CN110570378B - Image display method, device, equipment and storage medium - Google Patents
Image display method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110570378B CN110570378B CN201910859875.XA CN201910859875A CN110570378B CN 110570378 B CN110570378 B CN 110570378B CN 201910859875 A CN201910859875 A CN 201910859875A CN 110570378 B CN110570378 B CN 110570378B
- Authority
- CN
- China
- Prior art keywords
- equivalent thickness
- image
- value
- equivalent
- original image
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000006243 chemical reaction Methods 0.000 claims abstract description 41
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 3
- 238000002591 computed tomography Methods 0.000 description 17
- 230000015654 memory Effects 0.000 description 15
- 230000000694 effects Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 8
- 238000004422 calculation algorithm Methods 0.000 description 6
- 238000007781 pre-processing Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000003709 image segmentation Methods 0.000 description 2
- 230000002427 irreversible effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000001629 suppression Effects 0.000 description 2
- 210000001519 tissue Anatomy 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 241000270295 Serpentes Species 0.000 description 1
- 238000012896 Statistical algorithm Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 210000003625 skull Anatomy 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G06T5/70—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- 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
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20104—Interactive definition of region of interest [ROI]
Abstract
The invention discloses a display method, a device, medical equipment and a storage medium of an image, wherein the display method of the image comprises the following steps: acquiring an original image; performing equivalent thickness conversion on the original image to obtain an equivalent thickness image, wherein the equivalent thickness conversion refers to operation of converting brightness values of all pixel points in the image into equivalent thickness values of a set reference object; and displaying the equivalent thickness image. According to the technical scheme provided by the embodiment of the invention, the original image is converted into the equivalent thickness image with the set parameter object thickness, so that the contrast of image display is effectively improved, and the quality of the image is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of image processing, in particular to an image display method, device and equipment and a storage medium.
Background
With the continuous progress of technology, the detection level of medical equipment is gradually improved, and the requirements on the resolution and contrast of medical images are also higher and higher.
For traditional medical images, such as CT (computed tomography) images, CT values or Hounsfield Units (HU) are used to describe the degree of attenuation of tissue, which is then mapped linearly into a display image.
When the contrast of the region of interest is low, the traditional medical image display method has poor display effect, and various details of the region of interest cannot be displayed, so that diagnosis of doctors is affected.
Disclosure of Invention
The embodiment of the invention provides an image display method, device, equipment and storage medium, so as to realize the effect of improving the image contrast.
In a first aspect, an embodiment of the present invention provides a method for displaying an image, where the method includes:
acquiring an original image;
performing equivalent thickness conversion on the original image to obtain an equivalent thickness image, wherein the equivalent thickness conversion refers to operation of converting brightness values of all pixel points in the image into equivalent thickness values of a set reference object;
and displaying the equivalent thickness image.
In a second aspect, an embodiment of the present invention further provides an image display apparatus, including:
the original image acquisition module is used for acquiring an original image;
the equivalent thickness image acquisition module is used for carrying out equivalent thickness conversion on the original image to obtain an equivalent thickness image, wherein the equivalent thickness conversion refers to operation of converting brightness values of all pixel points in the image into equivalent thickness values of a set reference object;
and the image display module is used for displaying the equivalent thickness image.
In a third aspect, embodiments of the present invention also provide a medical device, including:
and the image processing module is used for generating an image and executing the image display method provided by any embodiment of the invention.
In a fourth aspect, embodiments of the present invention further provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for displaying an image provided by any of the embodiments of the present invention.
According to the technical scheme provided by the embodiment of the invention, the contrast of the original image is improved by converting the original image into the equivalent thickness image with the set reference object thickness, and the quality and the display effect of the image are improved.
Drawings
Fig. 1 is a flowchart of a method for displaying an image according to a first embodiment of the present invention;
fig. 2A is a flowchart of a method for displaying an image according to a second embodiment of the present invention;
fig. 2B is an effect diagram of an original image in the second embodiment of the present invention;
FIG. 2C is an effect diagram of an irreversible equivalent thickness image in a second embodiment of the invention;
FIG. 2D is an effect diagram of an inverted equivalent thickness image in a second embodiment of the invention;
fig. 3 is a schematic structural view of a display device for an image in a third embodiment of the present invention;
fig. 4 is a schematic structural view of a medical device according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a method for displaying an image according to an embodiment of the present invention, where, as shown in fig. 1, the method for displaying an image includes:
step 110, acquiring an original image.
The original image refers to an image to be converted, and can be an image generated in real time or an image stored in a set position. Alternatively, the original image may be obtained by wired or wireless means, such as by bluetooth, WIFI. The original image may also be obtained by obtaining it from a different storage area of the same device, or by obtaining it through an external storage medium, such as a USB flash disk (also called a USB disk).
Optionally, acquiring the original image includes: judging whether a viewing request of a target user on an original image is received or not; if yes, the original image is obtained.
The setting has the advantages that the memory of the system hardware is reduced, all generated original images, such as medical images generated in the scanning process, are not cached or stored in the set area, but the images are acquired when the view request of the target user is received, the requirement on the hardware memory is reduced, and the cost is reduced.
And 120, performing equivalent thickness conversion on the original image to obtain an equivalent thickness image.
The equivalent thickness conversion is an operation of converting the brightness value of each pixel point in the image into an equivalent thickness value of the set reference object.
Optionally, the setting reference comprises water. Of course, other substances may be used as the setting reference, which is not limited in the embodiment of the present invention.
The luminance value may be a gray value for representing the luminance of a black-and-white image pixel, or may be a color luminance value for representing a color image pixel, such as an RGB value or a YUV value.
Optionally, performing equivalent thickness conversion on the original image includes:
and performing equivalent thickness conversion on the original image according to the brightness value of each pixel point of the original image and the attenuation coefficient of the set reference object.
Specifically, an expression for calculating the equivalent thickness value of each pixel point of the original image can be constructed according to the brightness value of each pixel point of the original medical image and the attenuation coefficient of the set reference object;
and performing equivalent water thickness conversion on the original medical image according to the expression.
Exemplary, let the incident energy intensity of a pixel point of the original image be I 0 The energy intensity of the pixel point in the original image is I, and the attenuation coefficient of water is mu w Then the equivalent water thickness d after the pixel point conversion w The method comprises the following steps:
by adopting the formula, the equivalent water thickness value corresponding to each pixel point of the original image can be obtained.
Optionally, performing equivalent thickness conversion on the original image to obtain an equivalent thickness image, including: acquiring the corresponding relation between the brightness value of the original image and the equivalent thickness value of the set reference object; and performing equivalent thickness conversion on the original image according to the corresponding relation to obtain the equivalent thickness image.
The corresponding relation is the corresponding relation between the brightness value or gray value of the original image and the equivalent thickness value of the set reference object, and the form of the corresponding relation can be a table or a look-up table (LUT) or a relational expression. The corresponding relation can be input or selected by the user at the time of each conversion, and can also be set by default.
Specifically, an equivalent thickness value corresponding to each pixel point of the original image can be determined according to the brightness value of the pixel point, and then an equivalent thickness image is obtained according to the equivalent thickness value of each pixel point.
And 130, displaying the equivalent thickness image.
Optionally, displaying the equivalent thickness image includes: determining display parameters of the equivalent thickness image according to the equivalent thickness value of the region of interest of the equivalent thickness image; and displaying the equivalent thickness image according to the display parameters. Alternatively, the display parameters may include window width and window level.
Specifically, the window width of the equivalent thickness image is the difference between the maximum equivalent thickness value and the minimum equivalent thickness value of the region of interest of the equivalent thickness image, and the window level is the average value of the maximum equivalent thickness value and the minimum equivalent thickness value. The information of the window is represented by the equivalent thickness value of the region of interest, so that the information and details of the region of interest can be better displayed, the equivalent thickness image can be displayed in a targeted manner, and the emphasis of image display is highlighted.
According to the technical scheme provided by the embodiment of the invention, the contrast of the original image is improved by converting the original image into the equivalent thickness image with the set reference object thickness, and the quality and the display effect of the image are improved.
Example two
Fig. 2 is a flowchart of a method for displaying an image according to a second embodiment of the present invention, where the method provided in the present embodiment is further supplemented and optimized based on the foregoing method, and in this embodiment, the optional method for displaying an image further includes: preprocessing the original image; removing a low-frequency scattering part in the equivalent water thickness image by a scattering kernel superposition method; and reversing the equivalent thickness value of each pixel point of the equivalent thickness image.
As shown in fig. 2, the method for displaying an image includes:
step 210, acquiring an original image.
Step 220, preprocessing the original image.
Wherein the preprocessing includes at least one of image segmentation, image filtering, image enhancement, image suppression, and image color transformation. Of course, the pretreatment may also include other treatment methods, which are not limited in this embodiment of the present invention.
Before equivalent thickness conversion, the original image is preprocessed to filter noise of the original image, reduce the area to be processed, convert the image into a format easier to process, and lay a foundation for subsequent equivalent thickness conversion.
And 230, performing equivalent thickness conversion on the original image to obtain an equivalent thickness image.
And 240, removing a low-frequency scattered part in the equivalent thickness image by a scattering kernel superposition method.
The scattering kernel superposition method (scatter kernel superposition method, SKS) mainly comprises the following steps:
1) Using numerical modeling and/or theoretical analysis to obtain a set of scattering kernels, wherein each scattering kernel reflects the scattering distribution field of an image point of a particular substance (characterized by equivalent thickness);
2) Converting the gray level image into an equivalent thickness image;
3) Selecting matched scattering cores according to the thickness value of each point in the equivalent thickness map, and superposing all the scattering cores to obtain a complete scattering distribution map;
4) Subtracting scattering distribution on the basis of the gray level image to obtain an updated gray level image;
5) And (3) repeatedly iterating the steps 2) to 4) to obtain a gray level image with low-frequency dispersion removed and a corresponding equivalent thickness image.
The influence of the low-frequency scattering part on the equivalent thickness image is removed by the scattering kernel superposition method, the noise of the image is reduced, the signal-to-noise ratio of the image is improved, the display effect of the image is further improved,
and 250, carrying out inversion operation on the equivalent thickness value of each pixel point of the equivalent thickness image.
The inversion operation is to determine the equivalent thickness value of each pixel point after inversion according to the equivalent thickness value of each pixel point and a preset equivalent thickness value.
Illustratively, the inverting operation may be: let the equivalent thickness values before and after the inversion of the target pixel point of the equivalent thickness image be r and s respectively, the relation between r and s is:
s＝max+min-r
wherein max is the maximum equivalent thickness value of the equivalent thickness image before inversion, and min is the minimum equivalent thickness value of the equivalent thickness image before inversion.
Of course, the inversion may be performed in other ways, and the main principle is that the order of the equivalent thickness values of the respective pixels before and after the inversion is reversed.
Step 260, determining a region of interest of the equivalent thickness image.
Specifically, the user may determine the region of interest, e.g., delineate the region of interest of the equivalent thickness image; or the interested area can be determined by self according to a setting algorithm; the region of interest may be automatically determined by the setting algorithm and then corrected or determined by the user. Wherein, the setting algorithm comprises:
step 270, determining the window width and the window level of the equivalent thickness image according to the maximum equivalent thickness value and the minimum equivalent thickness value in the equivalent thickness values of each pixel point of the region of interest.
Optionally, determining the window width and the window level of the equivalent thickness image according to the maximum equivalent thickness value and the minimum equivalent thickness value in the equivalent thickness values of each pixel point of the region of interest includes: and a Snake algorithm, a neural network algorithm, a statistical algorithm and other feature extraction algorithms.
Optionally, determining the window width and the window level of the equivalent thickness image according to the maximum equivalent thickness value and the minimum equivalent thickness value in the equivalent thickness values of each pixel point of the region of interest includes:
acquiring the corresponding relation between the equivalent thickness value and the CT value; determining a maximum CT value and a minimum CT value of the region of interest according to the corresponding relation and the equivalent thickness value of each pixel point of the region of interest; and determining the window width and the window level of the equivalent thickness image according to the maximum CT value and the minimum CT value.
Among them, CT values, also called Hounsfield Unit (HU), are physical quantities used to characterize the tissue density of the human body.
The window width and the window level of the equivalent thickness image are described by adopting the CT value, which is a conventional analysis mode for analyzing the image by a user, and the applicability and the convenience of the equivalent thickness image are improved by converting the equivalent thickness value into the CT value for display, thereby being beneficial to the user to review and analyze.
And 280, displaying the equivalent thickness image according to the window width and the window level.
Fig. 2B is an effect diagram of an original image according to a second embodiment of the present invention, which is used to represent a physical quantity of an image as a CT value. Fig. 2C is an effect diagram of an irreversible equivalent thickness image according to the second embodiment of the present invention, where the physical quantity of the characterization image used in fig. 2C is water equivalent thickness, that is, an equivalent thickness image obtained by performing equivalent thickness conversion using water as a set reference. Fig. 2D is an effect diagram of an inverted equivalent thickness image provided in the second embodiment of the present invention, and physical quantities used in characterizing the image in fig. 2D are also water equivalent thicknesses, so that it can be seen that the equivalent thickness of the inverted image in fig. 2D better conforms to the description mode of the original image. And as can be seen by comparing fig. 2D with fig. 2B, details of the skull portion of the image (fig. 2D) after equivalent thickness conversion are more obvious, the contrast is higher, and the display quality of the image is improved.
According to the technical scheme, the original image is preprocessed, irrelevant information in the original image is eliminated, useful real information is recovered, the detectability of related information is enhanced, data is simplified to the greatest extent, and a good foundation is laid for subsequent equivalent thickness conversion; by eliminating the low-frequency scattering part in the equivalent thickness image, the signal-to-noise ratio of the image is improved; the display mode of the equivalent water thickness image is more in line with the common sense and habit of a user through reversing the equivalent water thickness image; the window width and the window level of the equivalent thickness image are described by determining the region of interest and adopting the equivalent thickness value of the region of interest, so that the emphasis of the equivalent thickness image is highlighted, the information and the details of the region of interest are completely and effectively displayed, and the applicability and the convenience of image display are improved.
Example III
Fig. 3 is a schematic structural diagram of an image display device according to a third embodiment of the present invention, and as shown in fig. 3, the image display device includes: an original image acquisition module 310, an equivalent thickness image acquisition module 320, and an image display module 330.
The original image obtaining module 310 is configured to obtain an original image; the equivalent thickness image obtaining module 320 is configured to perform equivalent thickness conversion on the original image to obtain an equivalent thickness image, where the equivalent thickness conversion refers to an operation of converting a brightness value of each pixel point in the image into an equivalent thickness value of a set reference object; and an image display module 330 for displaying the equivalent thickness image.
Optionally, the set reference comprises water. Accordingly, the equivalent thickness image acquisition module 320 is specifically configured to: and performing equivalent thickness conversion on the original image to obtain an equivalent thickness image, wherein the equivalent thickness conversion refers to operation of converting the brightness value of each pixel point in the image into an equivalent thickness value of water.
Optionally, the equivalent thickness image acquisition module 320 is specifically configured to:
and performing equivalent thickness conversion on the original image according to the brightness value of each pixel point of the original image and the attenuation coefficient of the set reference object to obtain an equivalent thickness image.
Optionally, the equivalent thickness image acquisition module 320 is specifically configured to:
acquiring the corresponding relation between the brightness value of the original image and the equivalent thickness value of the set reference object;
and performing equivalent thickness conversion on the original image according to the corresponding relation to obtain the equivalent thickness image.
Optionally, the image display module 330 includes:
the window determining unit is used for determining display parameters of the equivalent thickness image according to the equivalent thickness value of the region of interest of the equivalent thickness image;
and the image display unit is used for displaying the equivalent thickness image according to the display parameters.
Alternatively, the display parameters may include window width and window level.
Optionally, the window determining unit includes:
a region of interest determination subunit configured to determine a region of interest of the equivalent thickness image;
and the window determining subunit is used for determining the window width and the window level of the equivalent thickness image according to the maximum equivalent thickness value and the minimum equivalent thickness value in the equivalent thickness values of all the pixel points of the region of interest.
Optionally, the window determining subunit is further configured to:
acquiring the corresponding relation between the equivalent thickness value and the CT value;
determining a maximum CT value and a minimum CT value of the region of interest according to the corresponding relation and the equivalent thickness value of each pixel point of the region of interest;
and determining the window width and the window level of the equivalent thickness image according to the maximum CT value and the minimum CT value.
Optionally, the image display device further includes:
the preprocessing module is used for preprocessing the original image before the equivalent thickness conversion of the original image.
Wherein the preprocessing includes at least one of image segmentation, image filtering, image enhancement, image suppression, and image color transformation.
Optionally, the image display device further includes:
and the scattering removal module is used for carrying out equivalent thickness conversion on the original image to obtain an equivalent thickness image, and removing a low-frequency scattering part in the equivalent thickness image by a scattering kernel superposition method before the equivalent thickness image is displayed.
Optionally, the image display device further includes:
and the inversion module is used for performing equivalent thickness conversion on the original image, and performing inversion operation on equivalent thickness values of all pixel points of the equivalent thickness image before displaying the equivalent thickness image after the equivalent thickness image is obtained.
The inversion operation is to determine the equivalent thickness value of each pixel point after inversion according to the equivalent thickness value of each pixel point and a preset equivalent thickness value.
The image display device provided by the embodiment of the invention can execute the image display method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of a medical device according to a fourth embodiment of the present invention, as shown in fig. 4, the device includes: a display device 410 and an image processing module 420.
Wherein the display device 410 is used for displaying images; the image processing module 420 is used to generate an image and perform the image display method provided by any embodiment of the present invention.
Alternatively, the display device 410 may be a display, which may be fixedly mounted or detachably mounted, and may be rotatable or stationary. May be a Liquid crystal display (Liquid CrystalDisplay, LCD), a Cathode Ray Tube (CRT), a plasma display (Plasma Display Panel, PDP), or the like. May be a bar screen or a square screen. The size, the mounting mode, the materials and the like of the display device are not limited in the embodiment of the invention.
Alternatively, the image processing module 420 may include one or more processors and one or more memories.
The memory, as a kind of computer-readable storage medium, may be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the image display method in the embodiment of the present invention (e.g., the original image acquisition module 310, the equivalent thickness image acquisition module 320, and the image display module 330 in the display device of an image). The processor executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory, i.e., implements the above-described image display method.
The memory may mainly include a memory program area and a memory data area, wherein the memory program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the terminal, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, the memory may further include memory remotely located with respect to the processor, which may be connected to the device/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Example five
A fifth embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing a method of displaying an image, the method comprising:
acquiring an original image;
performing equivalent thickness conversion on the original image to obtain an equivalent thickness image, wherein the equivalent thickness conversion refers to operation of converting brightness values of all pixel points in the image into equivalent thickness values of a set reference object;
and displaying the equivalent thickness image.
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the method operations described above, and may also perform the related operations of the steps performed by the image display method provided in any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods, steps of the embodiments of the present invention.
It should be noted that, in the embodiment of the image display apparatus described above, each unit, sub-unit and module included is only divided according to the functional logic, but is not limited to the above-described division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1. A method of displaying an image, comprising:
acquiring an original image;
performing equivalent thickness conversion on the original image to obtain an equivalent thickness image, wherein the equivalent thickness conversion refers to operation of converting brightness values of all pixel points in the image into equivalent thickness values of a set reference object;
determining display parameters of the equivalent thickness image according to the equivalent thickness value of the region of interest of the equivalent thickness image;
displaying the equivalent thickness image according to the display parameters;
the set reference comprises water;
the display parameters comprise window width and window level, wherein the window width of the equivalent thickness image is the difference value between the maximum equivalent thickness value and the minimum equivalent thickness value of the interested region of the equivalent thickness image, and the window level is the average value of the maximum equivalent thickness value and the minimum equivalent thickness value.
2. The display method according to claim 1, wherein the performing equivalent thickness conversion on the original image includes:
and performing equivalent thickness conversion on the original image according to the brightness value of each pixel point of the original image and the attenuation coefficient of the set reference object.
3. The display method according to claim 1, wherein the performing equivalent thickness conversion on the original image to obtain an equivalent thickness image includes:
acquiring the corresponding relation between the brightness value of the original image and the equivalent thickness value of the set reference object;
and performing equivalent thickness conversion on the original image according to the corresponding relation to obtain the equivalent thickness image.
4. The display method according to claim 1, wherein the determining the window width and the window level of the equivalent thickness image according to the equivalent thickness value of the region of interest of the equivalent thickness image includes:
determining a region of interest of the equivalent thickness image;
and determining the window width and the window level of the equivalent thickness image according to the maximum equivalent thickness value and the minimum equivalent thickness value in the equivalent thickness values of all the pixel points of the region of interest.
5. The display method according to claim 4, wherein the determining the window width and the window level of the equivalent thickness image according to the maximum thickness value and the minimum thickness value among the equivalent thickness values of the respective pixels of the region of interest includes:
acquiring the corresponding relation between the equivalent thickness value and the CT value;
determining a maximum CT value and a minimum CT value of the region of interest according to the corresponding relation and the equivalent thickness value of each pixel point of the region of interest;
and determining the window width and the window level of the equivalent thickness image according to the maximum CT value and the minimum CT value.
6. The display method according to claim 1, wherein after performing equivalent thickness conversion on the original image to obtain an equivalent thickness image, before displaying the equivalent thickness image, further comprising:
removing a low-frequency scattering part in the equivalent thickness image by a scattering kernel superposition method; and/or
And carrying out inversion operation on the equivalent thickness value of each pixel point of the equivalent thickness image, wherein the inversion operation is to determine the equivalent thickness value of each pixel point after inversion according to the equivalent thickness value of each pixel point and a preset equivalent thickness value.
7. An image display device, comprising:
the original image acquisition module is used for acquiring an original image;
the equivalent thickness image acquisition module is used for carrying out equivalent thickness conversion on the original image to obtain an equivalent thickness image, wherein the equivalent thickness conversion refers to operation of converting brightness values of all pixel points in the image into equivalent thickness values of a set reference object;
an image display module, comprising:
the window determining unit is used for determining display parameters of the equivalent thickness image according to the equivalent thickness value of the region of interest of the equivalent thickness image;
an image display unit for displaying the equivalent thickness image according to the display parameter;
the set reference comprises water;
the display parameters comprise window width and window level, wherein the window width of the equivalent thickness image is the difference value between the maximum equivalent thickness value and the minimum equivalent thickness value of the interested region of the equivalent thickness image, and the window level is the average value of the maximum equivalent thickness value and the minimum equivalent thickness value.
8. A medical device, comprising:
an image processing module for generating an image and performing the method of displaying an image according to any one of claims 1-6.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of displaying an image according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910859875.XA CN110570378B (en) | 2019-09-11 | 2019-09-11 | Image display method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910859875.XA CN110570378B (en) | 2019-09-11 | 2019-09-11 | Image display method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110570378A CN110570378A (en) | 2019-12-13 |
| CN110570378B true CN110570378B (en) | 2024-02-02 |
Family
ID=68779315
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910859875.XA Active CN110570378B (en) | 2019-09-11 | 2019-09-11 | Image display method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110570378B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101382505A (en) * | 2008-09-25 | 2009-03-11 | 中北大学 | X ray imaging arrangement and method |
| JP2012199652A (en) * | 2011-03-18 | 2012-10-18 | Fujitsu Ltd | Image processing device, method, and program |
| CN105023273A (en) * | 2015-07-01 | 2015-11-04 | 张逸凡 | ROI (Region of Interest) window width and position adjusting method of medical image |
| CN105488765A (en) * | 2015-11-23 | 2016-04-13 | 沈阳东软医疗系统有限公司 | Image dynamic range adjustment method and apparatus |
| CN106709929A (en) * | 2016-12-30 | 2017-05-24 | 上海联影医疗科技有限公司 | Method and device for displaying interesting region of medical image |
| CN108577872A (en) * | 2017-12-29 | 2018-09-28 | 上海联影医疗科技有限公司 | Medical image removes scattering method, system and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2012259403B2 (en) * | 2011-03-07 | 2016-08-04 | Loma Linda University Medical Center | Systems, devices and methods related to calibration of a proton computed tomography scanner |
| US9808216B2 (en) * | 2014-06-20 | 2017-11-07 | Marquette University | Material decomposition of multi-spectral x-ray projections using neural networks |
-
2019
- 2019-09-11 CN CN201910859875.XA patent/CN110570378B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101382505A (en) * | 2008-09-25 | 2009-03-11 | 中北大学 | X ray imaging arrangement and method |
| JP2012199652A (en) * | 2011-03-18 | 2012-10-18 | Fujitsu Ltd | Image processing device, method, and program |
| CN105023273A (en) * | 2015-07-01 | 2015-11-04 | 张逸凡 | ROI (Region of Interest) window width and position adjusting method of medical image |
| CN105488765A (en) * | 2015-11-23 | 2016-04-13 | 沈阳东软医疗系统有限公司 | Image dynamic range adjustment method and apparatus |
| CN106709929A (en) * | 2016-12-30 | 2017-05-24 | 上海联影医疗科技有限公司 | Method and device for displaying interesting region of medical image |
| CN108577872A (en) * | 2017-12-29 | 2018-09-28 | 上海联影医疗科技有限公司 | Medical image removes scattering method, system and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| "锥形束CT图像的散射校正";王玉;《中国优秀博硕士学位论文全文数据库(博士)-信息科技辑》;20150915;第2015年卷(第9期);第2.1.2节，第2.3.2节 * |
| DICOM医学图像显示算法改进与实现;林红利;陈真诚;王伟胜;;计算机系统应用(06);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110570378A (en) | 2019-12-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fu et al. | A fusion-based enhancing method for weakly illuminated images | |
| JP4413504B2 (en) | Medical image processing apparatus, medical image processing method, and medical image processing program | |
| KR101493375B1 (en) | Image processing apparatus, image processing method, and computer-readable storage medium | |
| CN110288551B (en) | Video beautifying method and device and electronic equipment | |
| CN108389214B (en) | Ultrasonic image processing method and device, electronic equipment and storage medium | |
| CN107146231B (en) | Retinal image bleeding area segmentation method and device and computing equipment | |
| US8634630B2 (en) | Method and apparatus for enhancing representations of micro-calcifications in a digital mammogram image | |
| US10433796B2 (en) | Selecting transfer functions for displaying medical images | |
| JP6819445B2 (en) | Information processing equipment, control methods, and programs | |
| CN110570378B (en) | Image display method, device, equipment and storage medium | |
| Martens | Adaptive contrast enhancement through residue-image processing | |
| CN113052923A (en) | Tone mapping method, tone mapping apparatus, electronic device, and storage medium | |
| JP6414386B2 (en) | Image processing apparatus and image processing program | |
| CN109377451B (en) | Method, terminal and storage medium for removing grid shadow of X-ray image grid | |
| JP4707471B2 (en) | Image processing program, apparatus and method | |
| CN114494070A (en) | Blood vessel image enhancement method, device, equipment and storage medium | |
| CN110796629B (en) | Image fusion method and system | |
| CN110140150B (en) | Image processing method and device and terminal equipment | |
| Supriyanto et al. | Semi-automatic thyroid area measurement based on ultrasound image | |
| Zhang et al. | A LDCT image contrast enhancement algorithm based on single-scale retinex theory | |
| CN116721143B (en) | Depth information processing device and method for 3D medical image | |
| Alam et al. | A database of local masking thresholds in natural images | |
| JP7439640B2 (en) | Radiation image processing device, program and radiation image processing method | |
| CN111654701B (en) | Video coding preprocessing method, device, equipment and computer readable storage medium | |
| CN111986285B (en) | Image correction method, device, equipment and storage medium |
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 | ||
| CB02 | Change of applicant information |
Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant after: Shanghai Lianying Medical Technology Co.,Ltd. Address before: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |