CN109893146B - Female pelvic floor dysfunction assessment method and system - Google Patents
Female pelvic floor dysfunction assessment method and system Download PDFInfo
- Publication number
- CN109893146B CN109893146B CN201910171389.9A CN201910171389A CN109893146B CN 109893146 B CN109893146 B CN 109893146B CN 201910171389 A CN201910171389 A CN 201910171389A CN 109893146 B CN109893146 B CN 109893146B
- Authority
- CN
- China
- Prior art keywords
- muscle
- pelvic floor
- displacement
- data
- curve
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 210000003903 pelvic floor Anatomy 0.000 title claims abstract description 158
- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000004064 dysfunction Effects 0.000 title abstract description 28
- 210000003205 muscle Anatomy 0.000 claims abstract description 216
- 238000006073 displacement reaction Methods 0.000 claims abstract description 99
- 238000012545 processing Methods 0.000 claims description 20
- 230000008859 change Effects 0.000 claims description 15
- 230000033001 locomotion Effects 0.000 claims description 9
- 210000003689 pubic bone Anatomy 0.000 claims description 5
- 210000000664 rectum Anatomy 0.000 claims description 5
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 230000009466 transformation Effects 0.000 claims description 2
- 238000012360 testing method Methods 0.000 abstract description 14
- 230000008602 contraction Effects 0.000 description 23
- 238000003384 imaging method Methods 0.000 description 12
- 238000001514 detection method Methods 0.000 description 8
- 201000010099 disease Diseases 0.000 description 8
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 8
- 230000009471 action Effects 0.000 description 7
- 208000027418 Wounds and injury Diseases 0.000 description 6
- 210000001215 vagina Anatomy 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 239000000835 fiber Substances 0.000 description 5
- 230000036541 health Effects 0.000 description 5
- 230000006378 damage Effects 0.000 description 4
- 208000014674 injury Diseases 0.000 description 4
- 208000024891 symptom Diseases 0.000 description 4
- 208000012287 Prolapse Diseases 0.000 description 3
- 206010066218 Stress Urinary Incontinence Diseases 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 210000000056 organ Anatomy 0.000 description 3
- 238000002559 palpation Methods 0.000 description 3
- 208000013823 pelvic organ prolapse Diseases 0.000 description 3
- 238000011158 quantitative evaluation Methods 0.000 description 3
- 206010046543 Urinary incontinence Diseases 0.000 description 2
- 206010052428 Wound Diseases 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000002567 electromyography Methods 0.000 description 2
- 238000001125 extrusion Methods 0.000 description 2
- 210000003195 fascia Anatomy 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000004118 muscle contraction Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009933 reproductive health Effects 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 210000004872 soft tissue Anatomy 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000001356 surgical procedure Methods 0.000 description 2
- 230000036962 time dependent Effects 0.000 description 2
- 238000002604 ultrasonography Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 241001313288 Labia Species 0.000 description 1
- 206010050031 Muscle strain Diseases 0.000 description 1
- 201000001880 Sexual dysfunction Diseases 0.000 description 1
- 206010043087 Tachyphylaxis Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 210000003484 anatomy Anatomy 0.000 description 1
- 238000000418 atomic force spectrum Methods 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 210000002808 connective tissue Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 210000001619 diaphragma pelvis Anatomy 0.000 description 1
- 238000013399 early diagnosis Methods 0.000 description 1
- 238000011841 epidemiological investigation Methods 0.000 description 1
- 230000005802 health problem Effects 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 210000003041 ligament Anatomy 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000002595 magnetic resonance imaging Methods 0.000 description 1
- 238000002653 magnetic therapy Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000004630 mental health Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003334 potential effect Effects 0.000 description 1
- 230000035935 pregnancy Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 210000004061 pubic symphysis Anatomy 0.000 description 1
- 231100000872 sexual dysfunction Toxicity 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
- 230000002459 sustained effect Effects 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 230000002485 urinary effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000005186 women's health Effects 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Surgery (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Multimedia (AREA)
- Radiology & Medical Imaging (AREA)
- Theoretical Computer Science (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Physical Education & Sports Medicine (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a female pelvic floor dysfunction assessment method and a system thereof, wherein the method comprises the following steps: step A, acquiring muscle force data of pelvic floor muscles and pelvic floor muscle anatomical structure image data in real time during testing; step B, synchronously acquiring muscle force data and pelvic floor muscle anatomical structure image data; step C, calculating a displacement curve of the characteristic points of the interested region on the pelvic floor muscle along with time according to the pelvic floor muscle anatomical structure image data; and D, calculating a curve of the vaginal muscle force changing along with time according to the muscle force data, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve. The invention can quantitatively evaluate the biomechanical characteristics by simultaneously acquiring two parameters of muscle force data and pelvic floor muscle anatomical structure image data and calculating a curve corresponding to time, thereby providing accurate judgment basis for evaluating the female pelvic floor dysfunction.
Description
Technical Field
The invention relates to the technical field of pelvic floor muscle movement analysis, in particular to a female pelvic floor dysfunction assessment method and a female pelvic floor dysfunction assessment system.
Background
Female pelvic floor dysfunctional disease (FPFD) is a common disease of middle-aged and elderly women with abnormal pelvic floor organ position and function due to injury of pelvic floor support structure, and is mainly characterized in that: stress urinary incontinence, pelvic organ prolapse, and sexual dysfunction. One of the 5 common chronic diseases which threaten the health of women is a social health problem which is increasingly valued on the global scale. Although FPFD is not life-threatening, it seriously affects women's social activities, physical and mental health, and quality of life. Epidemiological investigations have shown that pregnancy and labor are independent risk factors for FPFD. It has been reported that pelvic floor muscle or fascia injury occurs in approximately 10-36% of primiparous women in the united states, and that about 10% of women in the united states require surgical treatment due to severe FPFD, with annual costs in the united states of 100 billion dollars for simple urinary incontinence. According to Australian statistics, the incidence of postpartum urinary incontinence is about 15% to 40%. China currently lacks exact epidemiological data, and about 38.5% of postpartum women suffer from Stress Urinary Incontinence (SUI) according to epidemiological survey in Beijing area in 2005 and the prevalence rate increases with age.
The theory of the existing hammock, namely the theory of three supporting levels of vagina, divides fascia, ligaments, connective tissues and pelvic floor muscles which support the vagina into an upper level, a middle level and a lower level to support the pelvic floor, and indicates that an anal levator muscle group is the most important supporting structure in the three supporting levels of the pelvic floor, once relaxation or injury occurs, pelvic organs cannot be maintained at normal positions, and thus pelvic floor dysfunction diseases such as pelvic floor organ prolapse and the like occur. The precondition for preventing and treating the pelvic floor dysfunction disease is timely discovery and accurate diagnosis. The main basis for clinical diagnosis of pelvic floor dysfunction diseases is gynecological examination results, and pelvic organ prolapse and degree thereof are diagnosed by applying a quantitative POP-Q graduation method for pelvic organ prolapse recommended by International urinary control society. At present, a simple, objective and accurate method is not available for diagnosing postpartum pelvic floor support structure injuries, patients and clinicians have insufficient knowledge on FPFD, the disease is hidden, most patients are exposed to hospitalization, the symptoms are often hidden by the patients, only 3% of patients seek medical attention due to the symptoms of FPFD, so that the number of patients who see medical attention at early stage is small, most patients have obvious clinical symptoms even see medical attention after daily life is influenced, the symptoms can be improved only by surgical treatment, and the noninvasive treatment period of early diagnosis and timely rehabilitation (physical treatment through pelvic floor muscle exercise, biological feedback, pelvic floor magnetic therapy and the like) is missed.
In 2009, the department of national ministry of health and women's health and the department of community health have started a comprehensive prevention and treatment project for paying attention to the reproductive health of women, especially for pelvic floor dysfunctional diseases, and pelvic floor rehabilitation therapy has become one of the national health engineering. The 2012 national science and technology department lists "standardized diagnosis and treatment of pelvic floor dysfunctional diseases" as an important special guideline in the field of national science and technology program population and health. How to strengthen and improve the reproductive health care consciousness of young mothers, reduce the occurrence of postpartum FPFD, improve the life quality and family happiness of the mothers and mothers is a great civil topic.
The existing pelvic floor muscle assessment method comprises palpation, intra-vaginal pressure test, electromyography test and imaging technology, and has respective advantages and respective limits.
The traditional Vaginal palpation (Vaginal pallation) is a method widely used by physiotherapists to evaluate the contraction capacity of the pelvic floor muscles at present, and testers directly sense the muscle strength of Vaginal contraction by means of finger diagnosis and grade the muscles by combining an Oxford scoring system. The vagina palpation method is sensitive, simple and commonly used; however, the subjective judgment of the tester requires the diagnostician to have a skilled experience, and therefore, the diagnostician has a certain measurement error.
The intra-vaginal pressure test is an assessment of muscles by measuring their squeezing force, primarily with respect to muscle strength. This method is susceptible to interference from other muscle group forces and fails to locate which muscle is particularly problematic.
Electromyography tests are the assessment of muscles by measuring their electrical potential activity, which includes needle electrodes and surface electrodes. The surface electrode collects the whole electromyographic signals of the muscle groups, and a single muscle cannot be specifically positioned; needle electrodes can test a single muscle, but are strongly invasive and poorly tolerated by clinical patients.
With the rapid development of the imaging technology, the ultrasonic imaging technology, the magnetic resonance imaging technology and the X-ray imaging technology can image the anatomical structure and the morphological position of pelvic floor muscles, and the pelvic floor muscles are indirectly evaluated by measuring equivalent parameters of the area of a pelvic diaphragm fissure hole. Indirect assessment of the activity of the levator ani muscle tested was performed indirectly by measuring the lateral and longitudinal displacement of the internal urethral meatus relative to the lower posterior margin of the pubic symphysis when the levator ani muscle was in a state of rest to maximum contraction by ultrasound.
The evaluation method for the mechanical properties of the pelvic floor muscles has subjectivity or is invasive (namely with wounds), the acquired evaluation parameters cannot quantitatively reflect the own biomechanical properties of the pelvic floor muscles, and the detection accuracy of the pelvic floor muscle force is low.
Thus, the prior art has yet to be improved and enhanced.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to provide a female pelvic floor dysfunction assessment method and a system thereof, so as to solve the problem that the existing pelvic floor muscle assessment method is low in accuracy in detecting pelvic floor muscle force.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for assessing female pelvic floor dysfunction, comprising
Step A, acquiring muscle force data of pelvic floor muscles and pelvic floor muscle anatomical structure image data in real time during testing;
step B, synchronously acquiring muscle force data and pelvic floor muscle anatomical structure image data;
step C, calculating a displacement curve of the characteristic points of the interested region on the pelvic floor muscle along with time according to the pelvic floor muscle anatomical structure image data;
and D, calculating a curve of the vaginal muscle force changing along with time according to the muscle force data, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve.
In the method for evaluating female pelvic floor dysfunction, in the step a, the obtaining muscle strength data of pelvic floor muscles in real time specifically includes:
step A1, acquiring female pelvic floor muscle force through a pressure detection module, and converting the female pelvic floor muscle force into a corresponding pressure signal to be output;
and step A2, the data processing module processes the pressure signal, converts the pressure signal into a waveform diagram, displays the waveform diagram and outputs muscle strength data.
In the method for evaluating female pelvic floor dysfunction, the step B specifically includes:
the image acquisition card acquires the pelvic floor muscle anatomical structure image data at each preset time point, and marks the acquired time points and the acquired pelvic floor muscle anatomical structure image data in a one-to-one correspondence manner; and the data acquisition card acquires the muscle force data at each preset time point and marks the acquired time points and the acquired muscle force data in a one-to-one correspondence manner.
In the method for evaluating the female pelvic floor dysfunction, in the step C, a displacement curve of each interested area of pelvic floor muscles along with the change of time is established through a motion tracking algorithm. Calculating a displacement curve of the characteristic points of the interested region on the pelvic floor muscle along with time according to the pelvic floor muscle anatomical structure image data
In the method for evaluating female pelvic floor dysfunction, the step C specifically includes:
step C1, tracking displacement fields of a first characteristic point and a second characteristic point of the region of interest in the nth frame image and the (n + 2) th frame image in the pelvic floor muscle anatomical structure image data;
and C2, comparing the images of the nth frame and the (n + 2) th frame, and calculating a displacement curve of the first characteristic point and the second characteristic point along with the change of time on the displacement field.
In the female pelvic floor dysfunction assessment method, the first characteristic point is one bisecting point close to the pubis and which divides the puborectalis muscle into three sections averagely, and the second characteristic point is the other bisecting point close to the rectum and which divides the puborectalis muscle into three sections averagely.
A system for implementing the method for assessing female pelvic floor dysfunction, comprising:
the vaginal muscle strength acquisition device is used for acquiring muscle strength data of pelvic floor muscles in real time during testing;
the pelvic floor muscle imaging device is used for acquiring pelvic floor muscle anatomical structure image data in real time during testing;
the data acquisition device is used for synchronously acquiring muscle force data and pelvic floor muscle anatomical structure image data;
the PC is used for calculating a displacement curve of the characteristic points of the interested region on the pelvic floor muscles along with time according to the pelvic floor muscle anatomical structure image data; and calculating a curve of the vaginal muscle force changing along with time according to the muscle force data, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve.
In the system, the vaginal muscle strength acquisition device comprises:
the pressure detection module is used for acquiring the female pelvic floor muscle force and converting the female pelvic floor muscle force into a corresponding pressure signal to be output;
and the data processing module is used for processing the pressure signal, converting the pressure signal into a oscillogram, displaying the oscillogram and outputting muscle strength data.
In the system, the data acquisition device includes:
the image acquisition card is used for acquiring the pelvic floor muscle anatomical structure image data at each preset time point and marking the acquired time points and the acquired pelvic floor muscle anatomical structure image data in a one-to-one correspondence manner;
and the data acquisition card is used for acquiring the muscle force data at each preset time point and marking the acquired time points and the acquired muscle force data in a one-to-one correspondence manner.
Compared with the prior art, the female pelvic floor dysfunction assessment method and the system thereof provided by the invention have the advantages that the muscle force data of the pelvic floor muscles and the image data of the pelvic floor muscle anatomical structure are acquired in real time during testing; synchronously acquiring muscle force data and pelvic floor muscle anatomical structure image data; calculating a displacement curve of the characteristic points of the interested region on the pelvic floor muscle along with time according to the pelvic floor muscle anatomical structure image data; and calculating a curve of the vaginal muscle force changing along with time according to the muscle force data, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve. By simultaneously acquiring two parameters of muscle strength data and pelvic floor muscle anatomical structure image data and calculating a curve corresponding to time, quantitative evaluation can be performed on biomechanical characteristics, and accurate judgment basis is provided for female pelvic floor dysfunction evaluation.
Drawings
Fig. 1 is a flow chart of a female pelvic floor dysfunction assessment method provided by the invention.
Fig. 2 is a block diagram of a system for evaluating female pelvic floor dysfunction according to the present invention.
Fig. 3 is a schematic diagram of a pressure detection module in the system for evaluating female pelvic floor dysfunction according to the present invention.
FIG. 4 is a graph of vaginal muscle force as a function of time during a rapid contraction of the present invention.
FIG. 5 is a graph of vaginal muscle force as a function of time during slow contraction in accordance with the present invention.
Fig. 6 is a graph showing the displacement curve of the muscle deformation quantity in the radial displacement of two characteristic points with time during the rapid contraction of the invention.
Fig. 7 is a graph showing the displacement curve of the muscle deformation quantity with time on the tangential displacement of two characteristic points during the rapid contraction of the invention.
Fig. 8 is a graph showing the displacement curve of the muscle deformation quantity in radial displacement of two characteristic points with time when the invention is slowly contracted.
Fig. 9 is a graph showing the displacement curve of the muscle deformation quantity in tangential displacement of two characteristic points with time when the invention is slowly contracted.
Detailed Description
The invention provides a female pelvic floor dysfunction assessment method and a system thereof, which can perform non-invasive and real-time assessment on pelvic floor muscle contraction strength during testing, perform quantitative evaluation on biomechanical characteristics of soft tissues, and provide accurate judgment basis for female pelvic floor dysfunction assessment. In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1 and 2, the method for evaluating female pelvic floor dysfunction according to the present invention comprises:
s100, acquiring muscle force data of pelvic floor muscles and image data of pelvic floor muscle anatomical structures in real time during testing;
s200, synchronously acquiring muscle force data and pelvic floor muscle anatomical structure image data;
s300, calculating a displacement curve of the characteristic points of the region of interest on the pelvic floor muscles along with time according to the pelvic floor muscle anatomical structure image data;
s400, calculating a curve of the vaginal muscle force changing along with time according to the muscle force data, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve.
The present embodiment enables quantitative assessment of the biomechanical properties of soft tissue, in particular pelvic floor muscles, based mainly on two parameters, namely the muscle force exerted actively or passively during muscle movement and the amount of deformation of the muscle or of the displacement. In summary of the existing techniques for evaluating pelvic floor muscles, there is no technique for simultaneously obtaining these two parameters of pelvic floor muscles, and thus the intrinsic biomechanical properties of the muscles cannot be quantitatively evaluated.
In step S100, muscle strength data (i.e., a value of muscle strength) is acquired in real time by the vaginal muscle strength collecting device 1. As shown in fig. 2, the vaginal muscle strength collecting device 1 comprises a pressure intensity detection module 11 and a data processing module 12, wherein the pressure intensity detection module is connected with the data processing module; the female pelvic floor muscle strength is obtained through the pressure detection module, the female pelvic floor muscle strength is converted into corresponding pressure signals to be output, the pressure signals are subjected to signal processing through the data processing module, the pressure signals are converted into oscillograms to be displayed (pressure change is displayed in a curve mode in real time), and muscle strength data are output. The data processing module 12 is provided in a pc (personal computer) machine.
For example, the pressure detecting module 11 is shown in fig. 3, and includes a bladder 110, a first conduit 121, a second conduit 122, a three-way valve 130, and a housing box 140 for housing a pressure sensor. The injection port a of the balloon 110 is communicated with one end of a first conduit 121, the other end of the first conduit 121 is communicated with one end of a second conduit 122 through a containing box 140, and the other end of the second conduit 122 is communicated with a second valve port 2 of a three-way valve 130; the data acquisition part (not shown in the figure) of the pressure sensor is arranged in the containing box 140, the data transmission part of the pressure sensor extends out of the containing box 140, the data wire 301 of the data transmission part is connected with the data processing module, and the first conduit 121, the second conduit 122 and the connection part of the pressure sensor and the containing box are sealed and fixed.
After the syringe is inserted into the third port 3 to fill gas or liquid into the air bag 110, the air bag 110 is placed in the vagina to contact with muscles of the air bag 110, the air bag 110 is pressed when the pelvic floor muscles contract to cause the internal pressure change, the same pressure change can be obtained in the containing box 140, the pressure in the containing box 140 is detected through a data acquisition part (a related pressure sensing device) of the pressure sensor, so that the extrusion force of the muscles is converted into the extrusion force of the air bag 110, and the muscle force of the pelvic floor muscles is indirectly obtained. The pressure signal obtained by the pressure sensor is transmitted to the data processing module 12 through the data line 301 for corresponding processing, and then muscle strength data can be obtained. The implementation mode is simple, and the wound and pain of a human body can not be caused when the device is used; the muscle strength data can be acquired in real time and displayed by a waveform diagram of a curve, and the display result is visual and convenient to observe.
In said step S100, pelvic floor muscle anatomy image data (i.e. values of deformation) are acquired in real time by the pelvic floor muscle imaging apparatus 2. The pelvic floor muscle imaging device 2 includes, but is not limited to, various clinical imaging devices including ultrasonic imaging, in this embodiment, ultrasonic imaging is taken as an example, and then the pelvic floor muscle imaging device 2 is an existing ultrasonic apparatus.
In step S200, muscle force data and pelvic floor muscle anatomy image data are synchronously acquired by the data acquisition device 3. The data acquisition device 3 is arranged in a PC and comprises an image acquisition card 31 for acquiring the pelvic floor muscle anatomical structure image data at each preset time point and a data acquisition card 32 for acquiring the muscle strength data at each preset time point. In specific implementation, the image acquisition card 31 and the data acquisition card 32 may be directly inserted into the motherboard of the PC 4, and the data acquisition card is connected to the data processing module through an interface on the motherboard, and the image acquisition card is connected to the image output port of the ultrasound apparatus.
When the pelvic floor muscles do active or passive contraction movement, muscle force data are synchronously and continuously recorded by the pressure sensors in the air bags and are transmitted to the data acquisition card 32 through the data processing module 12. The pelvic floor muscle anatomy structure image data are synchronously and continuously recorded by the ultrasonic instrument and are transmitted to the image acquisition card 31 in parallel. The image acquisition card 31 and the data acquisition card 32 are time-unified and synchronous, the preset time points of the two are the same, that is, the muscle strength data and the pelvic floor muscle anatomical structure image data are acquired at the same time point, and the acquired time points are marked in one-to-one correspondence with the acquired pelvic floor muscle anatomical structure image data/muscle strength data. The muscle force data and pelvic floor muscle anatomy image data can now be displayed in real time on a PC.
The image data of the pelvic floor muscle anatomy structure is a multi-frame image, and when the image data is rapidly displayed on a PC (personal computer), the image data is equivalent to a video playing the expansion and contraction state (namely the deformation quantity during expansion and contraction) of the pelvic floor muscle. Since there are too many monitoring points in the pelvic floor muscle, the present embodiment detects only the deformation amount of the muscle at several characteristic points.
In the step S300, a motion tracking algorithm (which is a prior art) may be used to establish a displacement curve of each region of interest of the pelvic floor muscles over time. And all kinds of displacement tracking algorithms based on images or ultrasonic radio frequency signals are suitable. Taking an optical flow method based on a gray image as an example, first displacement fields u and v (representing rectangular coordinates, u is a transverse displacement, and v is a longitudinal displacement) of first and second feature points of a Region of interest (ROI) in an nth frame and an n +2 th frame of images in pelvic floor muscle anatomical structure image data are tracked. Then, a second displacement field r, q (representing polar coordinates, r is radial displacement and q is tangential displacement) is obtained by coordinate transformation. And comparing the images of the nth frame and the (n + 2) th frame, and calculating displacement curves of the first characteristic point and the second characteristic point along with the change of time on the two displacement fields. u and v are expressed by the same displacement field in different coordinate systems with r and q; (u, v) are rectangular coordinates, and (r, q) are polar coordinates. The displacement values for the same point of interest may be scaled to each other at two coordinates. The first displacement field and the second displacement field are used for distinguishing displacement fields based on different coordinate systems in the embodiment; the displacement field is calculated globally without distinction, and the displacement field is calculated for all pixel points of the whole ROI, and only when the displacement field is finally used for representation, displacement curves of the first characteristic point and the second characteristic point are adopted.
This embodiment equally divide into the three-section with the puborectalis muscle between pubis and the rectum, then has two equipartition points on the puborectalis muscle, and first characteristic point is close to a equipartition point of pubis promptly, and the second characteristic point is close to another equipartition point of rectum promptly. Starting from n =1, respectively finding out displacement fields (u, v, r and q) of a first characteristic point in the images of the 1 st frame and the 3 rd frame, comparing the images of the 1 st frame and the 3 rd frame to obtain a change value of the displacement fields (u, v, r and q) of the first characteristic point from the 1 st frame to the 3 rd frame, wherein different frames are different time, and thus obtaining a displacement curve of the first characteristic point along with the change of time. By analogy, comparing the 2 nd frame with the 4 th frame, comparing the 3 rd frame with the 5 th frame, and comparing the 4 th frame with the 6 th frame, the displacement curve of the characteristic point along with the time can be obtained.
Finally, in step S400, a time-dependent curve of vaginal muscle strength and a time-dependent curve of muscle deformation displacement are plotted. These curves may show the synchronicity of maximum muscle force with maximum muscle displacement, the percentage of change in muscle thickness while maintaining maximum muscle force, maximum muscle displacement, etc. The female pelvic floor dysfunction can be quantitatively evaluated according to the parameters on the graph.
Based on the above method for evaluating female pelvic floor dysfunction, the present invention further provides a system for evaluating female pelvic floor dysfunction, please continue to refer to fig. 2, the system includes:
the vaginal muscle strength acquisition device 1 is used for acquiring muscle strength data of pelvic floor muscles in real time during testing;
the pelvic floor muscle imaging device 2 is used for acquiring pelvic floor muscle anatomical structure image data in real time during testing; in particular, an ultrasonic instrument may be used.
The data acquisition device 3 is used for synchronously acquiring muscle force data and pelvic floor muscle anatomical structure image data;
the PC 4 is used for calculating a displacement curve of the characteristic points of the interested region on the pelvic floor muscles along with time according to the pelvic floor muscle anatomical structure image data; and calculating a curve of the vaginal muscle force changing along with time according to the muscle force data, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve.
Wherein, vagina muscle power collection system 1 includes:
the pressure detection module 11 is used for acquiring the female pelvic floor muscle force and converting the female pelvic floor muscle force into a corresponding pressure signal to be output; the specific structure is shown in fig. 3.
The data processing module 12 is used for processing the pressure signal, converting the pressure signal into a oscillogram, displaying the oscillogram and outputting muscle strength data; which is provided in a PC.
the image acquisition card 31 is used for acquiring the pelvic floor muscle anatomical structure image data at each preset time point and marking the acquired time points and the acquired pelvic floor muscle anatomical structure image data in a one-to-one correspondence manner;
and the data acquisition card 32 is used for acquiring the muscle strength data at each preset time point and marking the acquired time points and the acquired muscle strength data in a one-to-one correspondence manner.
With continued reference to fig. 1-3, assume that the patient is lying flat on the examination table in a supine position. Slow contraction is the relaxation of the patient after slowly contracting the muscles to a maximum and holding for as much as 5 seconds to assess the function of the class I fibers (slow contracting fibers) in the levator ani muscle to maintain sustained tension. Tachyphylaxis is the continuous rapid contraction and relaxation of the patient at a specified frequency for at least 3 times to evaluate the function of the class II fibers (fast contracting fibers) in the levator ani, which maintain reflexive and spontaneous contractions.
In the vaginal muscle strength acquisition device 1, a doctor fills a small amount of water into the air bag and places the air bag lightly in the vagina of a patient. In order to ensure the accuracy and repeatability of the vaginal muscle strength sensed by the air bag, a doctor can continuously inject water into the air bag to ensure that the air bag is attached to the vaginal wall as much as possible, and meanwhile, the doctor can take care of the actual feeling of a patient so as not to influence the normal running of the autonomous contraction action of pelvic floor muscles such as the subsequent valsaval action and the like. Initial values of vaginal muscle force were recorded in the patient's relaxed state.
The doctor places the ultrasonic probe of the ultrasonic instrument on the labia, and adjusts the position and the direction of the ultrasonic probe so as to obtain a complete ultrasonic sectional image (namely pelvic floor muscle anatomical structure image data) of a certain piece or a plurality of pieces of pelvic floor muscles in a target area.
The patient is instructed by the physician to perform a prescribed action, such as the slow or fast contraction described above, slowly or continuously contracting the pelvic floor muscles at a relatively fast rate. When the action starts, the PC starts a computer data acquisition program, and the data acquisition card and the image acquisition card synchronously and continuously acquire muscle strength data and pelvic floor muscle anatomical structure image data. And stopping data acquisition when the action is finished.
And the PC adopts a motion tracking algorithm to the pelvic floor muscle anatomical structure image data to obtain a displacement curve of each pixel in the image relative to the initial frame along with the change of time. The variation of the muscle force with time is plotted for the same time period.
Because the muscle force and the muscle displacement are obtained synchronously, the two curves can be merged on the same time axis and used for extracting a plurality of parameters for quantitatively evaluating the biomechanical characteristics of the muscle, such as the maximum muscle force which can be reached when the pelvic floor muscle of a patient contracts automatically, the time synchronism of the muscle force and the muscle displacement, the change percentage of the muscle thickness when the maximum muscle force is maintained, the maximum muscle displacement and the like. These parameters have all been clinically proven to have significant correlations with female pelvic floor prolapse.
The obtained vaginal muscle force curves over time are shown in fig. 4 (muscle force at fast contraction) and fig. 5 (muscle force at slow contraction). In fig. 4 and 5, the X axis represents time t (unit s), and the Y axis represents the magnitude of muscle strength (unit N) corresponding to each time point. Fig. 6 is a graph showing the displacement curve of the muscle deformation quantity with time on the radial displacement of two characteristic points during the fast contraction. Fig. 7 is a graph showing the displacement curve of the muscle deformation quantity with time on the tangential displacement of two characteristic points during fast contraction. Fig. 8 is a graph showing the displacement of the muscle strain with time in the radial displacement of two characteristic points during slow contraction. Fig. 9 is a graph showing the displacement curve of the muscle deformation quantity over time on the tangential displacement of two characteristic points in the case of slow contraction. In fig. 6 to 9, the X-axis represents time t (unit s), and the Y-axis represents the displacement amount of each feature point (Pu represents a first feature point near the pubic bone, Re represents a second feature point near the rectum) at the corresponding time point.
From fig. 4-9, the following parameters can be measured:
maximum intra-vaginal pressure for a woman undergoing pelvic floor muscle contraction under the direction of a physician, the rate at which maximum pressure is reached from a relaxed state, the length of time the maximum intra-vaginal pressure is maintained, the number of times the maximum pressure can be reached while undergoing rapid contraction and relaxation, and the like.
The maximum displacement and the maximum thickness of the pelvic floor muscles of the female can be achieved when the female performs the designated action, the time length for maintaining the maximum thickness of the muscles, the synchronism of fibers of all parts of the muscles when performing the rapid contraction and relaxation action and the like.
Biomechanical properties of the pelvic floor muscles such as synchronicity of time variation of muscle force and muscle displacement, slope of the muscle force versus displacement curve (usually this slope represents the stiffness of the tissue), rate of change of thickness of the muscle maintaining the maximum muscle force interval, and the like.
In conclusion, the transvaginal method is adopted, muscle force data and pelvic floor muscle anatomical structure image data which continuously change in the whole process of muscle movement are synchronously acquired when the pelvic floor muscles actively or passively move, the movement displacement condition of the muscles can be obtained after deformation tracking processing, the comprehensive analysis result of the deformation and the muscle force can objectively and effectively reflect the mechanical characteristics of the pelvic floor muscles, and the grading of the prolapse degree of the female pelvic floor muscles according to the parameters on the curve of the vaginal muscle force changing along with time and the displacement curve of the muscle deformation changing along with time has very high conformity with the clinical grading standard; the method has the advantages of non-invasiveness and objectivity, and realizes the objective quantitative evaluation of the elastic property of the pelvic floor muscle.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.
Claims (4)
1. A method for processing female pelvic floor muscle data is characterized by comprising
Step A, calculating a displacement curve of a characteristic point of an interested area on pelvic floor muscles along with time according to pelvic floor muscle anatomical structure image data of the pelvic floor muscles;
b, calculating a curve of the vaginal muscle force changing along with time according to muscle force data of pelvic floor muscles, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve; the method comprises a displacement curve of the muscle deformation quantity on the radial displacement of two characteristic points changing along with time during fast shrinkage, a displacement curve of the muscle deformation quantity on the tangential displacement of the two characteristic points changing along with time during fast shrinkage, a displacement curve of the muscle deformation quantity on the radial displacement of the two characteristic points changing along with time during slow shrinkage, and a displacement curve of the muscle deformation quantity on the tangential displacement of the two characteristic points changing along with time during slow shrinkage; the pelvic floor muscle anatomy image data and muscle force data are synchronized;
the step A specifically comprises the following steps:
step A1, tracking a first displacement field of a first characteristic point and a second characteristic point of an interested area in an nth frame and an n +2 th frame of images in pelvic floor muscle anatomical structure image data, and obtaining a second displacement field through coordinate transformation;
step a2, starting from n being 1, respectively finding out displacement fields in the nth frame and the (n + 2) th frame, comparing the nth frame with the (n + 2) th frame to obtain the change values of the displacement fields from the nth frame to the (n + 2) th frame, wherein different frames are different in time, and calculating the displacement curves of the first characteristic point and the second characteristic point on the two displacement fields along with the change of time.
2. The method for processing female pelvic floor muscle data according to claim 1, wherein in step a, a time-varying displacement curve of each region of interest of the pelvic floor muscles is established by a motion tracking algorithm, and the time-varying displacement curve of the feature points of the region of interest of the pelvic floor muscles is calculated from the pelvic floor muscle anatomy image data.
3. The method for processing female pelvic floor muscle data according to claim 2, wherein the first characteristic point is one bisecting point near the pubic bone that equally divides the puborectal muscle into three segments, and the second characteristic point is another bisecting point near the rectum that equally divides the puborectal muscle into three segments.
4. A system for implementing the method of processing female pelvic floor muscle data of claim 1, comprising:
the PC is used for calculating a displacement curve of the characteristic points of the interested region on the pelvic floor muscles along with time according to the pelvic floor muscle anatomical structure image data; and calculating a curve of the vaginal muscle force changing along with time according to the muscle force data, and calculating a displacement curve of the muscle deformation changing along with time according to the displacement curve.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910171389.9A CN109893146B (en) | 2019-03-07 | 2019-03-07 | Female pelvic floor dysfunction assessment method and system |
| PCT/CN2019/126795 WO2020177447A1 (en) | 2019-03-07 | 2019-12-20 | Method and system for evaluating female pelvic floor dysfunction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910171389.9A CN109893146B (en) | 2019-03-07 | 2019-03-07 | Female pelvic floor dysfunction assessment method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109893146A CN109893146A (en) | 2019-06-18 |
| CN109893146B true CN109893146B (en) | 2022-07-05 |
Family
ID=66946604
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910171389.9A Expired - Fee Related CN109893146B (en) | 2019-03-07 | 2019-03-07 | Female pelvic floor dysfunction assessment method and system |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN109893146B (en) |
| WO (1) | WO2020177447A1 (en) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109893146B (en) * | 2019-03-07 | 2022-07-05 | 深圳大学 | Female pelvic floor dysfunction assessment method and system |
| CN112535480B (en) * | 2019-09-20 | 2024-07-12 | 深圳市理邦精密仪器股份有限公司 | Method for identifying pelvic floor muscle state, related device, equipment and storage device |
| CN111383212B (en) * | 2020-03-06 | 2023-09-01 | 深圳度影医疗科技有限公司 | Analysis method of basin bottom ultrasonic video image |
| CN111513713B (en) * | 2020-04-30 | 2022-01-14 | 中山大学附属第一医院 | Method for evaluating body muscle cerebral cortex movement representative region and application thereof |
| CN112426322B (en) * | 2020-12-10 | 2022-05-31 | 南京麦澜德医疗科技股份有限公司 | Stretch training system for female pelvic floor muscles |
| CN112700856A (en) * | 2021-01-15 | 2021-04-23 | 南京微医智能医药科技有限公司 | Integrated application device for pelvic floor muscles and control method thereof |
| CN113367661A (en) * | 2021-06-11 | 2021-09-10 | 河南大学淮河医院 | Detection and rehabilitation method and system for postpartum rectus abdominis separation |
| CN113520412A (en) * | 2021-07-15 | 2021-10-22 | 浙江远翔医疗科技有限公司 | Electromyogram intelligent detection device and operation method |
| CN113509644B (en) * | 2021-08-10 | 2023-04-25 | 浙江大学 | Multi-site electric stimulation system for pelvic floor rehabilitation and capable of adjusting parameters in real time |
| CN113974688B (en) * | 2021-09-18 | 2024-04-16 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic imaging method and ultrasonic imaging system |
| CN114307085A (en) * | 2022-02-09 | 2022-04-12 | 北京惠仁阳光医疗器械有限公司 | Resistance training device for pelvic floor rehabilitation |
| CN115363606A (en) * | 2022-08-26 | 2022-11-22 | 左点实业（湖北）有限公司 | Pelvic floor muscle and abdominal muscle coordination analysis method, device and equipment |
| CN115814359A (en) * | 2022-11-17 | 2023-03-21 | 首都医科大学附属北京潞河医院 | Pelvic floor muscle training guidance system and method and electronic equipment |
| CN115530881B (en) * | 2022-11-29 | 2023-03-07 | 四川大学华西第二医院 | Multi-mode data fusion basin bottom function overall evaluation method and device |
| CN116671940A (en) * | 2023-05-22 | 2023-09-01 | 广州辉博信息技术有限公司 | Pelvic floor muscle dysfunction screening and treating system and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105962957A (en) * | 2016-05-18 | 2016-09-28 | 深圳大学 | System for evaluating female pelvic floor muscle strength |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8052622B2 (en) * | 2009-09-02 | 2011-11-08 | Artann Laboratories Inc | Methods for characterizing vaginal tissue elasticity |
| CN103584884B (en) * | 2013-11-07 | 2015-07-01 | 中国科学院深圳先进技术研究院 | Muscle force assessment method and device and muscle rehabilitation training tracking and assessment method and system |
| US20170065249A1 (en) * | 2015-09-08 | 2017-03-09 | Advanced Tactile Imaging Inc. | Methods and probes for vaginal tactile and ultrasound imaging |
| CN108742705A (en) * | 2018-04-10 | 2018-11-06 | 深圳大学 | A kind of supersonic imaging apparatus and method of real-time detection muscle morphological parameters |
| CN109893146B (en) * | 2019-03-07 | 2022-07-05 | 深圳大学 | Female pelvic floor dysfunction assessment method and system |
-
2019
- 2019-03-07 CN CN201910171389.9A patent/CN109893146B/en not_active Expired - Fee Related
- 2019-12-20 WO PCT/CN2019/126795 patent/WO2020177447A1/en active Application Filing
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105962957A (en) * | 2016-05-18 | 2016-09-28 | 深圳大学 | System for evaluating female pelvic floor muscle strength |
Non-Patent Citations (1)
| Title |
|---|
| 基于超声弹性成像的女性盆底肌肉定量评估方法;黄帅等;《中国生物医学工程学报》;20170831;第36卷(第4期);第401-409页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020177447A1 (en) | 2020-09-10 |
| CN109893146A (en) | 2019-06-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109893146B (en) | Female pelvic floor dysfunction assessment method and system | |
| Frawley et al. | An International Continence Society (ICS) report on the terminology for pelvic floor muscle assessment | |
| Mørkved et al. | Pelvic floor muscle strength and thickness in continent and incontinent nulliparous pregnant women | |
| Abrams et al. | Standardisation of terminology of lower urinary tract function | |
| US8419659B2 (en) | Methods for assessment of improvements in pelvic organ conditions after an interventional procedure | |
| Egorov et al. | Vaginal tactile imaging | |
| US20070167818A1 (en) | Device and system for in-vivo measurement of biomechanical properties of internal tissues | |
| US20070167819A1 (en) | Method for in-vivo measurement of biomechanical properties of internal tissues | |
| US20170065249A1 (en) | Methods and probes for vaginal tactile and ultrasound imaging | |
| Ashton-Miller et al. | Validity and reliability of an instrumented speculum designed to minimize the effect of intra-abdominal pressure on the measurement of pelvic floor muscle strength | |
| Miller et al. | Test‐retest reliability of an instrumented speculum for measuring vaginal closure force | |
| CN105962957A (en) | System for evaluating female pelvic floor muscle strength | |
| Bauer et al. | Assessment of the in vivo biomechanical properties of the human uterine cervix in pregnancy using the aspiration test: a feasibility study | |
| Constantinou | Dynamics of female pelvic floor function using urodynamics, ultrasound and Magnetic Resonance Imaging (MRI) | |
| Egorov et al. | Biomechanical mapping of the female pelvic floor: prolapse versus normal conditions | |
| US20200037950A1 (en) | Methods for biomechanical mapping of the female pelvic floor | |
| Kadah et al. | Is there a difference in pelvic floor muscle tone between women with and without pelvic pain? A systematic review and meta-analysis | |
| CN115530881B (en) | Multi-mode data fusion basin bottom function overall evaluation method and device | |
| Gregory et al. | External anal sphincter volume measurements using 3-dimensional endoanal ultrasound | |
| Kirby et al. | Measurement of dynamic urethral pressures with a high-resolution manometry system in continent and incontinent women | |
| Thorp et al. | Assessment of pelvic floor function: a series of simple tests in nulliparous women | |
| Vassimon et al. | Surface electromyography and ultrasound evaluation of pelvic floor muscles in hyperandrogenic women | |
| Pedofsky et al. | The use of an intra-vaginal pressure sensor device to evaluate changes in intra-vaginal pressure profiles pre and post pelvic organ prolapse surgery | |
| Miller et al. | Test-retest reliability of an instrumented speculum for measuring vaginal closure force No conflict of interest reported by the author (s). Work performed at the University of Michigan School of Nursing and University of Michigan Medical Center. | |
| Cacciari et al. | Pelvic floor biomechanical assessment: current approaches and new evidence |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20220705 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |