CN115553818A - Myocardial biopsy system based on fusion positioning - Google Patents
Myocardial biopsy system based on fusion positioning Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
- A61B8/5238—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for combining image data of patient, e.g. merging several images from different acquisition modes into one image
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/46—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient
- A61B6/461—Displaying means of special interest
- A61B6/463—Displaying means of special interest characterised by displaying multiple images or images and diagnostic data on one display
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5288—Devices using data or image processing specially adapted for radiation diagnosis involving retrospective matching to a physiological signal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/46—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient
- A61B8/461—Displaying means of special interest
- A61B8/463—Displaying means of special interest characterised by displaying multiple images or images and diagnostic data on one display
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5284—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving retrospective matching to a physiological signal
Abstract
The invention provides a myocardial biopsy system based on fusion positioning, and relates to the field of surgical diagnosis and treatment instruments. A myocardial biopsy system comprising: an ultrasonic image acquisition unit, an image processing unit, an image fusion device, a fusion display device and a myocardial biopsy device. The image processing unit is used for dividing a plurality of preoperative ultrasonic images according to the cardiac cycle of the target patient, respectively receiving an image set of each cardiac state in the cardiac cycle, extracting contour features to obtain a ventricular contour image, acquiring a real-time image in real time, and projecting the contour information extracted by the preoperative ultrasonic images to a corresponding contour position in the real-time image according to the cardiac cycle.
Description
Technical Field
The invention relates to the technical field of surgical diagnosis and treatment instruments, in particular to a myocardial biopsy system based on fusion positioning.
Background
Myocardial biopsy is mainly used for the diagnosis of invasive or inflammatory diseases of the myocardium, such as myocardial rejection, diagnosis of cardiac sarcoidosis, cardiac hemochromatosis, cardiac fibroelastosis, and cardiac glycogen accumulation. Some diseases affecting the myocardium by infectivity can be diagnosed unequivocally by biopsy of the myocardium. Taking myocarditis as an example, cardiac biopsy is the most direct and accurate means of determining the cause of inflammation.
The cardiac muscle biopsy can adopt a method of myocardial biopsy through a radial artery, a left ventricle and an endocardium, ultrasonic image acquisition or ventricular radiography is required before the biopsy, and the graph of the ventricle is determined; alternatively, a right ventricular biopsy can be performed by placing a cardiac biopsy forceps through a venous cannula into the jugular vein, subclavian vein, and femoral vein.
During biopsy, the end hole of the biopsy forceps catheter is placed in the ventricular cavity through the guide catheter, but not against the ventricular wall, and the distance between the catheter head and the ventricular wall is preferably 2-3 cm. If too close a distance is likely to result in perforation, too far a distance increases the risk of damage to the mitral chordae tendineae. The endocardium myocardial biopsy forceps are wiped by using heparin saline gauze, a guide tube is fed into the biopsy forceps under the guidance of X rays or ultrasound, the biopsy forceps are fed to the ventricular apex or the ventricular lateral wall, the position of the biopsy forceps is adjusted under fluoroscopy, the biopsy forceps are withdrawn by about 1cm, the jaws are opened, the biopsy forceps are fed forward again, once resistance is sensed, the jaws are closed quickly, and the biopsy forceps are pulled back stably to be separated from the ventricular wall.
However, in the case of ultrasound guidance or X-ray guidance during surgery, since the cardiac region is involved, biopsy sampling must be completed as soon as possible, otherwise problems such as myocardial damage and infection are easily caused, and if the operation is mishandled, intracardiac puncture is easily caused, so that effective image guidance is very important. The existing guidance methods all adopt a direct image guidance method, and the guidance process completely depends on real-time ultrasonic images or X-ray images. Such images are extremely dependent on the physician's immediate view of the ultrasound, and the borders of the ultrasound images are often not clear enough to be error prone in highly stressful situations.
Disclosure of Invention
In view of the above problems, the present invention is directed to a fusion localization-based myocardial biopsy system, comprising: the system comprises an ultrasonic image acquisition device, an image processing unit, an image fusion device, a fusion display device and a cardiac muscle biopsy device, wherein the ultrasonic image acquisition device is used for acquiring or receiving a preoperative ultrasonic image of a target patient and correlating the preoperative ultrasonic image with cardiac cycle data of the target patient acquired by an external ECG detection device; the image processing unit is used for dividing a plurality of preoperative ultrasonic images into image sets in different heartbeat states according to the cardiac cycle of a target patient, and the image processing unit is used for selecting images at the end of the cycle from the image sets in each cardiac state in the cardiac cycle respectively to extract contour features so as to obtain contour images of the left ventricle or the right ventricle at the end of the corresponding cycle; the real-time image acquisition device is also used for intraoperatively acquiring a real-time image of a heart part, and the image fusion device is used for projecting the extracted contour information at the end of the corresponding period to the corresponding contour position in the real-time image in the form of a weak contour line according to the cardiac cycle of the current patient.
Further, an X-ray image acquisition device is also included.
Further, the image fusion device extracts a contour based on the acquired real-time ultrasound image, matches the extracted real-time contour with a pre-extracted contour image, and further determines a mapping relationship between the current ultrasound image and the contour image.
Further, an ECG detection device is used to synchronously acquire the electrocardiogram data of the patient when the image of the patient is acquired so as to determine the cardiac cycle of the patient.
Furthermore, the image processing device is used for intercepting the real-time contour map, matching the intercepted contour of the intracardiac interval part with the pre-extracted contour image of the intracardiac interval part, projecting the pre-extracted contour image to the real-time ultrasonic image by taking the matching result of the intracardiac interval part as a reference, and fusing the real-time ultrasonic image with the pre-extracted contour image.
Further, when the image of the patient is acquired, the ECG detection device is adopted to synchronously acquire the electrocardio data of the patient so as to determine the cardiac cycle of the patient.
Further, the cardiac cycle is divided into two cardiac states, systolic and diastolic.
Contour extraction is based on biopsy forceps insertion location determination, e.g., biopsy of the jugular, subclavian and femoral veins, then right ventricle contour extraction can be performed preoperatively.
The myocardial biopsy system can project the ventricular wall limit positions of different cardiac states, which are accurately acquired in advance, onto a real-time ultrasonic image or an X-ray image, so that a clearer ventricular boundary concept is provided for medical staff, more clear guidance is provided for the medical staff with less skilled service, and the operation risk is effectively controlled.
Drawings
FIG. 1 is a schematic diagram of the architecture of a myocardial biopsy system according to the present invention.
Fig. 2 is a schematic flow chart of the image fusion process performed by the myocardial biopsy system of the present invention.
Fig. 3-6 are schematic diagrams of image fusion performed with the right ventricle as an example, where fig. 3 is the pre-operative ultrasound image at the end of the diastole, fig. 4 is a view of the selected region of interest, where the region of interest is the ventricular septum and the right sidewall, fig. 5 is the region of interest after mask processing, and fig. 6 is an end-of-diastole contour line displayed in the form of a weak outline on the real-time image.
Detailed Description
Example 1
The present embodiments provide a fusion localization based myocardial biopsy system. As shown in fig. 1, the myocardial biopsy system based on fusion localization of the present embodiment includes: an ultrasound image acquisition unit 101, an image processing unit 102, an image fusion device 103, a fusion display device 104, and a myocardial biopsy device, wherein the ultrasound image acquisition unit 101 is used for acquiring or receiving a preoperative ultrasound image of a target patient. During preoperative examination of a patient, an ECG electrocardiographic monitoring device is also used to synchronously acquire electrocardiographic data of the patient to determine the cardiac cycle of the patient. The preoperative ultrasound image processing unit is used for dividing a plurality of preoperative ultrasound images into image sets in different cardiac states according to the cardiac cycle of the target patient. In this embodiment, the description of the cardiac cycle is made by taking two cardiac states of systolic and diastolic phases as an example.
The image processing unit 102 receives the image sets of each cardiac state in the cardiac cycle, and selects the ultrasound images with clear outlines at the end of the cycle to extract the outline features so as to obtain the outline image of the right ventricle. Of course, the method of the present invention may also be applied to a myocardial biopsy procedure of the left ventricle.
In a preferred implementation, the process of contour extraction is as follows:
several, e.g., 3 or 5, images of the end of diastole and several, e.g., 3 or 5, images of the end of systole are called up from the pre-operative ultrasound image set. In one implementation, contours extracted from the end-of-cycle images are averaged to obtain a homogenized contour map of the end-systolic and diastolic phases.
Then, filtering and denoising the image, and smoothing the high-order noise, for example, denoising may be performed by using a P-M model or filtering by using a median filtering denoising algorithm or gaussian filtering.
The Canny operator or the Sobel operator is used for edge detection, the Canny operator can detect more exquisite edge contour information, but the calculation is more complicated, and in the invention, a plurality of detail contours in an image are not important, and the important is the determination of the extreme positions of different cardiac states of the heart wall before the cardiac muscle biopsy, so that the injury and puncture to the cardiac muscle of a patient in the operation are avoided. Therefore, the region of interest in the myocardial contour map can be manually delineated on the basis of manual selection by a physician, and an image of the delineated region is captured. Then, the edge profile is determined based on the image gradient by means of a Sobel operator.
Sobel operator includes a horizontal operator G x And vertical operator G y ：
That is, after the end-of-term image is acquired, the physician performs a rough confirmation of the manual contour, extracts pixels at the corresponding positions based on the positions of the contour defined by the physician, and zeros out the pixel values at the remaining positions using a mask, as shown in fig. 4 and 5.
For each pixel in the non-zero region, extracting the pixel value in the 3 × 3 sub-region with the pixel as the center to form a 3 × 3 matrix, and respectively connecting the matrix with G x And G y Convolution to obtain corresponding convolution result value
And
: the gradient value G and the gradient direction at each pixel are calculated based on the following formula
：
And calculating corresponding gradient values and gradient directions of all pixel points in the selected contour region according to the method, eliminating the condition that the difference between the gradient direction angle and the gradient direction angles of a plurality of adjacent pixels is greater than a threshold value, such as 45 degrees, and replacing the gradient direction angle and the gradient direction angles of the plurality of adjacent pixels by using the average value of the adjacent pixels so as to remove the abrupt burr points.
And fitting the gradient values of the pixels in the contour by using a least square method, determining a maximum gradient curve as the ventricular wall contour of the current cardiac cycle, wherein the line width of the maximum gradient curve is as narrow as possible so as to avoid interference on a subsequent real-time image.
In the same manner, the contour map at the end of systole is extracted again.
In performing a myocardial biopsy, the ultrasound image acquisition device 103 acquires ultrasound images of the patient in real time or at intervals, and the ECG device acquires heartbeat data of the patient in real time and synchronizes the heart cycle to the image fusion device 104.
As shown in fig. 6, the image fusion device 104 projects the contour data extracted in the above steps into the real-time image data according to the cardiac cycle, i.e., projects the end-systolic contour into the real-time image data in the systole, projects the end-diastolic contour into the real-time image data in the diastole, and projects the contour in the form of a weak contour line in the diastole, thereby providing a position reference and avoiding causing large interference to the real-time image.
When the contour projection is performed, anchor points or anchor segments need to be extracted from the real-time ultrasonic image, and a segment or feature points with a clear enough contour on the myocardial wall can be used as the anchor points to perform the alignment of the real-time image and the projected contour. For example, a segment having a gradient value at a ventricular interval that exceeds the average gradient value by 110% is used as an anchor segment, and the projection contour is projected into the real-time image based on the position of the anchor segment.
Taking biopsy through the right internal jugular vein as an example, when in biopsy, the patient takes a puncture from the right jugular vein and inserts a guide wire in the positions of low head and high shoulder. During the insertion of the guide wire, ultrasound image acquisition is performed in real time (or oblique 60-degree X-ray detection is used as an auxiliary), when the guide wire is in place, a biopsy forceps is inserted, ultrasound image and patient ECG cardiac data are acquired in real time at this time, the extracted contour data of the patient is projected into real-time image data according to the cardiac cycle, that is, the end-systolic contour is projected into the real-time image data in the systole, and the end-diastolic contour is projected into the real-time image data in the diastole, so as to perform fusion display, as shown in fig. 6. At the end of each cardiac cycle, the position of the projected contour is matched to the real-time image and the contour is calibrated twice (rotation of the contour based on the angular difference of the matching is necessary), avoiding misalignment of the projected contour due to movement of the ultrasound device. By adopting the mode, clearer boundary warning can be provided for an operator, and myocardial damage or puncture caused by overlarge force is avoided.
It should be noted that although the right ventricle is described above as an example, the method of the present invention can be applied to other ventricles. Moreover, the method can adjust the brightness ratio of the contour display and the real-time ultrasonic display according to the requirement. In addition, the diastolic and systolic contour displays can be extended appropriately according to the usage requirement, i.e. both the end-diastolic contour and the end-systolic contour are displayed at the same time, but this is likely to cause much disturbance to the medical staff.
While the principles of the invention have been described in detail in connection with the preferred embodiments thereof, it will be understood by those skilled in the art that the foregoing embodiments are merely illustrative of exemplary implementations of the invention and are not limiting of the scope of the invention.
Claims (6)
1. A fusion localization-based myocardial biopsy system, comprising: the system comprises an ultrasonic image acquisition device, an image processing unit, an image fusion device and a fusion display device, wherein the ultrasonic image acquisition device is used for acquiring or receiving a preoperative ultrasonic image of a target patient and correlating the preoperative ultrasonic image with cardiac cycle data of the target patient acquired by an external ECG detection device; the image processing unit is used for dividing a plurality of preoperative ultrasonic images into image sets in different cardiac states according to the cardiac cycle of a target patient, and the image processing unit is used for selecting images at the end of the cycle from the image sets in each cardiac state in the cardiac cycle respectively to extract contour features so as to obtain contour images of the left ventricle or the right ventricle at the end of the corresponding cycle; the ultrasonic image acquisition device is also used for intraoperatively acquiring a real-time image of a heart part, and the image fusion device is used for projecting the extracted contour information at the end of the corresponding period to the corresponding contour position in the real-time image in the form of a weak contour line according to the cardiac cycle of the current patient.
2. The fusion localization-based myocardial biopsy system of claim 1, further comprising an X-ray image acquisition device.
3. The fusion localization-based myocardial biopsy system of claim 1, wherein the image fusion device performs contour extraction based on the acquired real-time ultrasound image and matches the extracted real-time contour with a pre-extracted contour image to determine a mapping relationship between the current ultrasound image and the contour image.
4. The fusion localization-based myocardial biopsy system of claim 1, wherein the ECG detection device is used to synchronously acquire the cardiac electrical data of the patient to determine the cardiac cycle of the patient during image acquisition of the patient.
5. The fusion localization-based myocardial biopsy system of claim 3, wherein the image processing device is configured to cut out the real-time contour map, cut out the contour of the intracardiac interval portion to match with the intracardiac interval portion of the pre-extracted contour image, and project the pre-extracted contour image to the real-time ultrasound image based on the matching result of the intracardiac interval portion for fusion with the real-time ultrasound image.
6. The fusion localization-based myocardial biopsy system of claim 2, wherein the cardiac cycle is divided into two cardiac states, a systolic phase and a diastolic phase.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117132577A (en) * | 2023-09-07 | 2023-11-28 | 湖北大学 | Method for non-invasively detecting myocardial tissue tension and vibration |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6246898B1 (en) * | 1995-03-28 | 2001-06-12 | Sonometrics Corporation | Method for carrying out a medical procedure using a three-dimensional tracking and imaging system |
| US20050238216A1 (en) * | 2004-02-09 | 2005-10-27 | Sadato Yoden | Medical image processing apparatus and medical image processing method |
| CN1986015A (en) * | 2005-12-21 | 2007-06-27 | 西门子公司 | Method for accurate in vivo delivery of a therapeutic agent to a target area of an organ |
| WO2011031134A1 (en) * | 2009-09-14 | 2011-03-17 | Erasmus University Medical Center Rotterdam | Image processing method and system |
| CN102196768A (en) * | 2008-10-23 | 2011-09-21 | 皇家飞利浦电子股份有限公司 | Cardiac- and/or respiratory-gated image acquisition system and method for virtual anatomy enriched real-time 2D imaging in interventional radiofrequency ablation or pacemaker placement procedures |
| CN102625669A (en) * | 2009-06-08 | 2012-08-01 | 外科视象设备公司 | MRI-guided interventional systems that can track and generate dynamic visualizations of flexible intrabody devices in near real time |
| CN102999902A (en) * | 2012-11-13 | 2013-03-27 | 上海交通大学医学院附属瑞金医院 | Optical navigation positioning system based on CT (computed tomography) registration results and navigation method thereby |
| US20150025312A1 (en) * | 2011-08-09 | 2015-01-22 | Didier De Canniere | Introductory assembly and method for inserting intracardiac instruments |
| US20170189124A1 (en) * | 2008-07-31 | 2017-07-06 | Medtronic, Inc. | Navigation system for cardiac therapies using gating |
| RU2663495C1 (en) * | 2017-06-26 | 2018-08-06 | Федеральное государственное бюджетное научное учреждение "Томский национальный исследовательский медицинский центр Российской академии наук" (Томский НИМЦ) | Method of selection of patients with acute coronary syndrome for the conduct of the endomyocardial biopsy of myocardium for diagnostics of latent myocarditis |
| CN113012173A (en) * | 2021-04-12 | 2021-06-22 | 中国医学科学院北京协和医院 | Heart segmentation model and pathology classification model training, heart segmentation and pathology classification method and device based on cardiac MRI |
| CN215781012U (en) * | 2021-05-31 | 2022-02-11 | 湖南省人民医院(湖南师范大学附属第一医院) | Novel pace-making electrode device |
| CN115361915A (en) * | 2020-03-26 | 2022-11-18 | 医疗视野Xr有限公司 | Holographic treatment zone modeling and feedback loop for surgery |
-
2022
- 2022-12-05 CN CN202211545696.7A patent/CN115553818B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6246898B1 (en) * | 1995-03-28 | 2001-06-12 | Sonometrics Corporation | Method for carrying out a medical procedure using a three-dimensional tracking and imaging system |
| US20050238216A1 (en) * | 2004-02-09 | 2005-10-27 | Sadato Yoden | Medical image processing apparatus and medical image processing method |
| CN1986015A (en) * | 2005-12-21 | 2007-06-27 | 西门子公司 | Method for accurate in vivo delivery of a therapeutic agent to a target area of an organ |
| US20170189124A1 (en) * | 2008-07-31 | 2017-07-06 | Medtronic, Inc. | Navigation system for cardiac therapies using gating |
| CN102196768A (en) * | 2008-10-23 | 2011-09-21 | 皇家飞利浦电子股份有限公司 | Cardiac- and/or respiratory-gated image acquisition system and method for virtual anatomy enriched real-time 2D imaging in interventional radiofrequency ablation or pacemaker placement procedures |
| CN102625669A (en) * | 2009-06-08 | 2012-08-01 | 外科视象设备公司 | MRI-guided interventional systems that can track and generate dynamic visualizations of flexible intrabody devices in near real time |
| WO2011031134A1 (en) * | 2009-09-14 | 2011-03-17 | Erasmus University Medical Center Rotterdam | Image processing method and system |
| US20150025312A1 (en) * | 2011-08-09 | 2015-01-22 | Didier De Canniere | Introductory assembly and method for inserting intracardiac instruments |
| CN102999902A (en) * | 2012-11-13 | 2013-03-27 | 上海交通大学医学院附属瑞金医院 | Optical navigation positioning system based on CT (computed tomography) registration results and navigation method thereby |
| RU2663495C1 (en) * | 2017-06-26 | 2018-08-06 | Федеральное государственное бюджетное научное учреждение "Томский национальный исследовательский медицинский центр Российской академии наук" (Томский НИМЦ) | Method of selection of patients with acute coronary syndrome for the conduct of the endomyocardial biopsy of myocardium for diagnostics of latent myocarditis |
| CN115361915A (en) * | 2020-03-26 | 2022-11-18 | 医疗视野Xr有限公司 | Holographic treatment zone modeling and feedback loop for surgery |
| CN113012173A (en) * | 2021-04-12 | 2021-06-22 | 中国医学科学院北京协和医院 | Heart segmentation model and pathology classification model training, heart segmentation and pathology classification method and device based on cardiac MRI |
| CN215781012U (en) * | 2021-05-31 | 2022-02-11 | 湖南省人民医院(湖南师范大学附属第一医院) | Novel pace-making electrode device |
Non-Patent Citations (2)
| Title |
|---|
| 吴建国 等: "超声辅助X线定位心内膜心肌活检" * |
| 唐毅 等: "三维左心室应变评估心血管疾病左心室重构价值的进展" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117132577A (en) * | 2023-09-07 | 2023-11-28 | 湖北大学 | Method for non-invasively detecting myocardial tissue tension and vibration |
| CN117132577B (en) * | 2023-09-07 | 2024-02-23 | 湖北大学 | Method for non-invasively detecting myocardial tissue tension and vibration |
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