CN107993232A - A kind of tumor image analysis and processing method and device - Google Patents

A kind of tumor image analysis and processing method and device Download PDF

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Publication number
CN107993232A
CN107993232A CN201810005549.8A CN201810005549A CN107993232A CN 107993232 A CN107993232 A CN 107993232A CN 201810005549 A CN201810005549 A CN 201810005549A CN 107993232 A CN107993232 A CN 107993232A
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China
Prior art keywords
image
elastic
information
average value
standard deviation
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CN201810005549.8A
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罗慧
徐金锋
李剑
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Shenzhen Peoples Hospital
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Shenzhen Peoples Hospital
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Priority to CN201810005549.8A priority Critical patent/CN107993232A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10132—Ultrasound image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30096—Tumor; Lesion

Abstract

A kind of tumor image analysis and processing method and device, including：The hardness information of ultrasonic imaging is combined with the blood oxygenation information that photoacoustic imaging provides, to analyze tumor image.In the embodiment of the application, since the hardness information of ultrasonic imaging being combined with the blood oxygenation information that photoacoustic imaging provides, to analyze tumor image, the critical function that photoacoustic technique provides can form important complementation with molecular imaging information and the tissue morphology that ultrasonic technique provides and structural information, the two is implemented in combination with comprehensive observation to tumor structure and function.

Description

A kind of tumor image analysis and processing method and device
Technical field
This application involves image procossing, more particularly to a kind of tumor image analysis and processing method and device.
Background technology
With the appearance of quantitative measurement technology, elastogram enters new developing stage, and tissue elasticity quantitatively detects skill Art mainly includes Fibroscan technologies, acoustic radiation force Pulse Imageing technology (Acoustic Radiation Force Impulse, ARFI) and shearing wave elastography (Shear Wave Elastic Imaging, SWEI), due to Fibroscan technologies are one-dimensional elastic detection technique, and the research for hepatic fibrosis-renal tubular ectasia syndrome degree is more, and numerous scholars apply ARFI technologies and SWE technologies have carried out extensive, deep analysis to the elastic quantitative parameter of each organ tumor, and result of study shows Go out good clinical value of the elastic quantitative analysis in diagnosing tumor, ARFI technologies are by detecting lateral shear ripple after tissue deformation Speed judges tissue elasticity indirectly, but sampling analysis frame size is fixed, and can not realize the quantitative analysis or deeper to larger lesion The research of level.
Due to light strong scattering in biological tissues, although using scattering and absorb relatively weak near-infrared Light, the investigation depth of pure optical imaging method are still very limited.Particularly if to be accurately identified by high-resolution swollen Knurl, imaging depth can only then be confined to tissue surface.And current near-infrared fluorescence imaging system can only carry out two dimension Planar imaging, does not possess the resolution information of depth direction.In addition, near-infrared fluorescence imaging method also needs to preferably solve certainly The interference problem of fluorescence background.
The content of the invention
The application provides a kind of tumor image analysis and processing method and device.
According to the application's in a first aspect, the application provides a kind of tumor image analysis and processing method, including：
The hardness information of ultrasonic imaging is combined with the blood oxygenation information that photoacoustic imaging provides, to divide tumor image Analysis.
The above method, the hardness information of ultrasonic imaging is combined with the blood oxygenation information that photoacoustic imaging provides, with to tumour figure As being analyzed, specifically include：
The elastic image of detection site is obtained by ultrasonic shear wave elastography；
The B ultrasound image of detection site is obtained, the edge contour information of tumour in B ultrasound image is extracted, is fused to elastic graph Lesion region is partitioned on picture；
Quantify from the image after fusion and extract to evaluate the elastic characteristic population of parameters of the attribute of tumour；
Detection position is detected by photoacoustic imaging technology, is evaluated according to result of detection and elastic characteristic population of parameters Attribute is verified mutually.
The above method, the elastic characteristic population of parameters include：The elasticity modulus average value and standard deviation of area-of-interest, disease Become average value and standard deviation, the average value of surrounding tissue area and elastic ratio in region.
The above method, the multi-parameter value of elasticity modulus include elasticity modulus average value, maximum, minimum value and standard deviation.
According to the second aspect of the application, the application provides a kind of tumor image analysis processing device, and described device is used for The hardness information of ultrasonic imaging is combined with the blood oxygenation information that photoacoustic imaging provides, to analyze tumor image.
Above device, including：
Image collection module, for obtaining the elastic image of detection site by ultrasonic shear wave elastography；
Image co-registration module, for obtaining the B ultrasound image of detection site, extracts the edge contour of tumour in B ultrasound image Information, is fused on elastic image and is partitioned into lesion region；
Elastic characteristic population of parameters extraction module, for quantifying from the image after fusion and extracting to evaluate tumour The elastic characteristic population of parameters of attribute；
Authentication module, it is special according to result of detection and elasticity for being detected by photoacoustic imaging technology to detection position The attribute of sign population of parameters evaluation is verified mutually.
Above device, the elastic characteristic population of parameters include：The elasticity modulus average value and standard deviation of area-of-interest, disease Become average value and standard deviation, the average value of surrounding tissue area and elastic ratio in region.
Above device, the multi-parameter value of elasticity modulus include elasticity modulus average value, maximum, minimum value and standard deviation.
As a result of above technical scheme, it is the beneficial effect that the application possesses：
In the embodiment of the application, due to the blood oxygen for providing the hardness information of ultrasonic imaging and photoacoustic imaging Information combines, to analyze tumor image, critical function and molecular imaging information and ultrasonic technique that photoacoustic technique provides The tissue morphology of offer can form important complementation with structure, hardness information, the two is implemented in combination with to tumor structure and function Comprehensive observation.
Brief description of the drawings
Fig. 1 is the flow chart of the present processes in one embodiment；
Fig. 2 is the high-level schematic functional block diagram of the device of the application in one embodiment.
Embodiment
The application is described in further detail below by embodiment combination attached drawing.
Embodiment one：
The tumor image analysis and processing method of the application, a kind of its embodiment, including：
The hardness information of ultrasonic imaging is combined with the blood oxygenation information that photoacoustic imaging provides, to divide tumor image Analysis.
In one embodiment, as shown in Figure 1, the tumor image analysis and processing method of the application, can specifically include Following steps：
Step 102：The elastic image of detection site is obtained by ultrasonic shear wave elastography.
Step 104：The B ultrasound image of detection site is obtained, extracts the edge contour information of tumour in B ultrasound image, fusion Lesion region is partitioned on to elastic image.
Step 106：Quantify from the image after fusion and extract to evaluate the elastic characteristic parameter of the attribute of tumour Group and the multi-parameter value of elasticity modulus.
Step 108：Detection position is detected by photoacoustic imaging technology, according to result of detection and elastic characteristic parameter The attribute of group's evaluation is verified mutually.
In one embodiment, elastic characteristic parameter group can specifically include in the application：The elasticity of area-of-interest Modulus averages and standard deviation, the average value of lesion region and standard deviation, the average value of surrounding tissue area and elastic ratio.
In another embodiment, the multi-parameter value of elasticity modulus can specifically include elasticity modulus average value, maximum Value, minimum value and standard deviation.
Elastic image is usually pseudocolour picture, and green represents average elastic modulus value in area-of-interest, red represent compared with Big elastic mould value, blueness represent less elastic mould value.The clinical experience that binding of pathological is gained knowledge with doctor, generally recognizes For：Benign lesion shows as blue, green, and intralesional elasticity distribution is more uniform, smaller with the contrast of surrounding tissue elasticity；Dislike Venereal disease stove shows as red, yellow, and the elasticity distribution of intralesional is uneven (such as blood vessel, calcification etc.), with surrounding tissue elasticity Contrast it is larger.After pseudocolour picture is recovered to elastic mould value gray-scale map, with reference to the clinical experience and image procossing of doctor Knowledge, the application create following elastic characteristic population of parameters to describe the attribute of tumour：The elasticity modulus of area-of-interest is averaged Value and standard deviation, the average value and standard deviation of lesion region, the average value of surrounding tissue area, elastic ratio.
Tumour early stage, a large amount of capillaries were formed, and cell growth is vigorous, and a large amount of oxygen consumed in blood, cause intra-tumor blood Oxygen saturation reduces, the increase of hemoglobin total amount.Photoacoustic imaging is near infrared light using hemoglobin and deoxyhemoglobin This characteristic of dominant absorbers, by detecting absorptivity of the tumour near infrared light, hemoglobin in quantitative analysis tumor vessel Total amount and blood oxygen saturation, reflect inside tumor metabolic condition.Optical absorption i.e. by blood in itself, to the trophema of tumour It is close with tumor microenvironment that pipe carries out highly sensitive imaging, quantitative measurement vascular morphology, density, blood flow, blood oxygen, oxygen metabolism etc. Relevant important physiological parameter is cut, tumour can also be carried out in itself by high sensitivity and the optoacoustic molecular probe of high specific High accuracy three-dimensional is imaged, and is then judged biological behaviour, is accurately distinguished tumour and health tissues.
In addition, photoacoustic imaging breaches the investigation depth limit of traditional high-resolution optics imaging method 1mm or so.Optoacoustic into Superficial tissues can also be carried out optics point by the imaging as that to the tissue of centimetre depth, can carry out ultrasonic resolution ratio (~0.1mm) The hyperfine imaging of resolution (~1 micron).The high sensitivity and high specific of optoacoustic tumor imaging, with reference to the technology it is unique across The more imaging capability of the multiple scales of molecule, tissue, organ, and the characteristics of its safety is radiationless, economical portable, not only indicate The important technical innovation in biomedical imaging field, the also antidiastole for different classes of tumour bring new great machine Meet.
Embodiment two：
The tumor image analysis processing device of the application, its a kind of embodiment, for by the hardness information of ultrasonic imaging The blood oxygenation information provided with photoacoustic imaging is combined, to analyze tumor image.
As shown in Fig. 2, the tumor image analysis processing device of the application, can include image collection module, image co-registration Module, elastic characteristic population of parameters extraction module and authentication module.
Image collection module, for obtaining the elastic image of detection site by ultrasonic shear wave elastography；
Image co-registration module, for obtaining the B ultrasound image of detection site, extracts the edge contour of tumour in B ultrasound image Information, is fused on elastic image and is partitioned into lesion region；
Elastic characteristic population of parameters extraction module, for quantifying from the image after fusion and extracting to evaluate tumour The elastic characteristic population of parameters of attribute；
Authentication module, it is special according to result of detection and elasticity for being detected by photoacoustic imaging technology to detection position The attribute of sign population of parameters evaluation is verified mutually.
In one embodiment, elastic characteristic population of parameters includes：The elasticity modulus average value and standard of area-of-interest Difference, the average value of lesion region and standard deviation, the average value of surrounding tissue area and elastic ratio.
In another embodiment, the multi-parameter value of elasticity modulus can specifically include elasticity modulus average value, maximum Value, minimum value and standard deviation.
The foregoing is a further detailed description of the present application in conjunction with specific implementation manners, it is impossible to assert this Shen Specific implementation please is confined to these explanations.For those of ordinary skill in the art to which this application belongs, do not taking off On the premise of conceiving from the application, some simple deduction or replace can also be made.

Claims (8)

  1. A kind of 1. tumor image analysis and processing method, it is characterised in that including：
    The hardness information of ultrasonic imaging is combined with the blood oxygenation information that photoacoustic imaging provides, to analyze tumor image.
  2. 2. the method as described in claim 1, it is characterised in that the blood that the hardness information of ultrasonic imaging and photoacoustic imaging are provided Oxygen information combines, and to analyze tumor image, specifically includes：
    The elastic image of detection site is obtained by ultrasonic shear wave elastography；
    The B ultrasound image of detection site is obtained, the edge contour information of tumour in B ultrasound image is extracted, is fused on elastic image It is partitioned into lesion region；
    Quantify from the image after fusion and extract to evaluate the elastic characteristic population of parameters of the attribute of tumour and elasticity modulus Multi-parameter value；
    Detection position is detected by photoacoustic imaging technology, the attribute evaluated according to result of detection and elastic characteristic population of parameters Verification mutually.
  3. 3. method as claimed in claim 2, it is characterised in that the elastic characteristic population of parameters includes：The bullet of area-of-interest Property modulus averages and standard deviation, the average value of lesion region and standard deviation, the average value of surrounding tissue area and elastic ratio.
  4. 4. method as claimed in claim 2, it is characterised in that the multi-parameter value of elasticity modulus include elasticity modulus average value, Maximum, minimum value and standard deviation.
  5. A kind of 5. tumor image analysis processing device, it is characterised in that described device be used for by the hardness information of ultrasonic imaging with The blood oxygenation information that photoacoustic imaging provides combines, to analyze tumor image.
  6. 6. device as claimed in claim 5, it is characterised in that including：
    Image collection module, for obtaining the elastic image of detection site by ultrasonic shear wave elastography；
    Image co-registration module, for obtaining the B ultrasound image of detection site, extracts the edge contour information of tumour in B ultrasound image, It is fused on elastic image and is partitioned into lesion region；
    Elastic characteristic population of parameters extraction module, the attribute of tumour is evaluated for quantifying from the image after fusion and extracting Elastic characteristic population of parameters；
    Authentication module, for being detected by photoacoustic imaging technology to detection position, joins according to result of detection and elastic characteristic The attribute of several groups of evaluations is verified mutually.
  7. 7. device as claimed in claim 6, it is characterised in that the elastic characteristic population of parameters includes：The bullet of area-of-interest Property modulus averages and standard deviation, the average value of lesion region and standard deviation, the average value of surrounding tissue area and elastic ratio.
  8. 8. device as claimed in claim 6, it is characterised in that the multi-parameter value of elasticity modulus include elasticity modulus average value, Maximum, minimum value and standard deviation.
CN201810005549.8A 2018-01-03 2018-01-03 A kind of tumor image analysis and processing method and device Pending CN107993232A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110349127A (en) * 2019-06-20 2019-10-18 中国电子科技集团公司电子科学研究院 The prediction technique and device of the equivalent elastic modulus of particle layer
CN110403576A (en) * 2019-08-01 2019-11-05 中国医学科学院北京协和医院 Application of the three-dimensional photoacoustic imaging in tumor of breast points-scoring system
CN111554383A (en) * 2020-04-24 2020-08-18 浙江杜比医疗科技有限公司 Neural network for breast tumor detection and detection system thereof
WO2021017418A1 (en) * 2019-08-01 2021-02-04 中国医学科学院北京协和医院 Application of three-dimensional photoacoustic imaging in breast tumor scoring system and device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101489490A (en) * 2006-07-31 2009-07-22 株式会社日立医药 Pressing device, and ultrasonic probe and ultrasonic diagnosis device using the pressing device
CN103578099A (en) * 2012-08-08 2014-02-12 深圳市慧康精密仪器有限公司 Method for extracting tumor elasticity characteristics based on ultrasonic elastography
EP2904956A1 (en) * 2014-02-06 2015-08-12 Fujifilm Corporation Endoscope system, processor device for endoscope system, operation method for endoscope system, and operation method for processor device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101489490A (en) * 2006-07-31 2009-07-22 株式会社日立医药 Pressing device, and ultrasonic probe and ultrasonic diagnosis device using the pressing device
CN103578099A (en) * 2012-08-08 2014-02-12 深圳市慧康精密仪器有限公司 Method for extracting tumor elasticity characteristics based on ultrasonic elastography
EP2904956A1 (en) * 2014-02-06 2015-08-12 Fujifilm Corporation Endoscope system, processor device for endoscope system, operation method for endoscope system, and operation method for processor device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张义侠等: "超声光散射成像与超声弹性成像技术联合应用在乳腺癌诊断", 《沈阳医学院学报》 *
骆清铭: "《生物分子光子学研究前沿》", 31 October 2014, 上海交通大学出版社 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110349127A (en) * 2019-06-20 2019-10-18 中国电子科技集团公司电子科学研究院 The prediction technique and device of the equivalent elastic modulus of particle layer
CN110403576A (en) * 2019-08-01 2019-11-05 中国医学科学院北京协和医院 Application of the three-dimensional photoacoustic imaging in tumor of breast points-scoring system
WO2021017418A1 (en) * 2019-08-01 2021-02-04 中国医学科学院北京协和医院 Application of three-dimensional photoacoustic imaging in breast tumor scoring system and device
CN110403576B (en) * 2019-08-01 2024-01-30 中国医学科学院北京协和医院 Application of three-dimensional photoacoustic imaging in breast tumor scoring system
CN111554383A (en) * 2020-04-24 2020-08-18 浙江杜比医疗科技有限公司 Neural network for breast tumor detection and detection system thereof
CN111554383B (en) * 2020-04-24 2023-09-05 浙江杜比医疗科技有限公司 Neural network for breast tumor detection and detection system thereof

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Application publication date: 20180504