CN108703770B - Ventricular volume monitoring device and method - Google Patents
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Abstract
The application relates to a ventricular volume monitoring device and a method, the ventricular volume monitoring device comprises an image acquisition module and a processor, the image acquisition module is connected with the processor, the image acquisition module acquires an ultrasonic imaging video of an object to be monitored, the processor identifies a fluctuation region of the ultrasonic imaging video in a single cardiac cycle, acquires a total gray value of the fluctuation region, obtains cavity area change information of the object to be monitored according to the total gray value of the fluctuation region, and obtains ventricular volume change information of the object to be monitored based on the cavity area change information. Therefore, the heart catheter technology is not needed, the non-invasive acquisition of the ventricular volume change data can be realized, and the instant ventricular volume change data can be obtained under the condition of uninterrupted monitoring, so that the continuous and non-invasive real-time ventricular volume can be obtained through ultrasonic image analysis.
Description
Technical Field
The present application relates to the field of biomedical engineering technology, and in particular, to a ventricular volume monitoring device and method.
Background
Cardiovascular and cerebrovascular diseases become important reasons harming human health, the measurement of cardiac function not only can be used for early diagnosis and auxiliary diagnosis of cardiovascular diseases, but also can be used for anesthesia, patient monitoring and the like, and has important guiding significance for personnel with higher requirements on physique such as selective athletes, navy, air force and the like; meanwhile, the method can also provide objective indexes in the aspects of evaluating cardiovascular surgery, medicine effect, exercise effect and the like. In addition, the determination of cardiac function is also of great importance in finding subclinical myocardial damage in some disease patients and negative inotropic side effects of some drugs.
Conventional methods for determining cardiac function have primarily been based on cardiac catheter techniques, such as coronary angiography. Coronary angiography has certain mortality and complications, such as myocardial infarction, vascular or cardiac puncture, or malignant arrhythmia. Therefore, the traditional cardiac function measuring method can cause trauma to the heart in the operation process, and has the problem of high risk of trauma.
Disclosure of Invention
In view of the above, there is a need to address the above technical problems by providing a ventricular volume monitoring device and method that can reduce the risk of trauma.
A ventricular volume monitoring device comprising an image acquisition module and a processor, the image acquisition module being connected to the processor;
the image acquisition module acquires an ultrasonic imaging video of an object to be monitored; the processor identifies a fluctuation area of the ultrasonic imaging video frame in a single cardiac cycle, acquires a total gray value of the fluctuation area, obtains cavity area change information of the object to be monitored according to the total gray value of the fluctuation area, and obtains ventricular volume change information of the object to be monitored based on the cavity area change information.
In one embodiment, the processor is further configured to obtain each gray value and a total pixel value of the fluctuation region, and obtain the total gray value of the fluctuation region according to each gray value; and obtaining the cavity area change information of the object to be monitored according to the total pixel value and the total gray value of the fluctuation region on the basis of the unchanged total pixel value of the fluctuation region.
In an embodiment, the processor is further configured to use a difference between the total pixel value and the total gray level value of the fluctuation region as a cavity area change value, obtain a frame number of an ultrasound imaging video of an object to be monitored in a single cardiac cycle and a corresponding cavity area change value, and construct a relationship curve between the frame number and the cavity area change value.
In an embodiment, the processor is further configured to perform filtering and smoothing processing on the cavity area change information, and obtain ventricular volume change information of the object to be monitored based on the cavity area change information after the filtering and smoothing processing.
In one embodiment, the processor is further configured to calibrate the ventricular volume change information based on a preset compensation function.
In one embodiment, the processor is further configured to perform gray processing on the color image video when the ultrasound imaging video of the object to be monitored is the color image video, and identify a fluctuation region of the ultrasound imaging video after the gray processing in a single cardiac cycle.
In one embodiment, the apparatus further comprises an ultrasound imaging acquisition device connected with the processor.
In one embodiment, the device further comprises a display, the display being connected to the processor.
In one embodiment, the device further comprises a recorder, the recorder being connected to the processor.
A ventricular volume monitoring method, the method comprising:
acquiring an ultrasonic imaging video of an object to be monitored;
identifying a fluctuation region of the ultrasound imaging video within a single cardiac cycle;
acquiring a total gray value of the fluctuation region, and acquiring cavity area change information of the object to be monitored according to the total gray value of the fluctuation region;
obtaining the ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored.
The ventricular volume monitoring device and the ventricular volume monitoring method comprise an image acquisition module and a processor, wherein the image acquisition module is connected with the processor; the image acquisition module acquires an ultrasonic imaging video of an object to be monitored, the processor identifies a fluctuation region of the ultrasonic imaging video in a single cardiac cycle, acquires a total gray value of the fluctuation region, acquires cavity area change information of the object to be monitored according to the total gray value of the fluctuation region, and acquires ventricular volume change information of the object to be monitored based on the cavity area change information. The method comprises the steps of processing an obtained ultrasonic imaging video of an object to be monitored, identifying a fluctuation region of the ultrasonic imaging video in a single cardiac cycle, obtaining cavity area change information of the object to be monitored according to a total gray value of the fluctuation region of an ultrasonic imaging video frame of the object to be monitored, and obtaining ventricular volume change information based on the cavity area change information.
Drawings
FIG. 1 is a block diagram of a ventricular volume monitoring device in one embodiment;
FIG. 2 is a schematic illustration of a wave zone in one embodiment;
FIG. 3 is a schematic illustration of an ultrasound image of an embodiment;
FIG. 4 is a graphical representation of the change in cross-sectional area of the lumen during one cardiac cycle in one embodiment;
FIG. 5 is a flowchart of a sharpening process, in one embodiment;
FIG. 6 is a flow diagram of a ventricular volume monitoring method according to one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, a ventricular volume monitoring device is provided, comprising an image acquisition module 100 and a processor 200, the image acquisition module 100 being connected to the processor 200; the image acquisition module 100 acquires an ultrasonic imaging video of an object to be monitored; the processor 200 identifies the fluctuation region of the ultrasonic imaging video in a single cardiac cycle, acquires the total gray value of the fluctuation region, obtains the cavity area change information of the object to be monitored according to the total gray value of the fluctuation region, and obtains the ventricular volume change information of the object to be monitored based on the cavity area change information.
The image acquisition module 100 acquires an ultrasound imaging video of an object to be monitored, and for example, the acquisition of the ultrasound imaging video of the ultrasound imaging device may be completed by a dedicated image acquisition chip. The ultrasound imaging video of the object to be monitored may specifically be an ultrasound imaging video of the object to be monitored within a single cardiac cycle. The cardiac cycle refers to the process that the cardiovascular system undergoes from the start of one heartbeat to the start of the next heartbeat. When the heart is in diastole, the internal pressure is reduced, and the vena cava blood flows back into the heart; the internal pressure rises during systole, pumping blood into the artery; each contraction and relaxation of the heart constitutes a cardiac cycle. The first in a cardiac cycle is a two-atrial contraction, in which the right atrium contracts slightly before the left atrium; the atria begin to dilate and then both ventricles contract, while the left ventricle contracts slightly before the right ventricle, and the atria begin to contract again later in ventricular diastole. Average 0.8 seconds per cardiac cycle, as measured by the average adult heart rate of 75 beats per minute, with an average atrial systole of 0.11 seconds and an average diastolic diastole of 0.69 seconds; the ventricles averaged 0.27 seconds in systole and 0.53 seconds in diastole.
The ultrasonic imaging device plays a significant role in medical diagnosis, plays a great role in medical diagnosis with the advantages of rapidness, safety, real time and the like, and is widely applied to various links such as medical diagnosis, preoperative planning, treatment, postoperative monitoring and the like. The working principle of the ultrasonic imaging equipment can be delay superposition imaging of an array sound field, and in the mode, different delays are introduced into each unit of the array and then synthesized into a focusing beam to realize imaging of each point of the sound field.
The processor 200 identifies the fluctuation region of the ultrasonic imaging video in a single cardiac cycle, acquires the total gray value of the fluctuation region, obtains the cavity area change information of the object to be monitored according to the total gray value of the fluctuation region, and obtains the ventricular volume change information of the object to be monitored based on the cavity area change information. The ultrasonic imaging video of the object to be monitored is processed to distinguish a fluctuation region from a stable region, for example, the change rate of each pixel gray value in each ultrasonic image relative to time can be analyzed according to the video sequence of the acquired ultrasonic imaging video. Specifically, the change range of the gray value of a certain pixel in one cardiac cycle is greater than or equal to a preset value, and the pixel is regarded as an effective pixel; if the variation range is smaller than the preset value, the tissue can be regarded as other tissue areas or signal noise fluctuation. Therefore, a fluctuation area and a stable area can be distinguished, the detection range is reduced, and the interference of a peripheral area is eliminated, wherein different devices have different image qualities in different environments, and the preset value is generally between 30 and 60. And evaluating the gray index of the whole detection area according to the average gray value change of the pixels in the stable area, and dividing the video area into a fluctuation area and the stable area according to the entropy to distinguish the pixels in the fluctuation area from the pixels in the stable area so as to eliminate the interference of muscle tissue blood vessels and the like on the cavity area identification. An ultrasound imaging video within a single cardiac cycle comprises a plurality of ultrasound images, pixel values representing the size of the images, pixel coordinates representing addresses, and gray values representing values in the addresses. The fluctuation region is a region in which the gray value fluctuates with the heart, and in the video of the whole heart cycle, as shown in fig. 2, the region in the lower left frame is always white (the gray value is always above 250 and has no large fluctuation), and this region is regarded as a stable region; the area in the upper right frame is always repeatedly changed in black and white with the cardiac process (the gray value is repeatedly fluctuated greatly from 10 to 250), and the area is regarded as a fluctuation area. According to the above rule, the finally identified fluctuation region will be an irregular-shaped fixed selection region according to each video sample, and the gray values of all pixels in the region regularly fluctuate with the cardiac variation. And obtaining the change information of the cavity area of the object to be monitored according to the total gray value of the fluctuation area, wherein the shape of each cavity has no obvious change in the beating process of the heart, so that the volume of the ventricle has a proportional relation with the cavity area, and the change information of the ventricle volume can be obtained according to the change information of the cavity area by assuming that the proportional coefficient is k.
The ventricular volume monitoring device comprises an image acquisition module and a processor, wherein the image acquisition module is connected with the processor; the image acquisition module acquires an ultrasonic imaging video of an object to be monitored, the processor identifies a fluctuation region of the ultrasonic imaging video in a single cardiac cycle, acquires a total gray value of the fluctuation region, acquires cavity area change information of the object to be monitored according to the total gray value of the fluctuation region, and acquires ventricular volume change information of the object to be monitored based on the cavity area change information. The obtained ultrasonic imaging video of the object to be monitored is processed, the fluctuation region of the ultrasonic imaging video in a single cardiac cycle is identified, the cavity area change information of the object to be monitored is obtained according to the total gray value of the fluctuation region of the ultrasonic imaging video of the object to be monitored, and the ventricular volume change information is obtained based on the cavity area change information.
In one embodiment, the obtaining, by the processor, a total grayscale value of the fluctuation region and obtaining the cavity area change information of the object to be monitored according to the total grayscale value of the fluctuation region includes: acquiring all gray values and pixel total values of the fluctuation area, and acquiring the gray total value of the fluctuation area according to all the gray values; and obtaining the cavity area change information of the object to be monitored according to the total pixel value and the total gray value of the fluctuation region based on the unchanged total pixel value of the fluctuation region. The shadow area in the fluctuation area can be distinguished through shadow detection, and the shadow area in the fluctuation area is separated from the peripheral image, namely the outline of the shadow area is accurately segmented. The shadow is formed by blocking the light rays irradiated to the background by the light source points by the target object, but the illumination intensity in the scene does not change the surface texture characteristic structure of the background; the pixel value of the shaded area is smaller than that of the area without shading because the intensity of the incident ray obtained by the shaded area is weakened.
In one embodiment, the obtaining, by the processor, the cavity area change information of the object to be monitored according to the total pixel value and the total gray level value of the fluctuation region includes: taking the difference between the total pixel value and the total gray level value of the fluctuation area as a cavity area change value; acquiring the frame number of an ultrasonic imaging video of an object to be monitored in a single cardiac cycle and a corresponding cavity area change value; and constructing a relation curve between the frame number and the cavity area change value. Specifically, the total pixel value is 255 × n, n is the total number of detected pixels, the total gray level value Σ G of the fluctuation region is equal to the sum of the gray levels of the pixels in the fluctuation region, and the cavity area variation value is 255 × n- Σ G. In one embodiment, the processor is further configured to obtain a gray value of each pixel in the fluctuation region, and obtain the cavity area change information of the object to be monitored according to the unchanged total gray value of the fluctuation region and the gray value of each pixel. For the ultrasound image shown in fig. 3, the sector areas are all gray pixels, the gray scale range is 0-255, 0 is black, i.e. the cavity area, and 255 is white, i.e. the muscle tissue. And summing all the pixel gray values of the fluctuation area to obtain a total gray value of the fluctuation area. And G1 and G2 … … gn are respectively the gray-scale values of the pixels in the fluctuation area, and the total gray-scale value sigma G in the fluctuation area is G1+ G2+ … … + gn, wherein n is the number of pixels in the fluctuation area, G is the gray-scale value of the pixel, and sigma G is the total gray-scale value of the pixel of the collected video frame. Since the total number of detected pixels n remains unchanged, the change value of the cavity cross-sectional area (black area) is 255 × n- Σ G. And drawing a fitting curve according to the change value of each frame of image, filtering and smoothing the fitting curve, and removing large noise fluctuation to obtain a cavity cross-sectional area change curve in one cardiac cycle as shown in fig. 4.
In one embodiment, image acquisition and video decoding of the ultrasonic imaging video are automatically completed in real time through a special image acquisition chip, and correlation between input signals is removed in a transform coding mode and a data lightless mode. By using a USM (Unshirp Mask) technology, the content of a high-frequency part of an image is enhanced, the content of a low-frequency part is weakened, the visual effect of the image is further sharpened, and the identification accuracy is greatly improved. The sharpening process flow is shown in fig. 5, and the specific expression is as follows: y (n, m) — x (n, m) + λ z (n, m), where x (n, m) is the input image, y (n, m) is the output image, and z (n, m) is the correction signal, obtained by high-pass filtering x. λ is the scaling factor used to control the enhancement effect. In the USM algorithm, z (n, m) can be obtained by taking z (n, m) ═ 4x (n, m) -x (n-1, m) -x (n +1, m) -x (n, m-1) -x (n, m + 1).
In one embodiment, the processor obtains ventricular volume change information of the object to be monitored based on the cavity area change information, and the method comprises the following steps: and carrying out filtering smoothing treatment on the cavity area change information, and obtaining the ventricular volume change information of the object to be monitored based on the cavity area change information after filtering smoothing treatment. And large noise fluctuation can be eliminated through filtering smoothing processing. Smoothing filtering is a low-frequency enhanced spatial domain filtering technique, whose purpose is two categories: one is blur; the other is noise cancellation. The smoothing filtering in the spatial domain can be performed by a simple averaging method, that is, an average luminance value of neighboring pixel points is obtained. The size of the neighborhood is directly related to the smoothing effect, the larger the neighborhood is, the better the smoothing effect is, but the larger the neighborhood is, the larger the edge information loss is due to the fact that the smoothing effect is, so that the output image becomes fuzzy, and therefore the size of the neighborhood needs to be reasonably selected.
In one embodiment, the processor is further configured to calibrate the ventricular volume change information based on a preset compensation function. The ventricular volume and the ventricular cross-sectional area have a proportional relation, and assuming that the proportional coefficient is k, the formula of the ventricular volume change value delta V is as follows: Δ V ═ k ═ n (255 ═ n ∑ G). Considering the difference of the beating characteristics of the heart of different cases, such as the image factors of infants, the elderly, the fat content, the heart lesion and the like, in order to optimize the calibration detection result, a proportion compensation function f (e) can be set in a special case, and then Δ V ═ k ═ f (e) · (255 × n- Σ G), wherein k is a normal ventricular area volume proportion coefficient, f (e) is a special compensation proportion function, and Δ V is a final ventricular volume change value.
In one embodiment, the processor further comprises, prior to identifying the fluctuation region of the ultrasound imaging video within a single cardiac cycle: when the ultrasonic imaging video of the object to be monitored is a color image video, carrying out gray level processing on the color image video; the processor identifies a fluctuation region of the ultrasound imaging video within a single cardiac cycle, comprising: the processor identifies a fluctuation region of the gray-scale processed ultrasound imaging video within a single cardiac cycle. When the ultrasonic imaging video of the object to be monitored is a color image video, the saturation value of the brightness of the pixel with high saturation is reduced to the minimum, subsequent analysis processing is carried out in a gray mode to eliminate interference, and finally, a color mode is used for displaying and a user interface. For example, the RGB values of pixels with RGB values more than 5 may be reduced to R-0, G-0, B-0 to eliminate interference. The RGB color scheme is a color standard in the industry, and various colors are obtained by changing three color channels of red (R), green (G) and blue (B) and superimposing the three color channels on each other, wherein RGB represents the colors of the three color channels of red, green and blue. Optionally, when the detection area is connected to the background, the selection of the final target area is limited to the sector area, and the black background cannot be selected.
In one embodiment, the apparatus further comprises an ultrasound imaging acquisition device, the ultrasound imaging acquisition device being connected to the processor. The ultrasound imaging acquisition device may comprise an ultrasound probe by which a cardiac ultrasound image of the object to be monitored is acquired.
In one embodiment, the device further comprises a display, the display being connected to the processor. The display can be a liquid crystal display screen and can display the cavity area change information, the ventricle volume change information and the like of the object to be monitored.
In one embodiment, the device further comprises a recorder coupled to the processor, the recorder capable of recording the various fitted curves generated by the processor. A recorder is an instrument that converts the process of one or more variables changing over time or another variable into a signal that can be recognized and read. The recorder is a novel intelligent paperless recorder which takes a Central Processing Unit (CPU) as a core and is assisted by a large-scale integrated circuit, a high-capacity FLASH memory (FLASH memory), signal intelligent conditioning, a bus and a high-resolution graphic liquid crystal display. The long-life backlight 160 multiplied by 128 single-color liquid crystal display screen is adopted, 4/8/16 channel analog quantity universal input or 2/4/8 channel analog output and 12 channel alarm output are supported, the set data and the recorded data have the power failure protection function, and the device has the characteristics of small volume, multiple channels, low power consumption, high precision, high universality, stable operation, high reliability and the like. It can save the recorded signal change for analysis and processing, and the recorder can automatically record the slow change process and transient level change process of periodic or aperiodic multipath signal.
In one embodiment, as shown in fig. 6, a ventricular volume monitoring method comprises: step 602, acquiring an ultrasonic imaging video of an object to be monitored; step 604, identifying a fluctuation region of the ultrasound imaging video in a single cardiac cycle; step 606, acquiring a total gray value of the fluctuation region, and obtaining cavity area change information of the object to be monitored according to the total gray value of the fluctuation region; step 608, obtaining ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored.
In one embodiment, a ventricular volume monitoring method comprises: acquiring an ultrasonic imaging video of an object to be monitored; identifying a fluctuation region of the ultrasound imaging video within a single cardiac cycle; acquiring all gray values and pixel total values of the fluctuation area, and acquiring the gray total value of the fluctuation area according to all the gray values; obtaining the cavity area change information of the object to be monitored according to the total pixel value and the total gray value of the fluctuation region on the basis of the constant total pixel value of the fluctuation region; obtaining the ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored.
In one embodiment, a ventricular volume monitoring method comprises: acquiring an ultrasonic imaging video of an object to be monitored; identifying a fluctuation region of the ultrasound imaging video within a single cardiac cycle; acquiring all gray values of the fluctuation area, and acquiring a total gray value of the fluctuation area according to all the gray values; obtaining the cavity area change information of the object to be monitored according to the total pixel value and the total gray value of the fluctuation region on the basis of the constant total pixel value of the fluctuation region; obtaining ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored; wherein, according to the total value of the pixel and the total value of the gray scale of the fluctuation area, the cavity area change information of the object to be monitored is obtained, which comprises: taking the difference between the total pixel value and the total gray level value of the fluctuation area as a cavity area change value; acquiring the frame number of an ultrasonic imaging video of an object to be monitored in a single cardiac cycle and a corresponding cavity area change value; and constructing a relation curve between the frame number and the cavity area change value.
In one embodiment, a ventricular volume monitoring method comprises: acquiring an ultrasonic imaging video of an object to be monitored; carrying out sharpening processing on the ultrasonic imaging video in a single cardiac cycle, and identifying a fluctuation region of the sharpened ultrasonic imaging video; acquiring a total gray value of a fluctuation area; obtaining the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area; obtaining the ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored.
In one embodiment, a ventricular volume monitoring method comprises: acquiring an ultrasonic imaging video of an object to be monitored; identifying a fluctuation region of the ultrasound imaging video within a single cardiac cycle; acquiring a total gray value of a fluctuation area; obtaining the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area; and carrying out filtering smoothing treatment on the cavity area change information, and obtaining the ventricular volume change information of the object to be monitored based on the cavity area change information after filtering smoothing treatment.
In one embodiment, a ventricular volume monitoring method comprises: acquiring an ultrasonic imaging video of an object to be monitored; identifying a fluctuation region of the ultrasound imaging video within a single cardiac cycle; acquiring a total gray value of a fluctuation area; obtaining the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area; obtaining ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored; and calibrating the ventricular volume change information based on a preset compensation function.
In one embodiment, a ventricular volume monitoring method comprises: acquiring an ultrasonic imaging video of an object to be monitored; when the ultrasonic imaging video frame of the object to be monitored is a color image video, carrying out gray processing on the color image video; identifying a fluctuation region of the ultrasonic imaging video subjected to gray level processing in a single cardiac cycle; acquiring a total gray value of a fluctuation area; obtaining the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area; obtaining the ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored.
For specific definitions of the ventricular volume monitoring method, reference may be made to the above definitions of the ventricular volume monitoring device, which are not described in detail herein.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A ventricular volume monitoring device comprising an image acquisition module and a processor, the image acquisition module being connected to the processor;
the image acquisition module acquires an ultrasonic imaging video of an object to be monitored; the processor identifies a fluctuation region of the ultrasonic imaging video in a single cardiac cycle, acquires a total gray value of the fluctuation region, obtains cavity area change information of the object to be monitored according to the total gray value of the fluctuation region, and obtains ventricular volume change information of the object to be monitored based on the cavity area change information; the fluctuation area is obtained by analyzing the change rate of the gray value of each pixel in each ultrasonic image in the ultrasonic imaging video relative to time.
2. The apparatus according to claim 1, wherein the processor is further configured to obtain each gray value and a total pixel value of the fluctuation region, and obtain the total gray value of the fluctuation region according to the each gray value of the same fluctuation region; and obtaining the cavity area change information of the object to be monitored according to the total pixel value and the total gray value of the fluctuation region on the basis of the unchanged total pixel value of the fluctuation region.
3. The device according to claim 2, wherein the processor is further configured to obtain a frame number of the ultrasound imaging video of the object to be monitored in a single cardiac cycle and a corresponding cavity area change value by using a difference between the total pixel value and the total gray level value of the fluctuation region as the cavity area change value, and construct a relationship curve between the frame number and the cavity area change value.
4. The device according to claim 1, wherein the processor is further configured to perform filtering and smoothing on the cavity area change information, and obtain ventricular volume change information of the object to be monitored based on the cavity area change information after the filtering and smoothing.
5. The apparatus of claim 1, wherein the processor is further configured to calibrate the ventricular volume change information based on a preset compensation function.
6. The apparatus of claim 1, wherein the processor is further configured to perform a gray-scale processing on the color image video to identify a fluctuation region of the gray-scale processed ultrasound imaging video in a single cardiac cycle when the ultrasound imaging video of the object to be monitored is the color image video.
7. The apparatus of any one of claims 1 to 6, further comprising an ultrasound imaging acquisition device connected with the processor.
8. The device of any one of claims 1 to 6, further comprising a display, the display coupled to the processor.
9. The apparatus of any one of claims 1 to 6, further comprising a recorder, the recorder coupled to the processor.
10. A ventricular volume monitoring method, the method comprising:
acquiring an ultrasonic imaging video of an object to be monitored;
identifying a fluctuation region of the ultrasound imaging video within a single cardiac cycle; the fluctuation area is obtained by analyzing the change rate of each pixel gray value in each ultrasonic image in the ultrasonic imaging video relative to time;
acquiring a total gray value of the fluctuation region, and acquiring cavity area change information of the object to be monitored according to the total gray value of the fluctuation region;
obtaining the ventricular volume change information of the object to be monitored based on the cavity area change information of the object to be monitored.
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