WO2016045008A1 - 超声扫描图像的存储方法和超声设备 - Google Patents

超声扫描图像的存储方法和超声设备 Download PDF

Info

Publication number
WO2016045008A1
WO2016045008A1 PCT/CN2014/087266 CN2014087266W WO2016045008A1 WO 2016045008 A1 WO2016045008 A1 WO 2016045008A1 CN 2014087266 W CN2014087266 W CN 2014087266W WO 2016045008 A1 WO2016045008 A1 WO 2016045008A1
Authority
WO
WIPO (PCT)
Prior art keywords
frame
similarity
threshold
image
consecutive frames
Prior art date
Application number
PCT/CN2014/087266
Other languages
English (en)
French (fr)
Inventor
杨嘉久
陈冬青
陆银城
毛文岚
哈尔曼梅纳赫姆
Original Assignee
通用电气公司
杨嘉久
陈冬青
陆银城
毛文岚
哈尔曼梅纳赫姆
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 通用电气公司, 杨嘉久, 陈冬青, 陆银城, 毛文岚, 哈尔曼梅纳赫姆 filed Critical 通用电气公司
Priority to CN201480082202.3A priority Critical patent/CN106714695B/zh
Priority to PCT/CN2014/087266 priority patent/WO2016045008A1/zh
Priority to US15/514,000 priority patent/US20170273666A1/en
Publication of WO2016045008A1 publication Critical patent/WO2016045008A1/zh

Links

Images

Classifications

    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/54—Control of the diagnostic device
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04—Analysing solids
    • G01N29/06—Visualisation of the interior, e.g. acoustic microscopy
    • G01N29/0609—Display arrangements, e.g. colour displays
    • G01N29/0618—Display arrangements, e.g. colour displays synchronised with scanning, e.g. in real-time
    • G01N29/0636—Display arrangements, e.g. colour displays synchronised with scanning, e.g. in real-time with permanent recording
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04—Analysing solids
    • G01N29/06—Visualisation of the interior, e.g. acoustic microscopy
    • G01N29/0654—Imaging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/4409—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison
    • G01N29/4436—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison with a reference signal
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/4472—Mathematical theories or simulation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Definitions

  • the present invention relates to a method of storing an ultrasonic scanned image and an ultrasonic device.
  • the ultrasound apparatus generally includes an image acquisition unit that scans a target object (eg, a patient) to obtain an image, a display unit that displays an image of the target object, and a storage unit that stores the obtained image.
  • a target object eg, a patient
  • a display unit that displays an image of the target object
  • a storage unit that stores the obtained image.
  • the operator When the operator operates the ultrasound apparatus to scan the target object, the operator first holds and moves the image acquisition unit (eg, an ultrasound probe) while observing the image displayed on the display unit to determine whether the position of the image acquisition unit is in the sense Interest area.
  • the operator needs to manually operate the ultrasound device, for example, pressing a button on the front panel of the ultrasound device to cause the ultrasound device to begin image storage, or to stop scanning and perform analytical calculations.
  • the operator needs to frequently move the arm to operate the super device, store the image or stop scanning.
  • the image acquisition unit may deviate from the region of interest, causing the operator to perform the positioning of the image acquisition unit again, thus causing the stored image to include an undesired image, for example, an image of a non-interest region.
  • an undesired image for example, an image of a non-interest region.
  • an exemplary embodiment of the present invention provides a method and an ultrasound apparatus that can automatically store an ultrasound scan image.
  • a method of storing an ultrasound scan image may include: calculating a similarity of a frame of an image; determining whether a similarity of the calculated frame is less than a threshold; and when determining that the similarity of the calculated frame is less than a threshold, storing in A frame with a similarity before the frame that is greater than or equal to the threshold.
  • an ultrasound apparatus may include: means for calculating a similarity of a frame of an image; means for determining whether a similarity of the calculated frame is less than a threshold; A means for determining a frame in which the similarity before the frame is greater than or equal to the threshold when the similarity of the calculated frame is less than the threshold.
  • an ultrasound apparatus may include: an image acquisition unit configured to scan a target object to obtain an image; a buffer unit configured to store the obtained image; and a processing unit configured to calculate an image The similarity of the frame; the storage unit, wherein the processing unit stores the frame having the similarity before the frame greater than or equal to the threshold in the storage unit when determining that the similarity of the calculated frame is less than the threshold.
  • FIG. 1 is a schematic flowchart showing a storage method of an ultrasonic scan image according to an exemplary embodiment
  • FIG. 2 is a schematic flowchart showing a procedure of calculating a similarity of a frame, according to an exemplary embodiment
  • FIG. 3 is a schematic flowchart showing steps of storing according to an exemplary embodiment
  • FIG. 4 is a schematic block diagram illustrating an ultrasound apparatus according to an exemplary embodiment.
  • FIG. 1 is a schematic flowchart showing a storage method of an ultrasonic scan image according to an exemplary embodiment.
  • step S100 the similarity of the frames of the ultrasonic scan image can be calculated.
  • an image can be obtained in real time by ultrasonically scanning a target object (for example, a patient). Therefore, the similarity of the current frame can be calculated. That is, the method according to an exemplary embodiment can be performed in real time while performing ultrasonic scanning.
  • FIG. 2 is a schematic flowchart illustrating a step of calculating a similarity of a frame, according to an exemplary embodiment.
  • a frame of an image for example, a current frame (S110) can be read.
  • the read frame is the first frame (S130).
  • whether the read frame is the first frame may be determined according to information (for example, a time stamp) included in the read frame, for example, indicating the time at which the frame is obtained.
  • the similarity with the previous frame of the read frame may be calculated (S150).
  • it is returned to step S110 to continue reading the frame of the image for example, reading the second frame of the image.
  • the similarity of the read frame to the previous frame may be calculated by Equation 1 below:
  • the previous frame comprising M a ⁇ N a pixel
  • the read frame comprising M b ⁇ N b pixels
  • a (u, v) is the gradation value in the previous frame pixel (u, v)
  • B(u+i, v+j) is the gray value of the pixel (u+i, v+j) of the current frame, 0 ⁇ i ⁇ M a +M b -1,0 ⁇ j ⁇ N a +N b -1.
  • the maximum value of C(i,j) calculated by Equation 1 (or the maximum value of the value obtained by normalizing the obtained C(i,j) may be selected as the maximum value)
  • the similarity may be calculated from the mean square error of the read frame and the previous frame.
  • H can be calculated by Equation 2 below.
  • the previous frame and the read frame both include M ⁇ N pixels, A i,j is the gray value of the pixel (i,j) in the previous frame, and B i,j is in the read frame.
  • the similarity may be calculated according to a normalized correlation value between the read frame and the previous frame. That is, the normalized correlation value between the read frame and the previous frame can be used as an indicator for measuring the similarity. Specifically, the similarity can be calculated by Equation 3 below:
  • the previous frame and the read frame both include M ⁇ N pixels, A i,j is the gray value of the pixel (i,j) in the previous frame, and B i,j is in the read frame.
  • the method of calculating the similarity of the frame is not limited thereto, and various calculation methods are described in the Chinese Patent Application No. 20140395924.6, the entire disclosure of which is hereby incorporated by reference.
  • the threshold can be set in advance. For example, different thresholds can be set depending on different parts of the target object.
  • the user can modify the threshold as needed. The greater the similarity, the more similar the frame is to the previous frame. Therefore, a frame whose degree of similarity is smaller than the threshold can be distinguished from the previous frame, and thus it can be determined that the current operator is moving the image acquisition unit (for example, an ultrasound probe) of the ultrasound apparatus with a large amplitude. This means that the operator may be performing a positioning operation of the image acquisition unit.
  • the image acquisition unit for example, an ultrasound probe
  • a frame having a similarity greater than or equal to the threshold may be distinguished from the previous frame, and thus it may be determined that the current operator is stationary scanning or moving the image acquisition unit of the ultrasound device with a small amplitude (eg, an ultrasound probe) ). This means that the operator may be scanning the region of interest of the target object. In other words, it can be determined from the information of the similarity of the frames of the ultrasonic scanned image whether the ultrasonic scanning operation of the frame is the image acquiring unit positioning operation or the region of interest scanning operation.
  • a frame having a similarity greater than or equal to a threshold may be referred to as a stable frame.
  • the stable frame whose degree of similarity before the frame is greater than or equal to the threshold may be stored (S500).
  • the similarity of the frame is greater than or equal to the threshold (S300: No)
  • it may return to step S100 to calculate another frame of the image.
  • the similarity of for example, the next frame).
  • FIG. 3 is a schematic flowchart showing steps of storing according to an exemplary embodiment.
  • a preset value can be set in advance. For example, different preset values may be set according to different parts of the target object and/or operating habits of the operator.
  • a preset value S510: YES
  • Frame S530
  • the consecutive stable frames can be stored as a video file. Further, a representative frame may be selected and stored in the consecutive frames (S550).
  • the representative frame can be selected automatically or manually.
  • the representative frame may be the last frame (or first frame) of the consecutive frames, or a frame capable of representing a portion of the target object displayed by the consecutive frames, for example, the representative frame may be shown The frame of the most blood flow area.
  • step S510: NO when it is determined that at least one of the number of consecutive stable frames and the length of time is less than or equal to a preset value (S510: NO), it may indicate that the operator may be distinguishing whether the region being scanned is the region of interest at the time. And therefore may not be stored and return to step S100.
  • the ultrasonic scanning operation at the time of obtaining the frame is an image acquiring unit positioning operation or a region of interest scanning operation according to information of the similarity degree of the frame of the ultrasonic scanned image, and may not require manual operation.
  • the image of the region of interest is automatically stored in the case, thereby simplifying the ultrasonic scanning operation and shortening the time of the ultrasonic scanning.
  • FIG. 4 is a schematic block diagram illustrating an ultrasound apparatus according to an exemplary embodiment.
  • the ultrasonic device according to the current exemplary embodiment may perform the method described above with reference to FIGS. 1 through 3, and thus, repeated descriptions of the same or similar elements or features will be omitted.
  • an ultrasound apparatus may include an image acquisition unit 100, a cache unit 300, a processing unit 500, and a storage unit 700.
  • the image acquisition unit 100 may scan the target object to obtain an image.
  • the image acquisition unit 100 may include an ultrasound probe for performing scanning and an image processor or the like that processes signals obtained by the ultrasound probe to obtain an image.
  • the cache unit 300 can store, for example, an image obtained by the image acquisition unit 100 in real time.
  • cache unit 300 can include volatile memory.
  • Processing unit 500 can calculate the similarity of the frames of the image. For example, processing unit 500 can read a frame of an image from cache unit 300 and can determine if the read frame is the first frame. Here, whether the read frame is the first frame may be determined according to information (for example, a time stamp) included in the read frame, for example, indicating the time at which the frame is obtained. When it is determined that the read frame is not the first frame, the processing unit 500 can calculate the similarity of the read frame to the previous frame.
  • information for example, a time stamp
  • the processing unit 500 may calculate the similarity of the read frame to the previous frame by any one of the above Equations 1 to 3 or other algorithms.
  • the processing unit 500 may store the calculated similarity in the cache unit 300 after the similarity is calculated.
  • the processing unit 500 may store the similarity of each frame other than the first frame in the cache unit 300 in the form of a lookup table.
  • Processing unit 500 may determine whether the similarity of the calculated frames is less than a threshold.
  • the threshold can be set in advance. For example, different thresholds can be set depending on different parts of the target object.
  • the user can modify the threshold as needed. The greater the similarity, the more similar the frame is to the previous frame. Therefore, a frame whose degree of similarity is smaller than the threshold can be distinguished from the previous frame, and thus it can be determined that the current operator is moving the image acquisition unit (for example, an ultrasound probe) of the ultrasound apparatus with a large amplitude. This means that the operator may be performing a positioning operation of the image acquisition unit.
  • the image acquisition unit for example, an ultrasound probe
  • a frame having a similarity greater than or equal to the threshold may be distinguished from the previous frame, and thus it may be determined that the current operator is stationary scanning or moving the image acquisition unit of the ultrasound device with a small amplitude (eg, an ultrasound probe) ). This means that the operator may be scanning the region of interest of the target object. In other words, it can be determined from the information of the similarity of the frames of the ultrasonic scanned image whether the ultrasonic scanning operation of the frame is the image acquiring unit positioning operation or the region of interest scanning operation.
  • a frame having a similarity greater than or equal to a threshold may be referred to as a stable frame.
  • the processing unit 500 may store the stable frame having the similarity before the frame greater than or equal to the threshold in the storage unit 700.
  • the storage unit 700 may include a nonvolatile memory such as a flash memory, a hard disk drive, a solid state disk, an optical disk, or the like.
  • the ultrasound apparatus may further include a notification unit.
  • the notification unit may issue a notification to the user when the processing unit stores the consecutive frames in the storage unit.
  • the notification unit may display information including text, images, and the like on a display of the ultrasound apparatus for displaying the scanned image, and/or may provide audio information to notify the user (eg, an operator) that an automatic storage operation is in progress.
  • the processing unit 500 may determine whether at least one of the number and length of consecutive stable frames before the frame having the similarity less than the threshold is greater than a preset value.
  • the preset value can be set in advance. For example, different preset values may be set according to different parts of the target object and/or operating habits of the operator.
  • processing unit 500 determines that at least one of the number and duration of consecutive stable frames is greater than a preset value, it may indicate that the operator may be scanning the region of interest at the time. Accordingly, processing unit 500 can store the consecutive stable frames into storage unit 700. For example, processing unit 500 can store the consecutive stable frames as a video file.
  • processing unit 500 may also select a representative frame in the consecutive frames and store the representative frame in the storage unit 700.
  • Processing unit 500 can automatically select a representative frame.
  • the representative frame may be the last frame (or first frame) of the consecutive frames, or a frame capable of representing a portion of the target object displayed by the consecutive frames, for example, the representative frame may be shown The frame of the most blood flow area.
  • the ultrasound device may also include an analysis unit 900, as shown in FIG.
  • Analysis unit 900 can analyze the stored consecutive stable frames.
  • the analysis unit 900 can perform various analysis operations according to an operator's preset, for example, the analysis unit 900 can identify various parts of the target object shown in the stable frame, or can calculate a change trend of the stable frame or the like.
  • the analyzing unit 900 may select whether to store the stored consecutive stable frames from the cache unit 300 according to the result of the analysis. In this way, the storage space of the cache unit 300 can be released to optimize the use efficiency of the cache unit 300. For example, the analysis unit 900 may discard the stored consecutive stable frames from the cache unit 300 when it is determined that the result of the analysis cannot reach the operator's predetermined expectations. On the other hand, when it is determined that the result of the analysis can reach the operator's preset expectations, the analysis unit 900 can hold the stored consecutive stable frames in the cache unit 300, and/or can stop the scan operation for operation. When manually analyzing the stored consecutive stable frames, the stored consecutive stable frames can be directly read from the buffer unit 300, so that analysis can be immediately performed. In this way, the efficiency of the analysis operation can be improved.
  • analysis unit 900 and the processing unit 500 are illustrated as separate elements in FIG. 4, the exemplary embodiments are not limited thereto, and for example, the analysis unit 900 and the processing unit 500 may be implemented as a single element, for example, a microprocessor. , central processing unit (CPU), etc.
  • CPU central processing unit
  • the ultrasound apparatus may identify an ultrasound scanning operation when the frame is obtained according to information of a similarity of frames of the ultrasound scan image, and may be self-contained without manual operation.
  • the image of the region of interest is dynamically stored, thereby simplifying the ultrasonic scanning operation and shortening the time of the ultrasonic scanning.
  • the ultrasound device can also automatically release the storage space of the cache unit, thereby optimizing the use efficiency of the cache unit.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Chemical & Material Sciences (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Signal Processing (AREA)
  • Acoustics & Sound (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Algebra (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

一种超声扫描图像的存储方法和超声设备，所述超声设备包括：图像获取单元（100），被构造为对目标对象进行扫描以得到图像；缓存单元（300），被构造为存储得到的图像；处理单元（500），被构造为计算图像的帧的相似度；存储单元（700），其中，处理单元（500）在确定计算的帧的相似度小于阈值时，将在该帧之前的相似度大于或等于阈值的帧存储在存储单元（700）中。因此，可以根据超声扫描图像的帧的相似度的信息自动地存储图像。

Description

超声扫描图像的存储方法和超声设备 技术领域
本发明涉及一种超声扫描图像的存储方法和超声设备。
背景技术
超声设备通常包括通过对目标对象(例如，病人)进行扫描以得到图像的图像获取单元、显示目标对象的图像的显示单元、以及存储得到的图像的存储单元。
当操作者操作超声设备对目标对象进行扫描时，操作者首先持握并移动图像获取单元(例如，超声探头)，同时观察在显示单元上显示的图像，以确定图像获取单元的位置是否处于感兴趣区域处。当确定图像获取单元处于感兴趣区域处时，操作者需要手动操作超声设备，例如，按压超声设备的前面板上的按键，以使超声设备开始进行图像存储，或者停止扫查并进行分析计算。在一个病人的检查中，操作者需要频繁的移动手臂操作超生设备、存贮图像或者停止扫查。这样降低了效率，且图像获取单元可能偏离感兴趣区域，导致操作者需要再次进行图像获取单元的定位，因而使存储的图像中包括了不期望的图像，例如，非感兴趣区域的图像。尤其在引导穿刺时，因为操作者双手都在使用中，所以需要其他人的操作才能完成这些动作。
发明内容
本发明的示例性实施例的目的在于克服现有技术中的上述的和/或其他的问题。因此，本发明的示例性实施例提供了一种可以自动地存储超声扫描图像的方法和超声设备。
根据示例性实施例，一种超声扫描图像的存储方法可以包括：计算图像的帧的相似度；确定计算的帧的相似度是否小于阈值；当确定计算的帧的相似度小于阈值时，存储在该帧之前的相似度大于或等于阈值的帧。
根据另一个示例性实施例，一种超声设备可以包括：用于计算图像的帧的相似度的装置；用于确定计算的帧的相似度是否小于阈值的装置；用于当 确定计算的帧的相似度小于阈值时存储在该帧之前的相似度大于或等于阈值的帧的装置。
根据另一个示例性实施例，一种超声设备可以包括：图像获取单元，被构造为对目标对象进行扫描以得到图像；缓存单元，被构造为存储得到的图像；处理单元，被构造为计算图像的帧的相似度；存储单元，其中，处理单元在确定计算的帧的相似度小于阈值时，将在该帧之前的相似度大于或等于阈值的帧存储在存储单元中。
通过下面的详细描述、附图以及权利要求，其他特征和方面会变得清楚。
附图说明
通过结合附图对于本发明的示例性实施例进行描述，可以更好地理解本发明，在附图中：
图1是示出根据示例性实施例的超声扫描图像的存储方法的示意性流程图；
图2是示出根据示例性实施例的计算帧的相似度的步骤的示意性流程图；
图3是示出根据示例性实施例的存储的步骤的示意性流程图；
图4是示出根据示例性实施例的超声设备的示意性框图。
具体实施方式
以下将描述本发明的具体实施方式，需要指出的是，在这些实施方式的具体描述过程中，为了进行简明扼要的描述，本说明书不可能对实际的实施方式的所有特征均作详尽的描述。应当可以理解的是，在任意一种实施方式的实际实施过程中，正如在任意一个工程项目或者设计项目的过程中，为了实现开发者的具体目标，为了满足系统相关的或者商业相关的限制，常常会做出各种各样的具体决策，而这也会从一种实施方式到另一种实施方式之间发生改变。此外，还可以理解的是，虽然这种开发过程中所作出的努力可能是复杂并且冗长的，然而对于与本发明公开的内容相关的本领域的普通技术人员而言，在本公开揭露的技术内容的基础上进行的一些设计，制造或者生产等变更只是常规的技术手段，不应当理解为本公开的内容不充分。
除非另作定义，权利要求书和说明书中使用的技术术语或者科学术语应当为本发明所属技术领域内具有一般技能的人士所理解的通常意义。本发明 专利申请说明书以及权利要求书中使用的“第一”、“第二”以及类似的词语并不表示任何顺序、数量或者重要性，而只是用来区分不同的组成部分。“一个”或者“一”等类似词语并不表示数量限制，而是表示存在至少一个。“包括”或者“包含”等类似的词语意指出现在“包括”或者“包含”前面的元件或者物件涵盖出现在“包括”或者“包含”后面列举的元件或者物件及其等同元件，并不排除其他元件或者物件。“连接”或者“相连”等类似的词语并非限定于物理的或者机械的连接，也不限于是直接的还是间接的连接。
图1是示出根据示例性实施例的超声扫描图像的存储方法的示意性流程图。
如图1中所示，首先，在步骤S100，可以计算超声扫描图像的帧的相似度。这里，可以通过对目标对象(例如，病人)进行超声扫描而实时地得到图像。因此，可以计算当前帧的相似度。即，可以在进行超声扫描的同时实时执行根据示例性实施例的方法。
图2是示出根据示例性实施例的计算帧的相似度的步骤的示意性流程图。
如图2中所示，首先，可以读取图像的帧，例如，当前帧(S110)。然后，可以确定读取的帧是否为第一帧(S130)。这里，可以根据读取的帧中包括的的例如表示得到该帧的时刻的信息(例如，时间戳)来确定读取的帧是否为第一帧。当确定读取的帧不是第一帧(S130：否)时，可以计算读取的帧的与前一帧的相似度(S150)。相反当确定读取的帧是第一帧(S130：是)时，则可以返回步骤S110，继续读取图像的帧，例如，读取图像的第二帧。
根据一个示例性实施例，可以通过下面的式1来计算读取的帧的与前一帧的相似度：
Figure PCTCN2014087266-appb-000001
其中，前一帧包括Ma×Na个像素，读取的帧包括Mb×Nb个像素，A(u，v)为前一帧中的像素(u，v)的灰度值，B(u+i，v+j)为当前帧的像素(u+i，v+j)的灰度值，0≤i≤Ma+Mb-1，0≤j≤Na+Nb-1。在这样的情况下，可以选择通过式1计算得到的C(i，j)中的最大值(或者选择对得到的C(i，j)进行归一化而得到的值中的最大值)作为前一帧图像和读取的帧的相似度。
根据另一个示例性实施例，可以根据读取的帧与前一帧的均方差来计算相似度。具体来说，可以通过如下面的式2来计算H。
Figure PCTCN2014087266-appb-000002
其中，前一帧与读取的帧均包括M×N个像素，Ai，j为前一帧中的像素(i，j)的灰度值，Bi，j为读取的帧中的像素(i，j)的灰度值，1≤i≤M，1≤j≤N。
根据又一个示例性实施例，可以根据根据读取的帧与前一帧的之间的归一化相关值来计算相似度。即，可以采用读取的帧与前一帧之间的归一化相关值来作为衡量相似度大小的指标。具体来说，可以通过下面的式3来计算相似度：
Figure PCTCN2014087266-appb-000003
其中，前一帧与读取的帧均包括M×N个像素，Ai，j为前一帧中的像素(i，j)的灰度值，Bi，j为读取的帧中的像素(i，j)的灰度值，1≤i≤M，1≤j≤N，
Figure PCTCN2014087266-appb-000004
分别是前一帧和读取的帧的像素的平均灰度值。
采用归一化相关值来衡量相似度的好处在于可以不受图像灰度值的线性变换的影响。
然而，计算帧的相似度的方法不限于此，在第201410395924.6号中国专利申请中记载了多种计算方法，这里，将该专利申请通过引用全部包含于此。
返回参照图1，当计算了帧的相似度之后，可以确定计算的相似度是否小于阈值(S300)。这里，可以预先设定阈值。例如，可以根据目标对象的不同的部位设置不同的阈值。此外，用户可以根据需要对阈值进行修改。相似度越大，该帧与前一帧越相似。因此，相似度小于阈值的帧可以与前一帧区别较大，并因此可以确定当前操作者正在以较大的幅度移动超声设备的图像获取单元(例如，超声探头)。这意味着操作者可能正在进行图像获取单元的定位操作。另一方面，相似度大于或等于阈值的帧可以与前一帧区别不大，并因此可以确定当前操作者正在静止扫查或以较小的幅度移动超声设备的图像获取单元(例如，超声探头)。这意味着操作者可能正在对目标对象的感兴趣区域进行扫描。换句话说，可以根据超声扫描图像的帧的相似度的信息来判断得到该帧的超声扫描操作是图像获取单元定位操作还是感兴趣区域扫描操作。在下文中，可以将相似度大于或等于阈值的帧称为稳定帧。
因此，当确定计算的帧的相似度小于阈值(S300：是)时，可以存储在该帧之前的相似度大于或等于阈值的稳定帧(S500)。另一方面，当确定计算 的帧的相似度大于或等于阈值(S300：否)时，或者当该帧之前的帧中不存在相似度大于或等于阈值的稳定帧时，可以返回到步骤S100，以计算图像的另一帧(例如，下一帧)的相似度。
图3是示出根据示例性实施例的存储的步骤的示意性流程图。
如图3中所示，首先，可以确定在相似度小于阈值的帧之前的连续的稳定帧的数量和/或时间是否大于预设值(S510)。这里，可以预先设定预设值。例如，可以根据目标对象的不同的部位和/或操作者的操作习惯来设置不同的预设值。当确定连续的稳定帧的数量和时间长度中的至少一种大于预设值(S510：是)时，可以表示操作者当时可能是在对感兴趣区域进行扫描，因此可以存储所述连续的稳定帧(S530)。例如，可以将所述连续的稳定帧存储为视频文件。此外，还可以在所述连续的帧中选择并存储代表帧(S550)。可以自动或手动地选择代表帧。例如，代表帧可以为所述连续的帧中的最后一帧(或第一帧)，或者能够代表所述连续的帧所显示的目标对象的部位的帧，例如，代表帧可以是示出了最多的血流区域的帧。
另一方面，当确定连续的稳定帧的数量和时间长度中的至少一种小于或等于预设值(S510：否)时，可以表示操作者当时可能正在分辨正在扫描的区域是否为感兴趣区域，并因此可以不进行存储并返回步骤S100。
因此，根据示例性实施例，可以根据超声扫描图像的帧的相似度的信息来判断得到该帧时的超声扫描操作是图像获取单元定位操作还是感兴趣区域扫描操作，并可以在不需要手动操作的情况下自动地存储感兴趣区域的图像，从而简化了超声扫描操作，缩短了超声扫描的时间。
图4是示出根据示例性实施例的超声设备的示意性框图。根据当前示例性实施例的超声设备可以执行上面参照图1至图3所描述的方法，因此，将省略对于相同或相似的元件或特征的重复描述。
如图4中所示，根据示例性实施例的超声设备可以包括图像获取单元100、缓存单元300、处理单元500、存储单元700。
图像获取单元100可以对目标对象进行扫描以得到图像。例如，图像获取单元100可以包括用于进行扫描的的超声探头以及对超声探头得到的信号进行处理以得到图像的图像处理器等。
缓存单元300可以存储，例如，可以实时地存储由图像获取单元100得到的图像。例如，缓存单元300可以包括易失性存储器。
处理单元500可以计算图像的帧的相似度。例如，处理单元500可以从缓存单元300读取图像的帧，并可以确定读取的帧是否是第一帧。这里，可以根据读取的帧中包括的的例如表示得到该帧的时刻的信息(例如，时间戳)来确定读取的帧是否为第一帧。当确定读取的帧不是第一帧时，处理单元500可以计算读取的帧的与前一帧的相似度。
根据当前的示例性实施例，处理单元500可以通过上面的式1至式3中的任意一种或其他的算法来计算读取的帧的与前一帧的相似度。
可选择地，处理单元500可以在计算了相似度之后，将计算的相似度存储在缓存单元300中。例如，处理单元500可以以查找表的形式将除了第一帧之外的各个帧的相似度存储在缓存单元300中。
处理单元500可以确定计算的帧的相似度是否小于阈值。这里，可以预先设定阈值。例如，可以根据目标对象的不同的部位设置不同的阈值。此外，用户可以根据需要对阈值进行修改。相似度越大，该帧与前一帧越相似。因此，相似度小于阈值的帧可以与前一帧区别较大，并因此可以确定当前操作者正在以较大的幅度移动超声设备的图像获取单元(例如，超声探头)。这意味着操作者可能正在进行图像获取单元的定位操作。另一方面，相似度大于或等于阈值的帧可以与前一帧区别不大，并因此可以确定当前操作者正在静止扫查或以较小的幅度移动超声设备的图像获取单元(例如，超声探头)。这意味着操作者可能正在对目标对象的感兴趣区域进行扫描。换句话说，可以根据超声扫描图像的帧的相似度的信息来判断得到该帧的超声扫描操作是图像获取单元定位操作还是感兴趣区域扫描操作。在下文中，可以将相似度大于或等于阈值的帧称为稳定帧。
当确定计算的帧的相似度小于阈值时，处理单元500可以将在该帧之前的相似度大于或等于阈值的稳定帧存储在存储单元700中。这里，存储单元700可以包括非易失性存储器，例如，闪速存储器、硬盘驱动器、固态盘、光盘等。
虽然在图中没有示出，但是超声设备还可以包括通知单元。通知单元可以在处理单元将所述连续的帧存储到存储单元中时向用户发出通知。例如，通知单元可以在超声设备的用于显示扫描图像的显示器上显示包括文本、图像等信息，和/或可以提供音频信息，以通知用户(例如，操作者)正在进行自动存储操作。
在一个示例性实施例中，处理单元500可以确定相似度小于阈值的帧之前的连续的稳定帧的数量和时间长度中的至少一种是否大于预设值。这里，可以预先设定预设值。例如，可以根据目标对象的不同的部位和/或操作者的操作习惯来设置不同的预设值。当处理单元500确定连续的稳定帧的数量和时间长度中的至少一种大于预设值时，可以表示操作者当时可能是在对感兴趣区域进行扫描。因此，处理单元500可以将所述连续的稳定帧存储到存储单元700中。例如，处理单元500可以将所述连续的稳定帧存储为视频文件。此外，处理单元500还可以在所述连续的帧中选择代表帧，并将代表帧存储在存储单元700中。处理单元500可以自动地选择代表帧。例如，代表帧可以为所述连续的帧中的最后一帧(或第一帧)，或者能够代表所述连续的帧所显示的目标对象的部位的帧，例如，代表帧可以是示出了最多的血流区域的帧。
在可选的示例性实施例中，超声设备还可以包括分析单元900，如图4中所示。分析单元900可以对存储的连续的稳定帧进行分析。分析单元900可以根据操作者的预先设定来进行各种分析操作，例如，分析单元900可以识别稳定帧中示出的目标对象的各个部位，或者可以计算稳定帧的变化趋势等。
此外，分析单元900可以根据分析的结果来选择是否将存储的连续的稳定帧从缓存单元300丢弃。这样，可以释放缓存单元300的存储空间，以优化缓存单元300的使用效率。例如，当确定分析的结果不能达到操作者预先设定的期望时，分析单元900可以将存储的连续的稳定帧从缓存单元300丢弃。另一方面，当确定分析的结果可以达到操作者预先设定的期望时，分析单元900可以将存储的连续的稳定帧保持在缓存单元300中，和/或可以停止扫查操作，以便在操作者对存储的连续的稳定帧进行手动分析时能够直接从缓存单元300读取存储的连续的稳定帧，从而可以允许立即对其进行分析。这样，可以提高分析操作的效率。
虽然在图4中将分析单元900和处理单元500示出为分开的元件，但是示例性实施例不限于此，例如，分析单元900和处理单元500可以被实施为单个元件，例如，微处理器、中央处理单元(CPU)等。
根据示例性实施例，超声设备可以根据超声扫描图像的帧的相似度的信息来识别得到该帧时的超声扫描操作，并可以在不需要手动操作的情况下自 动地存储感兴趣区域的图像，从而简化了超声扫描操作，缩短了超声扫描的时间。此外，超声设备还可以自动选择性地释放缓存单元的存储空间，从而优化了缓存单元的使用效率。
上面已经描述了一些示例性实施例。然而，应该理解的是，可以做出各种修改。例如，如果所描述的技术以不同的顺序执行和/或如果所描述的系统、架构、设备或电路中的组件以不同方式被组合和/或被另外的组件或其等同物替代或补充，则可以实现合适的结果。相应地，其他实施方式也落入权利要求的保护范围内。

Claims (19)

  1. 一种超声扫描图像的存储方法，其特征在于，所述方法包括：
    计算图像的帧的相似度；
    确定计算的帧的相似度是否小于阈值；
    当确定计算的帧的相似度小于阈值时，存储在该帧之前的相似度大于或等于阈值的帧。
  2. 如权利要求1所述的方法，其特征在于，计算帧的相似度的步骤包括：
    读取图像的帧；
    确定读取的帧是否为第一帧；
    当确定读取的帧不是第一帧时，计算读取的帧的与前一帧的相似度。
  3. 如权利要求1所述的方法，其特征在于，存储的步骤包括：
    确定在相似度小于阈值的帧之前的相似度大于或等于阈值的连续的帧的数量和时间长度中的至少一种是否大于预设值；
    当确定所述连续的帧的数量和时间长度中的至少一种大于预设值时，存储所述连续的帧。
  4. 如权利要求3所述的方法，其特征在于，存储所述连续的帧的步骤包括：
    将所述连续的帧存储为视频。
  5. 如权利要求4所述的方法，其特征在于，存储所述连续的帧的步骤还包括：
    在所述连续的帧中选择代表帧；
    存储选择的代表帧。
  6. 一种超声设备，其特征在于，所述超声设备包括：
    用于计算图像的帧的相似度的装置；
    用于确定计算的帧的相似度是否小于阈值的装置；
    用于当确定计算的帧的相似度小于阈值时存储在该帧之前的相似度大于或等于阈值的帧的装置。
  7. 如权利要求6所述的超声设备，其特征在于，用于计算图像的帧的相似度的装置包括：
    用于读取图像的帧的装置；
    用于确定读取的帧是否为第一帧的装置；
    用于当确定读取的帧不是第一帧时计算读取的帧的与前一帧的相似度的装置。
  8. 如权利要求6所述的超声设备，其特征在于，用于存储的装置包括：
    用于确定在相似度小于阈值的帧之前的相似度大于或等于阈值的连续的帧的数量和时间长度中的至少一种是否大于预设值的装置；
    用于在确定所述连续的帧的数量和时间长度中的至少一种大于预设值时存储所述连续的帧的装置。
  9. 如权利要求8所述的超声设备，其特征在于，用于存储所述连续的帧的装置包括：
    用于将所述连续的帧存储为视频的装置。
  10. 如权利要求9所述的超声设备，其特征在于，用于所述存储连续的帧的装置包括还包括：
    用于在所述连续的帧中选择代表帧的装置；
    用于存储选择的代表帧的装置。
  11. 一种超声设备，其特征在于，所述超声设备包括：
    图像获取单元，被构造为对目标对象进行扫描以得到图像；
    缓存单元，被构造为存储得到的图像；
    处理单元，被构造为计算图像的帧的相似度；
    存储单元，其中，处理单元在确定计算的帧的相似度小于阈值时，将在该帧之前的相似度大于或等于阈值的帧存储在存储单元中。
  12. 如权利要求11所述的超声设备，其特征在于，处理单元被构造为从缓存单元读取图像的帧，并在确定读取的帧不是第一帧时，计算读取的帧的与前一帧的相似度。
  13. 如权利要求12所述的超声设备，其特征在于，处理单元被进一步构造为将计算的相似度存储在缓存单元中。
  14. 如权利要求12所述的超声设备，其特征在于，处理单元被进一步构造为在确定相似度小于阈值的帧之前的相似度大于或等于阈值的连续的帧的数量和时间长度中的至少一种大于预设值时，将所述连续的帧存储到存储单元中。
  15. 如权利要求14所述的超声设备，其特征在于，处理单元被进一步构 造为在处理单元确定相似度小于阈值的帧之前的相似度大于或等于阈值的连续的帧的数量和时间长度中的至少一种小于或等于预设值时，将所述连续的帧从缓存单元丢弃。
  16. 如权利要求14所述的超声设备，其特征在于，所述超声设备还包括：
    通知单元，被构造为在处理单元将所述连续的帧存储到存储单元中时向用户发出通知。
  17. 如权利要求14所述的超声设备，其特征在于，处理单元被构造为将所述连续的帧存储为视频。
  18. 如权利要求17所述的超声设备，其特征在于，处理单元被进一步构造为在所述连续的帧中选择代表帧，并将选择的代表帧存储在存储单元中。
  19. 如权利要求11所述的超声设备，其特征在于，超声设备还包括：
    分析单元，被构造为对存储的连续的帧进行分析，并根据分析结果将存储的连续的帧保持在缓存单元中并停止扫查。
PCT/CN2014/087266 2014-09-24 2014-09-24 超声扫描图像的存储方法和超声设备 WO2016045008A1 (zh)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN201480082202.3A CN106714695B (zh) 2014-09-24 2014-09-24 超声扫描图像的存储方法和超声设备
PCT/CN2014/087266 WO2016045008A1 (zh) 2014-09-24 2014-09-24 超声扫描图像的存储方法和超声设备
US15/514,000 US20170273666A1 (en) 2014-09-24 2014-09-24 Method for storing ultrasonic scan image and ultrasonic device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2014/087266 WO2016045008A1 (zh) 2014-09-24 2014-09-24 超声扫描图像的存储方法和超声设备

Publications (1)

Publication Number Publication Date
WO2016045008A1 true WO2016045008A1 (zh) 2016-03-31

Family

ID=55580056

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2014/087266 WO2016045008A1 (zh) 2014-09-24 2014-09-24 超声扫描图像的存储方法和超声设备

Country Status (3)

Country Link
US (1) US20170273666A1 (zh)
CN (1) CN106714695B (zh)
WO (1) WO2016045008A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109030499A (zh) * 2018-07-27 2018-12-18 江苏理工学院 一种适用于目标缺陷连续在线检测防止缺陷数目重复计数的装置及方法

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001286469A (ja) * 2000-04-07 2001-10-16 Ge Yokogawa Medical Systems Ltd 超音波診断装置
CN1768710A (zh) * 2004-10-19 2006-05-10 株式会社东芝 超声波诊断装置
CN1977771A (zh) * 2005-12-07 2007-06-13 深圳迈瑞生物医疗电子股份有限公司 保护超声诊断仪的方法
CN101522107A (zh) * 2006-10-10 2009-09-02 株式会社日立医药 医用图像诊断装置、医用图像测量方法、医用图像测量程序
CN101854537A (zh) * 2009-03-31 2010-10-06 深圳迈瑞生物医疗电子股份有限公司 一种超声图像数据优化及其造影定量分析方法和系统
WO2014081006A1 (ja) * 2012-11-22 2014-05-30 株式会社 東芝 超音波診断装置、画像処理装置および画像処理方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2735866B2 (ja) * 1989-03-22 1998-04-02 日本放送協会 データベースのデータ検索方法
JP2914170B2 (ja) * 1994-04-18 1999-06-28 松下電器産業株式会社 映像変化点検出方法
KR100295610B1 (ko) * 1999-11-09 2001-07-12 장영규 동영상 편집 시스템 및 이를 이용한 객체 정보 서비스 방법
US6597934B1 (en) * 2000-11-06 2003-07-22 Inspektor Research Systems B.V. Diagnostic image capture
JP5121367B2 (ja) * 2007-09-25 2013-01-16 株式会社東芝 映像を出力する装置、方法およびシステム
JPWO2011010626A1 (ja) * 2009-07-24 2012-12-27 株式会社日立メディコ 超音波診断装置、弾性画像の保存／再生方法、及び弾性画像の保存／再生プログラム

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001286469A (ja) * 2000-04-07 2001-10-16 Ge Yokogawa Medical Systems Ltd 超音波診断装置
CN1768710A (zh) * 2004-10-19 2006-05-10 株式会社东芝 超声波诊断装置
CN1977771A (zh) * 2005-12-07 2007-06-13 深圳迈瑞生物医疗电子股份有限公司 保护超声诊断仪的方法
CN101522107A (zh) * 2006-10-10 2009-09-02 株式会社日立医药 医用图像诊断装置、医用图像测量方法、医用图像测量程序
CN101854537A (zh) * 2009-03-31 2010-10-06 深圳迈瑞生物医疗电子股份有限公司 一种超声图像数据优化及其造影定量分析方法和系统
WO2014081006A1 (ja) * 2012-11-22 2014-05-30 株式会社 東芝 超音波診断装置、画像処理装置および画像処理方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109030499A (zh) * 2018-07-27 2018-12-18 江苏理工学院 一种适用于目标缺陷连续在线检测防止缺陷数目重复计数的装置及方法

Also Published As

Publication number Publication date
CN106714695A (zh) 2017-05-24
CN106714695B (zh) 2020-12-08
US20170273666A1 (en) 2017-09-28

Similar Documents

Publication Publication Date Title
Massey et al. A guide to human in vivo microcirculatory flow image analysis
US11100645B2 (en) Computer-aided diagnosis apparatus and computer-aided diagnosis method
US8199813B2 (en) Method for embedding frames of high quality image data in a streaming video
US11074732B2 (en) Computer-aided diagnostic apparatus and method based on diagnostic intention of user
KR102472336B1 (ko) 이미지 선택기를 갖는 초음파 이미징 기구
US11284855B2 (en) Ultrasound needle positioning system and ultrasound needle positioning method utilizing convolutional neural networks
WO2018078724A1 (ja) 内視鏡画像処理装置及び内視鏡画像処理方法
WO2016045008A1 (zh) 超声扫描图像的存储方法和超声设备
CN112786163B (zh) 一种超声图像处理显示方法、系统及存储介质
JP7253152B2 (ja) 情報処理装置、情報処理方法、及びプログラム
JP5961512B2 (ja) 画像処理装置およびその作動方法並びに画像処理プログラム
EP3653129B1 (en) Ultrasound imaging apparatus and operating method thereof
US20220148172A1 (en) System and method for detecting medical conditions
JP6186663B2 (ja) 指先血管観測方法、観測装置、観測サーバ、観測システム及び観測プログラム
Ouyang et al. Interpretable AI for beat-to-beat cardiac function assessment
WO2021169070A1 (zh) 一种腔内影像辅助测量方法、装置、设备及可读存储介质
JP2008173213A (ja) 医用画像診断支援装置
US9483833B2 (en) Real-time, interactive image analysis
CN109493396B (zh) 一种ct图像显示方法、装置、设备及介质
US10146904B2 (en) Methods and systems and dynamic visualization
JP2006280411A (ja) 眼底画像の解析方法及び眼底画像解析装置
KR100646828B1 (ko) 유방 영상에서의 종양 크기 측정시스템 및 방법
JP7211172B2 (ja) 動態画像解析システム及び動態画像処理装置
US20210307720A1 (en) Ultrasonic diagnostic apparatus and storage medium
WO2016061802A1 (zh) 一种在当前超声影像上显示感兴趣区域的方法及装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14902785

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 15514000

Country of ref document: US

122 Ep: pct application non-entry in european phase

Ref document number: 14902785

Country of ref document: EP

Kind code of ref document: A1