the art will appreciate, the present invention may be implemented without following these specific details.

[0034] Embodiment 1:

[0035] like Figures 1 to 4 As shown, this embodiment provides a scanning interval calculation method for ultrasonic imaging data acquisition, including:

[0036] S11, transmitting the i-th ultrasonic beam to the i-th position of the tissue to be detected to obtain the i-th detection line data.

[0037] S12, performing segmentation processing on the i-th detection line data to obtain i-th segmented data.

[0038] S13, transmitting the i+1th ultrasonic beam to the i+1th position of the tissue to be detected to obtain the i+1th detection line data.

[0039] S14, performing segmentation processing on the i+1th detection line data to obtain the i+1th segmentation data.

[0040] S15. Obtain the i+1th distance according to the i-th segmentation data and the i+1th segmentation data to determine the i+2th position where the i+2th ultrasonic beam is emitted. The i+1th distance is the distance between the i+1th position and the i+2th position.

[0041] That is to say, the i+1th distance between the i+1th ultrasonic beam and the i+2th ultrasonic beam can be obtained according to the i-th segmentation data and the i+1th segmentation data of the i-th ultrasonic beam and the i+1th ultrasonic beam. For example, the second distance between the second ultrasonic beam and the third ultrasonic beam can be obtained according to the first segmentation data and the second segmentation data between the first ultrasonic beam and the second ultrasonic beam, and the third distance between the third ultrasonic beam and the fourth ultrasonic beam can be obtained according to the second segmentation data and the third segmentation data between the second ultrasonic beam and the third ultrasonic beam, and so on, until all ultrasonic beams are transmitted.

[0042] In the scanning interval calculation method for ultrasonic imaging data acquisition in the present embodiment, the calculated distance between each ultrasonic beam is related to the tissue structure of the human body. In this way, when in an area with a complex and changeable tissue structure, the distance between adjacent ultrasonic beams is relatively close, thereby accurately detecting the tissue structure of the area. When in an area with a simple and less changeable tissue structure, the distance between adjacent ultrasonic beams is relatively far, thereby reducing redundant data obtained by detection.

[0043] Embodiment 2:

[0044] like Figures 1 to 4 As shown, this embodiment provides a scanning interval calculation method for ultrasonic imaging data acquisition, including:

[0045] S21. Transmit the i-th ultrasonic beam to the i-th position of the tissue to be detected to obtain the i-th detection line data.

[0046] Specifically, the i-th detection line data includes grayscale data d at n positions evenly distributed on the i-th detection line. 11 d 12 ,……,d 1n .

[0047] S22, performing segmentation processing on the i-th detection line data to obtain i-th segmentation data.

[0048] Specifically, the i-th detection line is divided into h equal parts, the number of grayscale data in each part is r, and the calculation formula for the i-th segmented data is q 1h =(d' h1 +……+d' hr ) / r, where q 1h represents the h-th segmentation data of the i-th detection line, d' hr Represents the rth grayscale data in the hth part of the i-th detection line.

[0049] S23, transmitting the i+1th ultrasonic beam to the i+1th position of the tissue to be detected to obtain the i+1th detection line data.

[0050] Specifically, the i+1th detection line data includes the grayscale data d at n positions evenly distributed on the i+1th detection line. 21 d 22 ,……,d 2n .

[0051] The grayscale data of the i-th detection line and the grayscale data of the i+1-th detection line are in one-to-one correspondence, that is, d 11 With d 21 Corresponding, d 12 With d 22 Corresponding, etc.

[0052] S24, performing segmentation processing on the (i+1)th detection line data to obtain (i+1)th segmented data.

[0053] Specifically, the i+1th detection line is divided into h equal parts, the number of grayscale data in each part is r, and the calculation formula for the i+1th segmented data is: 2h =(d" h1 +……+d” hr) / r, where q 2h Indicates the h-th segmentation data of the i+1-th detection line, d" hr Represents the rth grayscale data in the hth part of the i+1th detection line.

[0054] Among them, the h parts of the i-th detection line and the h parts of the i+1-th detection line are one-to-one corresponding, that is, q 11 Corresponding to q 21 ,q 12 Corresponding to q 22 wait.

[0055] S25. Obtain the i+1th distance according to the i-th segmentation data and the i+1th segmentation data to determine the i+2th position where the i+2th ultrasonic beam is emitted, the i+1th distance being the distance between the i+1th position and the i+2th position.

[0056] Preferably, obtaining the i+1th distance according to the i-th segmentation data and the i+1th segmentation data comprises:

[0057] S251, obtaining difference data according to the i-th segmentation data and the (i+1)-th segmentation data.

[0058] Specifically, the calculation formula for the difference data is: △p h =q 2h -q 1h , where △p h Represents the h-th difference data.

[0059] S252 : Compare the difference data with the difference threshold to obtain the effective difference between the i-th detection line data and the (i+1)-th detection line data.

[0060] Specifically, the calculation formula for the effective difference is: Among them, c i represents the effective difference between the i+1th detection line and the ith detection line, c h It represents the difference amount corresponding to the hth difference data, td represents the difference threshold, 1 represents valid, and 0 represents invalid.

[0061] That is to say, the effective difference between the i+1th detection line and the ith detection line is finally obtained according to the difference corresponding to the h pieces of difference data.

[0062] S253. Obtain the i+1th distance according to the effective difference value to determine the i+2th position where the i+2th ultrasonic beam is emitted.

[0063] Specifically, the calculation formula for the i+1th distance is: Among them, S i+1 represents the i+1th distance, Indicates that the independent variable is c i function, and as c i The increase of becomes smaller; as c i The decrease of Get bigger.

[0064] It can be seen from the above formula that the overall trend of the distance between ultrasonic beams is that it decreases with the increase in the number of effective differences, and the distance between ultrasonic beams and the number of effective differences can be associated with the above function. That is to say, the i+1th distance between the i+1th ultrasonic beam and the i+2th ultrasonic beam can be obtained from the i-th segmentation data and the i+1th segmentation data between the i-th ultrasonic beam and the i+1th ultrasonic beam. For example, the second distance between the second ultrasonic beam and the third ultrasonic beam can be obtained based on the first segmentation data and the second segmentation data between the first ultrasonic beam and the second ultrasonic beam, and the third distance between the third ultrasonic beam and the fourth ultrasonic beam can be obtained based on the second segmentation data and the third segmentation data between the second ultrasonic beam and the third ultrasonic beam, and so on, until all ultrasonic beams are transmitted.

[0065] It should be noted that the calculation formula for the (i+1)th distance is not limited to the above formula, but may also be other suitable formulas obtained from experiments.

[0066] In the scanning interval calculation method for ultrasonic imaging data acquisition in the present embodiment, the calculated distance between each ultrasonic beam is related to the tissue structure of the human body. In this way, when in an area with a complex and changeable tissue structure, the distance between adjacent ultrasonic beams is relatively close, thereby accurately detecting the tissue structure of the area. When in an area with a simple and less changeable tissue structure, the distance between adjacent ultrasonic beams is relatively far, thereby reducing redundant data obtained by detection.

[0067] Embodiment 3:

[0068] like Figures 1 to 4 As shown, this embodiment provides a scanning interval calculation device for ultrasonic imaging data acquisition, including:

[0069] A first acquisition unit is used to transmit an i-th ultrasonic beam to an i-th position of a tissue to be detected to obtain i-th detection line data;

[0070] A first calculation unit is used to perform segmentation processing on the i-th detection line data to obtain i-th segmentation data;

[0071] A second acquisition unit is used to transmit the i+1th ultrasonic beam to the i+1th position of the tissue to be detected to obtain the i+1th detection line data;

[0072] The second calculation unit is used to perform segmentation processing on the i+1th detection line data to obtain the i+1th segmentation data;

[0073] The third calculation unit is used to obtain the i+1th distance according to the i+1th segmentation data and the i+1th segmentation data to determine the i+2th position where the i+2th ultrasonic beam is emitted, and the i+1th distance is the distance between the i+1th position and the i+2th position.

[0074] Preferably, the third computing unit includes:

[0075] A first calculation subunit, used for obtaining difference data according to the i-th segmentation data and the (i+1)-th segmentation data;

[0076] A second calculation subunit is used to compare the difference data with a difference threshold value to obtain a valid difference between the i-th detection line data and the i+1-th detection line data;

[0077] The third calculation subunit is used to obtain the i+1th distance according to the effective difference value to determine the i+2th position where the i+2th ultrasonic beam is emitted.

[0078] This embodiment also discloses an ultrasonic detection device for detecting human tissues. The ultrasonic detection device includes the above-mentioned scanning interval calculation device for ultrasonic imaging data acquisition.

[0079] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0080] According to the embodiments of the present invention as described above, these embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and changes can be made based on the above description. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can make good use of the present invention and the modified use based on the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A scanning interval calculation method for ultrasonic imaging data acquisition, characterized in that: include: Transmitting the i-th ultrasonic beam to the i-th position of the tissue to be detected to obtain the i-th detection line data; The i-th detection line data includes grayscale data d at n positions evenly distributed on the i-th detection line. 11 d 12 ,……,d 1n ; The i-th detection line data is segmented to obtain the i-th segmented data; the i-th detection line data is segmented to obtain the i-th segmented data including: dividing the i-th detection line into h equal parts, the number of grayscale data in each part is r, and the calculation formula of the i-th segmented data is: q 1h =(d' h1 +……+d' hr ) / r, where q 1h represents the h-th segmentation data of the i-th detection line, d' hr represents the rth grayscale data in the hth part of the i-th detection line; The i+1th ultrasonic beam is emitted to the i+1th position of the tissue to be detected to obtain the i+1th detection line data; the i+1th detection line data includes the grayscale data d of n positions evenly distributed on the i+1th detection line 21 d 22 ,……,d 2n ; The i+1th detection line data is segmented to obtain the i+1th segmented data; the i+1th detection line data is segmented to obtain the i+1th segmented data including: dividing the i+1th detection line into h equal parts, the number of grayscale data in each part is r, and the calculation formula of the i+1th segmented data is: q 2h =(d" h1 +……+d” hr ) / r, where q 2h Indicates the h-th segmentation data of the i+1-th detection line, d" hr represents the rth grayscale data in the hth part of the i+1th detection line; Obtaining an i+1th distance according to the i-th segmentation data and the i+1th segmentation data to determine an i+2th position at which the i+2th ultrasonic beam is emitted, wherein the i+1th distance is the distance between the i+1th position and the i+2th position; The obtaining the i+1th distance according to the i-th segmentation data and the i+1th segmentation data comprises: Obtain difference data of each piece of segmented data according to the i-th segmented data and the i+1-th segmented data; Compare the difference data of each piece of segmented data with the difference threshold value to obtain the difference amount corresponding to each piece of difference data; Sum the difference values ​​corresponding to each set of difference data to obtain the effective difference value between the i-th detection line data and the i+1-th detection line data; Obtaining the i+1th distance according to the effective difference value to determine the i+2th position where the i+2th ultrasonic beam is emitted; The step of obtaining the i+1th distance according to the effective difference to determine the i+2th position where the i+2th ultrasonic beam is emitted includes: the calculation formula of the i+1th distance is: Where S i+1 represents the i+1th distance, Indicates that the independent variable is c i function, and as c i The increase of becomes smaller; as c i The decrease of Get bigger.

2. The method according to claim 1, characterized in that The obtaining of difference data according to the i-th segmentation data and the i+1-th segmentation data comprises: The calculation formula of the difference data is: △p h =q 2h -q 1h , where △p h Represents the h-th difference data.

3. The method according to claim 2, characterized in that The comparing the difference data with the difference threshold to obtain the effective difference between the i-th detection line data and the i+1-th detection line data includes: The calculation formula of the effective difference is: Among them, c i represents the effective difference between the i+1th detection line and the ith detection line, c h It represents the difference amount corresponding to the hth difference data, td represents the difference threshold, 1 represents valid, and 0 represents invalid.

4. A scanning interval calculation device for ultrasonic imaging data acquisition, characterized in that: include: A first acquisition unit is used to transmit an i-th ultrasonic beam to an i-th position of a tissue to be detected to obtain i-th detection line data; The i-th detection line data includes grayscale data d at n positions evenly distributed on the i-th detection line. 11 d 12 ,……,d 1n ; The first calculation unit is used to divide the i-th detection line data to obtain the i-th divided data; wherein the i-th detection line data is divided into h equal parts, the number of grayscale data in each part is r, and the calculation formula of the i-th divided data is: q 1h =(d' h1 +……+d' hr ) / r, where q 1h represents the h-th segmentation data of the i-th detection line, d' hr represents the rth grayscale data in the hth part of the i-th detection line; The second acquisition unit is used to transmit the i+1th ultrasonic beam to the i+1th position of the tissue to be detected to obtain the i+1th detection line data; the i+1th detection line data includes the grayscale data d of n positions evenly distributed on the i+1th detection line 21 d 22 ,……,d 2n ; The second calculation unit is used to divide the i+1th detection line into h equal parts, the number of grayscale data in each part is r, and the calculation formula of the i-th segmented data is: 2h =(d" h1 +……+d” hr ) / r, where q 2h Indicates the h-th segmentation data of the i+1-th detection line, d" hr represents the rth grayscale data in the hth part of the i+1th detection line; a third calculation unit, configured to obtain an i+1th distance according to the i-th segmentation data and the i+1th segmentation data, so as to determine an i+2th position at which the i+2th ultrasonic beam is emitted, wherein the i+1th distance is the distance between the i+1th position and the i+2th position; The third calculation unit includes: a first calculation subunit, used for obtaining difference data of each portion of the segmented data according to the i-th segmented data and the i+1-th segmented data; a second calculation subunit, used for respectively comparing the difference data of each portion of the segmented data with the difference threshold value to obtain the difference amount corresponding to each portion of the difference data; summing the difference amounts corresponding to each portion of the difference data to obtain the effective difference amount between the i-th detection line data and the i+1-th detection line data; a third calculation subunit, used for obtaining the i+1-th distance according to the effective difference amount to determine the i+2-th position where the i+2-th ultrasonic beam is emitted; The third calculation subunit is specifically used to use the formula Calculate the i+1th distance; where S i+1 represents the i+1th distance, Indicates that the independent variable is c i function, and as c i The increase of becomes smaller; as ci decreases, Get bigger.

5. The scanning interval calculation device for ultrasonic imaging data acquisition according to claim 4, characterized in that: The first calculation subunit is specifically used to use the formula △p h =q 2h -q 1h , where △p h Represents the difference data of the hth portion, and obtains the difference data of each portion of the segmented data.

6. The scanning interval calculation device for ultrasonic imaging data acquisition according to claim 5, characterized in that: The second calculation subunit is used to use the formula Calculate the difference value corresponding to each difference data; where c h represents the difference value corresponding to the hth difference data, td represents the difference threshold, 1 represents valid, and 0 represents invalid; The second calculation subunit is used to use the formula Calculate the effective difference between the i-th detection line data and the i+1-th detection line data; where c i It represents the effective difference between the i+1th detection line and the ith detection line.

7. An ultrasonic detection device, characterized in that: Used for detecting human tissue, the ultrasonic detection device includes the scanning interval calculation device for ultrasonic imaging data acquisition as described in any one of claims 4 to 6.

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