KR20150134990A - Tomography image date treatment system and method - Google Patents
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Abstract
Description
The present invention relates to a tomographic image data processing system and a tomographic image data processing method, and more particularly, to a tomographic image data processing method and a tomographic image data processing method which minimize the data capacity of a tomographic image obtained through CT or MR imaging, The present invention also relates to a tomographic image data processing system and a tomographic image data processing method capable of improving the data processing efficiency of an overall tomographic image by increasing the processing speed by enabling quick recovery of a tomographic image.
As is well known, the term "tomography" refers to an X-ray examination that captures only one section of the body, which can be performed as a close examination of microscopic lesions that are not well known for simple imaging in one direction will be.
The principle of tomography is, for example, placing the center of motion of the axis on the section to be imaged and then taking the tube and the film on the opposite side of the axis with circular motion, Image) is clearly photographed and all but the surface becomes blurred. In this way, tomographic images at 1 to 2 cm intervals reveal fine lesions. And if you study in various ways, it can be possible to take pictures of the front, rear, left and right longitudinal sections, or cross sections.
In a CT imaging system, a plurality of x-ray radiographic views of an object produce projection data sets. Each line of projection data represents the integration of the density values of the internal structures in the plane or slice of the subject. From a plurality of projection data sets, a CT imaging system generates two-dimensional sectional images and three-dimensional images for the internal structures of the subject.
The images are obtained through well known image reconstruction algorithms for the projection data sets. These techniques for reconstructing cross-sectional images or three-dimensional images from a plurality of sets of projection data are generally referred to as "tomography ".
FIG. 1 shows a tomographic image obtained by tomography, FIG. 2 shows a summary of a method of processing a tomographic image according to the related art, and FIG. 3 shows an entire process of a tomographic image according to the related art Fig.
Modern CT scanners typically digitize tens of thousands of x-ray sensor outputs in the range of 1 to 10 ksamp / sec (kilosamples per second), where each digital sample has 16 to 24 bits per sample, The total data transfer bandwidth through the slip ring is several gigabits per second (Gbps). The projection data must also be stored or buffered in real time prior to image reconstruction. The image reconstruction process is generally 10 to 20 times slower than the data acquisition process, and thus needs to be stored. Typical storage subsystems include redundant array of independent disk (RAID) drives. As the data transfer through the slip ring increases, the storage capacity and throughput of the RAID subsystem also increases.
Bandwidth demand for data delivery and data storage subsystems has exceeded 10 Gbps for increased spatial resolution, time resolution, and dynamic range. At present, the cost of the storage subsystem is as much as 40% of the material cost of medical CT systems.
Large amounts of projection data require data transfer and storage. In an automated inspection system, the higher the throughput for the objects under test, the better, because it reduces the cost for the product under test. Higher throughput increases bandwidth demand for data transfer and data storage.
The large amount of projection data obtained by the data acquisition subsystem of the CT system causes a burden on data transfer and data storage. The constraint on the data transfer bandwidth delays the availability of projection data for reconstruction and display of the scanned subject image. Compressing the projection data prior to data transfer and then decompressing the image prior to image reconstruction processing reduces the burden of system resources on data transfer and storage. Advantages of compression include reducing delay between data acquisition and image display, increasing the amount of data delivered over a communication channel with limited bandwidth, and storing and retrieving data on the network for future access and image restoration. And providing compressed projection data for transmission. Compression allows system resources to accommodate more projection data, so image restoration can be improved and / or a wider area of the subject can be scanned. Compression can also increase view acquisition rates, which is useful for imaging dynamically changing subjects such as the heart of a beating heart. The availability of computing resources to implement compression operations is also a constraint in CT systems. In order to minimize the impact on computing resources, it is desirable that compression operations be able to operate in real time with low computational complexity.
In other words, the data processing of the unit image of the conventional tomography proceeds in a compression-oriented manner in order to reduce the burden of data transfer and storage.
However, in the conventional tomographic image processing method, since the resolution of the unit image is increased, the pixel value representation period is increased, and the number of images in the interval is increasing while reducing the thickness of the unit image, There is a problem in that the capacity of the image to be displayed increases sharply and the burden of data storage due to this increases, resulting in poor processing efficiency.
SUMMARY OF THE INVENTION Accordingly, the present invention has been made to solve the above-mentioned problems occurring in the prior art, and it is an object of the present invention to minimize the data capacity of a tomographic image obtained through computerized tomography (CT) A tomographic image data processing system and a tomographic image data processing method capable of improving the data processing efficiency of an overall tomographic image by increasing the processing speed by reducing the storage capacity and allowing quick recovery of the tomographic image The purpose is to provide.
In other words, the present invention processes, stores, transmits, and queries data for an associated (sequence) image in the processing of a unit (individual) image of a tomographic image, A tomographic image data processing system and a tomographic image data processing system of a new concept capable of improving the data processing efficiency of the entire tomographic image can be achieved by reducing the amount of data and increasing the processing speed, And to provide a method.
The present invention has been made in view of the above problems, and it is an object of the present invention to provide an apparatus and method for controlling the same.
According to an aspect of the present invention, there is provided a system for processing image data obtained through tomography, the system comprising: a processor configured to receive n tomographic images and to acquire tomographic images A receiving / storing unit; An image processing unit for processing to generate a difference image having a pixel difference with respect to a time-series thermal image from a tomographic image stored in the receiving / storing unit; A compression / storage unit that compresses and stores data of the received image, and compresses and stores data of the difference image; And a restoration display unit for receiving and displaying the difference image of the compression / storage unit and the reference image of the difference image to restore and display n images.
In one aspect of the present invention, the image processing unit is configured to extract the pixel difference with respect to the time-series image based on the image classification value, the image number, the meta information of the image including the image configuration information, Do.
In one aspect of the present invention, the image processing unit generates a pixel difference value for a reference image for an n-th image number and a comparison image for an (n + 1) -th image number, It is preferable to extract the pixel difference and generate the difference image.
In one aspect of the present invention, the pixel difference extraction is performed by setting a pixel position coordinate, extracting a pixel difference value by comparing a reference image with a pixel of a comparison image at a set position coordinate, As shown in FIG.
According to one aspect of the present invention, when a plurality of position coordinates in which the pixel difference occurs are given, an initial coordinate value for a position coordinate in which a pixel difference is generated first from a reference coordinate is given, It is preferable that the coordinate value is calculated by calculating from the initial coordinate value.
In one aspect of the present invention, it is preferable that the compression / storage unit compresses and stores the n captured images and the n-1 difference images generated by the image processing unit.
In one aspect of the present invention, the restoration display unit receives the reference image of the tomographic image to be reconstructed and n-1 difference images for the reference image, and sequentially connects the reference image and n-1 difference images To reconstruct n tomographic images by integrating them.
According to another aspect of the present invention, there is provided a method for processing image data obtained through tomography, comprising: receiving tomographic images transmitted tomographed and storing a received image; A pixel difference image generating step of processing to generate a pixel difference image having a pixel difference with respect to a time-series thermal image from a tomographic image stored in the reception storing step; Compressing and storing data of the received image and compressing and storing the data of the pixel difference image; And a restoration display step of restoring and displaying n different tomographic images by receiving and combining the pixel difference image generated in the compression and storage step and the reference image for the pixel difference image, do.
In another aspect of the present invention, the pixel difference image generation step may include extracting a pixel difference with respect to a time-series image based on image classification values, image numbers, meta information of an image including image configuration information, desirable.
In another aspect of the present invention, the pixel difference image generating step may generate a pixel difference value for a reference image for the n-th image number and a comparison image for the (n + 1) -th image number, To generate a pixel difference image.
According to another aspect of the present invention, the extraction of the pixel difference image is performed by setting the position coordinates of each pixel of the image, comparing the reference image with the pixels of the comparison image at the set position coordinates, And generates a pixel difference image based only on the pixel difference value.
According to another aspect of the present invention, in the extraction of the pixel difference value, the extraction of the pixel difference value preferably includes a second extraction of the maximum value of the first-extracted pixel difference values to calculate a data storage unit.
According to another aspect of the present invention, when a plurality of the position coordinates at which the pixel difference occurs are given, ordering coordinate values for the position coordinates at which the pixel difference firstly occurs from the reference coordinates are given, It is preferable to give the ordering coordinate values based on the ordering coordinate values.
According to another aspect of the present invention, the compressing and storing step compresses and stores the received n photographed images and n-1 pixel difference images generated in the pixel difference generating step, It is preferable to have the data size assigned to the pixel difference value.
According to another aspect of the present invention, the restoration display step may include receiving a reference image of a tomographic image to be reconstructed and n-1 pixel difference images for the reference image, and outputting the reference image and n-1 pixel difference images It is preferable that n tomographic images are reconstructed and displayed by sequentially integrating them.
The tomographic image data processing system and the tomographic image data processing method according to the present invention minimize the data capacity of a tomographic image obtained through tomography to reduce processing data and storage capacity of a tomographic image, So that the data processing efficiency of the entire tomographic image can be improved by increasing the processing speed.
The effects of the present invention are not limited to those mentioned above, and other solutions not mentioned may be clearly understood by those skilled in the art from the following description.
1 is a view showing a tomographic image obtained through tomography.
2 is a view showing a summary of a method of processing tomographic image data according to the related art.
FIG. 3 is a conceptual diagram showing the entire process of tomographic image data according to the prior art.
4 is a block diagram schematically showing a configuration of a tomographic image data processing system according to the present invention.
5 is an explanatory view schematically showing an outline of a processing procedure by the tomographic image data processing system according to the present invention.
FIG. 6 is a conceptual diagram illustrating the entire process of tomographic image data according to the present invention.
7 is a flowchart showing a method of processing tomographic image data according to the present invention.
8 is an exemplary factor used in the pixel difference image generation step in the tomographic image data processing method according to the present invention, wherein (a) is an example showing a color display and a pixel value / bit, (b) Pixel position coordinates.
9 is an explanatory diagram illustrating an extraction process of a pixel difference image executed in the pixel difference image generation step in the tomographic image data processing method according to the present invention.
FIG. 10 is a table showing a comparison between the processing capacity of the tomographic image data in the conventional case and the case of the present invention.
Further objects, features and advantages of the present invention will become more apparent from the following detailed description and the accompanying drawings.
Before describing the present invention in detail, it is to be understood that the present invention is capable of various modifications and various embodiments, and the examples described below and illustrated in the drawings are intended to limit the invention to specific embodiments It is to be understood that the invention includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms "comprises" or "having" and the like refer to the presence of stated features, integers, steps, operations, elements, components, or combinations thereof, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.
Further, terms such as " part, "" unit," " module, "and the like described in the specification may mean a unit for processing at least one function or operation.
In the following description of the present invention with reference to the accompanying drawings, the same components are denoted by the same reference numerals regardless of the reference numerals, and redundant explanations thereof will be omitted. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.
Hereinafter, a tomographic image data processing system and a tomographic image data processing method according to a preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the tomographic image data processing system and tomographic image data processing method described below, implementation through a hardware configuration such as a computer including software and / or software capable of performing each component and its operation described below It will be understood by those skilled in the art that the subject matter and detailed description thereof will be omitted.
First, a tomographic image data processing system according to the present invention will be described with reference to Figs. 4 to 6. Fig. FIG. 4 is a block diagram schematically showing a configuration of a tomographic image data processing system according to the present invention, FIG. 5 is a schematic view illustrating a process outline of a tomographic image data processing system according to the present invention And FIG. 6 is a conceptual diagram showing the entire processing of the tomographic image data according to the present invention.
4 to 6, the system for processing a tomographic image according to the present invention is a system for receiving n tomographic images (images) that are tomographically transmitted and tomographic images (images) for storing received images An image (video) receiving / storing
The receiving /
The
Specifically, the
In generating the difference image in the
Here, the extraction of the pixel difference value may include extracting the maximum value of the first-extracted pixel difference values by a second extraction, and calculating and storing the data storage unit. As another example, the extraction of the pixel difference value may be performed by using a corresponding position coordinate at which a pixel difference occurs and a minimum value, an intermediate value, and a maximum value (for example, in units of bits ).
When there are a plurality of position coordinates in which a pixel difference occurs, a value (order coordinate value) for index coordinates (order coordinate values) is given to the position coordinates where the first pixel difference occurs from the reference coordinates, , The sequence coordinate values are calculated based on the sequence coordinate values. An example of this will be described in detail in the tomographic image processing method below.
Then, the compression /
The restored
Next, a method of processing a tomographic image according to the present invention will be described with reference to FIG. 7 is a flowchart showing a method of processing a tomographic image according to the present invention.
As shown in FIG. 7, the method of processing tomographic image data according to the present invention includes the steps of receiving n tomographic images (images) tomographically transmitted through CT or MR imaging, A tomographic image (image) receiving and storing step S100 for storing a tomographic image (image); A pixel difference image generating step (S200) of processing to generate a pixel difference image having a pixel difference with respect to a time-series thermal image from a tomographic image stored in the reception storing step (S100); Compressing and storing data (file) of the received image and compressing and storing data (file) of the pixel difference image generated in the pixel difference image generating step (S300); And restoring and displaying n tomographic images by transmitting and receiving the pixel difference images generated in the compression and storage step and the reference images for the pixel difference images (S400).
The receiving and storing step S100 receives and receives n (n is a natural number) images (images) obtained through tomography such as CT photographing or MR photographing and stores the received image in a file form (image file form) Store in the bay base.
Next, the pixel difference image generation step will be described with reference to Figs. 8 and 9. Fig. FIG. 8 shows an example of factors used in the pixel difference image generation step in the tomographic image data processing method according to the present invention, in which (a) shows a color display and a pixel value / bit, Pixel position coordinates. 9 is an explanatory diagram illustrating an extraction process of a pixel difference image executed in the pixel difference image generation step in the tomographic image data processing method according to the present invention.
The pixel difference image generation step S200 extracts a pixel difference with respect to the time-lapse image based on the meta information of the image including the image classification value, the image number, the image configuration information, and the pixel information of the image.
For example, the pixel difference image generation step S200 generates a pixel difference value with respect to a reference image for the n-th image number (reference image number) and a comparison image for the (n + 1) And generating a difference image by extracting a pixel difference based on the generated pixel difference value.
Here, in generating the pixel difference image, the pixel difference extraction is performed by setting the position coordinates of each pixel (refer to FIGS. 8 and 9), and calculating the pixel position of the reference image (reference image) To extract a pixel difference value in a position coordinate where a pixel difference occurs, and to generate a difference image (difference image) based only on the pixel difference value.
At this time, the extraction of the pixel difference value is performed by using a corresponding position coordinate where a pixel difference occurs and a difference between a minimum value, an intermediate value, and a maximum value (for example, a bit unit) given for white, Only the value is extracted.
For example, as shown in FIG. 9, when comparing a reference image (image) and a comparison image (image) based on 8 bit white, the position coordinates (3, 3) (4, 4) or 10th, the pixel difference is 255 and 128 in the position coordinates (3, 3) and (4, 4) based on the 8 bit white value (0) Pixel value difference occurred.
When there are a plurality of position coordinates in which pixel differences occur, a value (sequence coordinate value: +9) for index coordinates (order coordinate value) is given to the position coordinates where the first pixel difference occurs from the reference coordinates, The position coordinate value (+1 in the case of the position coordinates (4, 4)) is calculated based on the order coordinate values.
The size (1Byte = 8Bit) of the stored data is 25 pixels * 8Bit = 25Byte, and the position coordinates (3Bit = 8Bit) , The position index value 1Byte + 1 pixel 8bit = 2Byte * 2 = 4Byte in (3) and (4,4), respectively.
The thus-stored stored data is stored in the compression storage step (S300), and compresses and stores the received n photographed images and n-1 difference images (image files) generated in the pixel difference generation step.
9, the data capacity to be stored in the compression storage step S300 is 50 bytes compared to the conventional case with reference to FIG. 10, whereas the present invention has 25 bytes + 4 bytes = 29 bytes Compressing only about 3/5 of the capacity in the conventional case, and transferring the compressed data to the restoration display step to be described later. FIG. 10 is a table showing a comparison between the processing capacity of the tomographic image data in the conventional case and the case of the present invention.
Then, the restoration display step S400 receives the reference image and n-1 pixel difference images (pixel difference images) for the reference image, and sequentially integrates the reference image and the (n-1) Thereby reconstructing n tomographic images.
The data processing system and the data processing method of the tomographic image according to the present invention include processing, storing, transmitting, and querying data for an image related to (sequential) image processing of a unit (individual) image of a tomographic image, The data for associative image having a high correlation image is advantageous in that the amount of data can be reduced and the processing speed can be increased by generating and processing display data with reference data and dissimilar data.
That is, the present invention minimizes data capacity of a tomographic image obtained through computerized tomography (CT) imaging or magnetic resonance (MR) imaging to reduce processing data and storage capacity of a tomographic image, So that the processing speed can be increased and the data processing efficiency of the tomographic image can be generally improved.
The embodiments and the accompanying drawings described in the present specification are merely illustrative of some of the technical ideas included in the present invention. Accordingly, the embodiments disclosed herein are for the purpose of describing rather than limiting the technical spirit of the present invention, and it is apparent that the scope of the technical idea of the present invention is not limited by these embodiments. It will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
100: tomographic image (image) receiving / storing unit
200:
300: compression / storage unit
400: Restore Display
S100: Receiving and storing tomographic image (image)
S200: Pixel difference image generation step
S300: Compressed storage step
S400: Restoration display step
Claims (15)
a tomographic image receiving / storing unit for receiving n tomographic images and storing a received image;
An image processing unit for processing to generate a difference image having a pixel difference with respect to a time-series thermal image from a tomographic image stored in the receiving / storing unit;
A compression / storage unit that compresses and stores data of the received image, and compresses and stores data of the difference image; And
A restore display unit for receiving and displaying the difference image of the compression / storage unit and the reference image of the difference image to restore and display n images;
Wherein the tomographic image data processing system comprises:
The image processing unit is configured to extract a pixel difference with respect to a time-series thermal image based on the image classification value, the image number, the meta information of the image including the image configuration information, and the pixel information of the image
Tomographic image data processing system.
The image processing unit
a pixel difference value is generated for a reference image for an n-th image number and a comparison image for an (n + 1) -th image number, and a difference image is generated by extracting a pixel difference based on the generated pixel difference value
Tomographic image data processing system.
The pixel difference extraction is performed by setting position coordinates for each pixel, comparing the reference image with the pixels of the comparison image at the set position coordinates, extracting the pixel difference value, and the difference image being composed of the image based on the pixel difference value
Tomographic image data processing system.
If a plurality of position coordinates at which the pixel difference occurs are given, an initial coordinate value for the position coordinate at which the pixel difference first occurs from the reference coordinate is given, and for the position coordinate at which the pixel difference occurs, the initial coordinate value is calculated Configured to give coordinate values
Tomographic image data processing system.
Wherein the compression / storage unit is configured to compress and store the received n captured images and n-1 difference images generated by the image processing unit
Tomographic image data processing system.
The restoration display unit
And receives n-1 difference images of the reference image and the reference image of the tomographic image to be reconstructed, and reconstructs the n tomographic images by sequentially integrating the reference image and the n-1 difference images
Tomographic image data processing system.
A tomographic image receiving and storing step of receiving n tomographic images transmitted tomographically and storing a received image;
A pixel difference image generating step of processing to generate a pixel difference image having a pixel difference with respect to a time-series thermal image from a tomographic image stored in the reception storing step;
Compressing and storing data of the received image and compressing and storing the data of the pixel difference image; And
A restoration display step of restoring and displaying n tomographic images by receiving and combining the pixel difference images generated in the compression storage step and the reference images of the pixel difference images;
Wherein the tomographic image data comprises a plurality of tomographic images.
The pixel difference image generation step may include extracting a pixel difference with respect to a time-series thermal image based on the image classification value, the image number, the meta information of the image including the image configuration information,
A method for processing tomographic image data.
The pixel difference image generation step
a pixel difference value is generated for a reference image for the n-th image number and a comparison image for the (n + 1) -th image number, and a pixel difference based on the generated pixel difference value is extracted to generate a pixel difference image
A method for processing tomographic image data.
The extraction of the pixel difference image
The positional coordinate of each pixel of the image is set and the pixel value of the reference image is compared with the pixel of the comparative image at the set positional coordinate to extract the pixel difference value at the positional coordinate where the pixel difference occurs, doing
A method for processing tomographic image data.
The extraction of the pixel difference value includes a step of secondarily extracting a maximum value of the first-extracted pixel difference values and calculating a data storage unit
A method for processing tomographic image data.
When a plurality of position coordinates in which the pixel difference occurs are given, order coordinate values for position coordinates in which a pixel difference is generated first from the reference coordinates are given, and for position coordinates in which pixel differences occur, the position coordinate is calculated from the order coordinate values The order number
A method for processing tomographic image data.
The compressing and storing step
Compressing and storing the n captured images and the n-1 pixel difference images generated in the pixel difference generating step,
Wherein the pixel difference image is configured to have a coordinate value and a data size assigned to the pixel difference value
A method for processing tomographic image data.
The restoration display step
N-1 pixel difference images for the reference image and the reference image of the tomographic image to be reconstructed are received, and n-1 tomographic images are reconstructed and displayed by sequentially integrating the reference image and n-1 pixel difference images doing
A method for processing tomographic image data.
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| KR102015224B1 (en) * | 2018-09-18 | 2019-10-21 | (주)제이엘케이인스펙션 | Method and apparatus for diagnosing cerebral hemorrhagic and brain tumor lesions based on deep learning |
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| JPH0563991A (en) * | 1991-09-05 | 1993-03-12 | Nec Corp | Image data compressing/expanding system |
| JP2001103222A (en) * | 1999-07-12 | 2001-04-13 | Fuji Photo Film Co Ltd | Image transfer method, image transfer system and image signal output device and terminal used for it |
| JP2009136437A (en) * | 2007-12-05 | 2009-06-25 | Konica Minolta Medical & Graphic Inc | Image processing apparatus, medical image system and image processing method |
| JP2009279342A (en) * | 2008-05-26 | 2009-12-03 | Toshiba Corp | Image data supply system and image server |
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| KR20110096053A (en) | 2008-11-26 | 2011-08-26 | 샘플리파이 시스템즈 인코포레이티드 | Compression and storage of projection data in a computed tomography system |
-
2014
- 2014-05-23 KR KR1020140062583A patent/KR101594169B1/en active IP Right Grant
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2015
- 2015-05-22 WO PCT/KR2015/005181 patent/WO2015178727A1/en active Application Filing
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| JPH0563991A (en) * | 1991-09-05 | 1993-03-12 | Nec Corp | Image data compressing/expanding system |
| JP2001103222A (en) * | 1999-07-12 | 2001-04-13 | Fuji Photo Film Co Ltd | Image transfer method, image transfer system and image signal output device and terminal used for it |
| KR20100099252A (en) | 2007-12-03 | 2010-09-10 | 샘플리파이 시스템즈 인코포레이티드 | Compression and decompression of computed tomography data |
| JP2009136437A (en) * | 2007-12-05 | 2009-06-25 | Konica Minolta Medical & Graphic Inc | Image processing apparatus, medical image system and image processing method |
| JP2009279342A (en) * | 2008-05-26 | 2009-12-03 | Toshiba Corp | Image data supply system and image server |
| KR20110096053A (en) | 2008-11-26 | 2011-08-26 | 샘플리파이 시스템즈 인코포레이티드 | Compression and storage of projection data in a computed tomography system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR102015224B1 (en) * | 2018-09-18 | 2019-10-21 | (주)제이엘케이인스펙션 | Method and apparatus for diagnosing cerebral hemorrhagic and brain tumor lesions based on deep learning |
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| WO2015178727A1 (en) | 2015-11-26 |
| KR101594169B1 (en) | 2016-02-16 |
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