CN109567848B - Rack radius correction mechanism - Google Patents
Rack radius correction mechanism Download PDFInfo
- Publication number
- CN109567848B CN109567848B CN201811483059.5A CN201811483059A CN109567848B CN 109567848 B CN109567848 B CN 109567848B CN 201811483059 A CN201811483059 A CN 201811483059A CN 109567848 B CN109567848 B CN 109567848B
- Authority
- CN
- China
- Prior art keywords
- block
- image signal
- signal
- digital image
- level
- 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
- 230000007246 mechanism Effects 0.000 title claims abstract description 35
- 238000012937 correction Methods 0.000 title claims description 30
- 238000001514 detection method Methods 0.000 claims abstract description 36
- 239000003623 enhancer Substances 0.000 claims abstract description 17
- 238000000605 extraction Methods 0.000 claims abstract description 8
- 230000008859 change Effects 0.000 claims description 37
- 238000012545 processing Methods 0.000 claims description 32
- 238000001914 filtration Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 12
- 238000000034 method Methods 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 6
- 238000003384 imaging method Methods 0.000 claims description 4
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000002591 computed tomography Methods 0.000 description 26
- 238000003745 diagnosis Methods 0.000 description 7
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000003325 tomography Methods 0.000 description 3
- 210000004556 brain Anatomy 0.000 description 2
- 125000004122 cyclic group Chemical group 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 208000003174 Brain Neoplasms Diseases 0.000 description 1
- 206010051290 Central nervous system lesion Diseases 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- 208000030886 Traumatic Brain injury Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003902 lesion Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/032—Transmission computed tomography [CT]
- A61B6/035—Mechanical aspects of CT
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/44—Constructional features of apparatus for radiation diagnosis
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Radiology & Medical Imaging (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- High Energy & Nuclear Physics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Pulmonology (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a machine frame radius correcting mechanism, which comprises: the analog-to-digital converter is arranged between the detector and the computer and used for converting an analog signal output by the detector into a digital signal and then sending the digital signal to the computer; the digital-to-analog converter is arranged between the contrast enhancer and the display and is used for converting the digital image signal output by the contrast enhancer into an analog image signal and then sending the analog image signal to the display; the contrast intensifier is connected with the computer, the display is connected with the camera, and the detector is used for receiving ray signals; the radius extraction device is connected with the pelvic cavity identification device and used for determining a detection radius which is in direct proportion to the area based on the area of the pelvic cavity region; and the rack scaling equipment is respectively connected with the CT rack and the radius extraction equipment and is used for scaling the CT rack based on the detection radius so that the radial length of the CT rack after scaling operation is equal to the detection radius. By the invention, the self-adaptive scaling of the CT frame is realized.
Description
Technical Field
The invention relates to the field of CT (computed tomography) frames, in particular to a mechanism for correcting a radius of a frame.
Background
CT gantry has been widely used in clinic because of its particular diagnostic value. However, CT is expensive, the examination cost is high, and some parts have examination and diagnosis values, especially qualitative diagnosis, and certain limits, so that CT is not suitable to be regarded as a conventional diagnosis means, and should be reasonably selected and applied on the basis of understanding the advantages of CT.
With the development of the technological level and the computer technology, the CT frame is developed rapidly. The practical models of multi-row spiral CT have been developed to 320 rows, and more advanced flat CT is being researched by various manufacturers. The product PET/CT combining CT and PET is generally applied clinically, and particularly has high application value in the diagnosis of tumors.
Disclosure of Invention
In order to solve the technical problem that a CT (computed tomography) rack for tomography is generally of a fixed radius structure in the prior art, the invention provides a rack radius correction mechanism, which is used for carrying out self-adaptive scaling operation on the radius of the CT rack based on the pelvic cavity area of a patient detected in real time; in specific image processing, when the instantaneous gray scale change level of an image does not exceed a preset level threshold, cyclic gray scale change level promotion processing is performed on the image until the acquired instantaneous gray scale change level of the processed image exceeds the preset level threshold.
According to an aspect of the present invention, there is provided a gantry radius correction mechanism, the mechanism comprising:
the analog-to-digital converter is arranged between the detector and the computer and used for converting an analog signal output by the detector into a digital signal and then sending the digital signal to the computer; the digital-to-analog converter is arranged between the contrast enhancer and the display and is used for converting the digital image signal output by the contrast enhancer into an analog image signal and then sending the analog image signal to the display; the contrast intensifier is connected with the computer, the display is connected with the camera, and the detector is used for receiving ray signals; the radius extraction device is connected with the pelvic cavity identification device and used for receiving a pelvic cavity region and determining a detection radius which is in direct proportion to the area based on the area of the pelvic cavity region; the rack scaling equipment is respectively connected with the CT rack and the radius extraction equipment and is used for scaling the CT rack based on the detection radius so that the radial length of the CT rack after scaling operation is equal to the detection radius; the content detection device is connected with the contrast enhancer and is used for detecting a maximum target in the digital image signal output by the contrast enhancer, taking the area occupied by the maximum target in the digital image signal as a target image area corresponding to the digital image signal, performing gray level change level analysis on the target image area to obtain a corresponding instant gray level change level, and outputting the instant gray level change level; the signal distinguishing device is connected with the content detection device and used for receiving the instant gray level change level, sending a first control signal when the instant gray level change level does not exceed a preset level threshold value, and sending a second control signal when the instant gray level change level exceeds the preset level threshold value; the MCU controller is respectively connected with the signal identification device and the content detection device and is used for executing circulating gray level change level promotion processing on the digital image signal when receiving a first control signal until the instant gray level change level of the obtained processed image exceeds a preset level threshold value and outputting the obtained processed image as a signal execution image; the pelvic cavity identification device is connected with the MCU controller and is used for receiving the signal execution image and carrying out pelvic cavity identification operation on the signal execution image based on preset pelvic cavity imaging characteristics so as to obtain a pelvic cavity region in the signal execution image; the content detection device comprises a content receiving sub-device, a target dividing sub-device, a grade analysis sub-device and a data output sub-device; wherein, in the content detection device, the content receiving sub-device is configured to receive the digital image signal, and the object segmentation sub-device is connected to the content receiving sub-device and is configured to take an area occupied by the maximum object in the digital image signal as an object image area corresponding to the digital image signal.
More specifically, in the gantry radius correction mechanism: in the content detection device, the level analysis sub-device is respectively connected to the target segmentation sub-device and the data output sub-device, and is configured to perform gray level change level analysis on the target image area to obtain a corresponding instantaneous gray level change level.
More specifically, in the gantry radius correction mechanism: and the MCU controller is also used for outputting the digital image signal as a signal to execute image output when receiving a second control signal.
More specifically, in the gantry radius correction mechanism, further comprising:
and the block-by-block processing device is respectively connected with the content detection device and the contrast enhancer and is used for receiving the digital image signal, analyzing the noise in the digital image signal to obtain the amplitudes of various noises, determining the quality level of the digital image signal based on the amplitudes of various noises, averagely dividing the digital image signal into blocks with the sizes of corresponding blocks based on the distance between the quality level and a preset lower limit quality level when the quality level is lower than or equal to the preset lower limit quality level, selecting corresponding recursive filtering processing with different times based on the pixel value variance of each block to obtain filtering blocks, and combining the obtained filtering blocks to obtain a block-by-block processed image.
More specifically, in the gantry radius correction mechanism: and the block-by-block processing equipment is also used for performing single recursive filtering processing on the whole digital image signal to obtain a single block-by-block processed image when the quality level is higher than a preset lower limit quality level, and replacing the digital image signal with the block-by-block processed image to send to the content detection equipment.
More specifically, in the gantry radius correction mechanism: selecting corresponding different numbers of recursive filtering processes based on the variance of the pixel values of the block to obtain a filtered block comprises: for each block, the smaller the variance of the pixel values of the block, the more recursive filtering processing is selected.
More specifically, the gantry radius correction mechanism further includes:
and the frequency division duplex communication equipment is connected with the block-by-block processing equipment and used for receiving the block-by-block processed images and wirelessly transmitting the block-by-block processed images through a bidirectional frequency division duplex communication link.
More specifically, in the gantry radius correction mechanism: the block-by-block processing equipment is a non-chip ROM type MCU chip which is externally connected with an EPROM chip.
More specifically, in the gantry radius correction mechanism: the block-by-block processing device is connected with the frequency division duplex communication device through a parallel communication interface.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic external view of a CT gantry of a gantry radius correction mechanism according to an embodiment of the present invention.
Detailed Description
An embodiment of the gantry radius correction mechanism of the present invention will be described in detail below with reference to the accompanying drawings.
A CT gantry is a technique in which X-rays are irradiated from multiple directions along a selected slice plane of the head, the amount of transmitted X-rays is measured, the amount is digitized, and the absorption coefficient per unit volume of the tissue of the slice plane is calculated by a computer, and then an image is reconstructed. The diagnosis method has the advantages of good image quality, high diagnosis value, no wound, no pain and no danger.
He enables the reconstruction of various layer structures of the brain at any depth or at any angle, showing the location of sequelae of brain trauma, lesions, brain tumors and other brain lesions, thus enabling the diagnosis of causes of behavioral changes of a person at the brain level by means of a tomographic scanner.
At present, the multi-layer spiral CT is widely applied to scientific research and clinical fields. Compared with the traditional tomography, the method has the advantages of large scanning range, good image quality, high imaging speed and the like.
In order to overcome the defects, the invention builds a machine frame radius correcting mechanism, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic external view of a CT gantry of a gantry radius correction mechanism according to an embodiment of the present invention.
The gantry radius correction mechanism shown according to an embodiment of the present invention includes:
the analog-to-digital converter is arranged between the detector and the computer and used for converting an analog signal output by the detector into a digital signal and then sending the digital signal to the computer;
the digital-to-analog converter is arranged between the contrast enhancer and the display and is used for converting the digital image signal output by the contrast enhancer into an analog image signal and then sending the analog image signal to the display;
the contrast intensifier is connected with the computer, the display is connected with the camera, and the detector is used for receiving ray signals;
the radius extraction device is connected with the pelvic cavity identification device and used for receiving a pelvic cavity region and determining a detection radius which is in direct proportion to the area based on the area of the pelvic cavity region;
the rack scaling equipment is respectively connected with the CT rack and the radius extraction equipment and is used for scaling the CT rack based on the detection radius so that the radial length of the CT rack after scaling operation is equal to the detection radius;
the content detection device is connected with the contrast enhancer and is used for detecting a maximum target in the digital image signal output by the contrast enhancer, taking the area occupied by the maximum target in the digital image signal as a target image area corresponding to the digital image signal, performing gray level change level analysis on the target image area to obtain a corresponding instant gray level change level, and outputting the instant gray level change level;
the signal distinguishing device is connected with the content detection device and used for receiving the instant gray level change level, sending a first control signal when the instant gray level change level does not exceed a preset level threshold value, and sending a second control signal when the instant gray level change level exceeds the preset level threshold value;
the MCU controller is respectively connected with the signal identification device and the content detection device and is used for executing circulating gray level change level promotion processing on the digital image signal when receiving a first control signal until the instant gray level change level of the acquired processed image exceeds a preset level threshold value, and outputting the acquired processed image as a signal execution image;
the pelvic cavity identification equipment is connected with the MCU controller and is used for receiving the signal execution image and carrying out pelvic cavity identification operation on the signal execution image on the basis of preset pelvic cavity imaging characteristics so as to obtain a pelvic cavity region in the signal execution image;
the content detection device comprises a content receiving sub-device, a target dividing sub-device, a grade analysis sub-device and a data output sub-device;
wherein, in the content detection device, the content receiving sub-device is configured to receive the digital image signal, and the object segmentation sub-device is connected to the content receiving sub-device and is configured to take an area occupied by the maximum object in the digital image signal as an object image area corresponding to the digital image signal.
Next, a specific configuration of the gantry radius correction mechanism of the present invention will be further described.
In the gantry radius correction mechanism: in the content detection device, the level analysis sub-device is respectively connected to the target segmentation sub-device and the data output sub-device, and is configured to perform gray level change level analysis on the target image area to obtain a corresponding instantaneous gray level change level.
In the gantry radius correction mechanism: and the MCU controller is also used for outputting the digital image signal as a signal to execute image output when receiving a second control signal.
In the gantry radius correction mechanism, further comprising:
and the block-by-block processing device is respectively connected with the content detection device and the contrast enhancer and is used for receiving the digital image signal, analyzing the noise in the digital image signal to obtain the amplitudes of various noises, determining the quality level of the digital image signal based on the amplitudes of various noises, averagely dividing the digital image signal into blocks with the sizes of corresponding blocks based on the distance between the quality level and a preset lower limit quality level when the quality level is lower than or equal to the preset lower limit quality level, selecting corresponding recursive filtering processing with different times based on the pixel value variance of each block to obtain filtering blocks, and combining the obtained filtering blocks to obtain a block-by-block processed image.
In the gantry radius correction mechanism: the block-by-block processing device is further configured to, when the quality level is higher than a preset lower-limit quality level, perform single recursive filtering processing on the digital image signal as a whole to obtain a single block-by-block processed image, and replace the digital image signal with the block-by-block processed image and send the digital image signal to the content detection device.
In the gantry radius correction mechanism: selecting corresponding different times of recursive filtering processing based on the variance of the pixel values of the block to obtain a filtered block comprises: for each block, the smaller the variance of the pixel values of the block, the more recursive filtering processing is selected.
In the gantry radius correction mechanism, further comprising:
and the frequency division duplex communication equipment is connected with the block-by-block processing equipment and used for receiving the block-by-block processed images and wirelessly transmitting the block-by-block processed images through a bidirectional frequency division duplex communication link.
In the gantry radius correction mechanism: the block-by-block processing equipment is a non-chip ROM type MCU chip which is externally connected with an EPROM chip.
In the gantry radius correction mechanism: the block-by-block processing device is connected with the frequency division duplex communication device through a parallel communication interface.
In addition, a Micro Control Unit (MCU), also called a Single Chip Microcomputer (Single Chip Microcomputer) or a Single Chip Microcomputer (MCU), properly reduces the frequency and specification of a Central Processing Unit (CPU), and integrates peripheral interfaces such as a memory (memory), a counter (Timer), a USB, an a/D converter, a UART, a PLC, a DMA, and the like, and even an LCD driving circuit on a Single Chip to form a Chip-level computer, which is controlled in different combinations for different applications. Such as mobile phones, PC peripherals, remote controls, to automotive electronics, industrial stepper motors, robotic arm controls, etc., see the silhouette of the MCU. The 32-bit MCU can be said to be the mainstream of the MCU market, the price of a single MCU is between 1.5 and 4 dollars, the working frequency is mostly between 100 and 350MHz, the execution efficiency is better, and the application types are also multiple. However, the length of the program code with the same function of the 32-bit MCU is increased by 30-40% compared with that of the 8/16-bit MCU due to the increase of the operand and the length of the memory, so that the capacity of the embedded OTP/FlashROM memory cannot be too small, the number of external pins of a chip is greatly increased, and the cost reduction capability of the 32-bit MCU is further limited.
By adopting the machine frame radius correcting mechanism, aiming at the technical problem that the CT machine frame used for tomography in the prior art is generally in a fixed radius structure, the radius of the CT machine frame is subjected to self-adaptive scaling operation based on the pelvic cavity area of a patient detected in real time; in the specific image processing, when the instant gray scale change level of the image does not exceed a preset level threshold, executing cyclic gray scale change level promotion processing on the image until the obtained instant gray scale change level of the processed image exceeds the preset level threshold; thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (5)
1. A frame radius correction mechanism, comprising:
the analog-to-digital converter is arranged between the detector and the computer and used for converting an analog signal output by the detector into a digital signal and then sending the digital signal to the computer;
the digital-to-analog converter is arranged between the contrast enhancer and the display and is used for converting the digital image signal output by the contrast enhancer into an analog image signal and then sending the analog image signal to the display;
the contrast intensifier is connected with the computer, the display is connected with the camera, and the detector is used for receiving ray signals;
the radius extraction device is connected with the pelvic cavity identification device and used for receiving a pelvic cavity region and determining a detection radius which is in direct proportion to the area based on the area of the pelvic cavity region;
the rack scaling equipment is respectively connected with the CT rack and the radius extraction equipment and is used for scaling the CT rack based on the detection radius so that the radial length of the CT rack after scaling operation is equal to the detection radius;
the content detection device is connected with the contrast enhancer and is used for detecting a maximum target in the digital image signal output by the contrast enhancer, taking the area occupied by the maximum target in the digital image signal as a target image area corresponding to the digital image signal, performing gray level change level analysis on the target image area to obtain a corresponding instant gray level change level, and outputting the instant gray level change level;
the signal identification device is connected with the content detection device and is used for receiving the instant gray scale change level, sending a first control signal when the instant gray scale change level does not exceed a preset level threshold value, and sending a second control signal when the instant gray scale change level exceeds the preset level threshold value;
the MCU controller is respectively connected with the signal identification device and the content detection device and is used for executing circulating gray level change level promotion processing on the digital image signal when receiving a first control signal until the instant gray level change level of the acquired processed image exceeds a preset level threshold value, and outputting the acquired processed image as a signal execution image;
the pelvic cavity identification device is connected with the MCU controller and is used for receiving the signal execution image and carrying out pelvic cavity identification operation on the signal execution image based on preset pelvic cavity imaging characteristics so as to obtain a pelvic cavity region in the signal execution image;
the content detection device comprises a content receiving sub-device, a target dividing sub-device, a grade analysis sub-device and a data output sub-device;
wherein, in the content detection device, the content receiving sub-device is configured to receive the digital image signal, and the object segmentation sub-device is connected to the content receiving sub-device and configured to take an area occupied by the largest object in the digital image signal as an object image area corresponding to the digital image signal;
in the content detection device, the level analysis sub-device is respectively connected to the target segmentation sub-device and the data output sub-device, and is configured to perform gray level change level analysis on the target image area to obtain a corresponding instant gray level change level;
the MCU controller is also used for outputting the digital image signal as a signal execution image when receiving a second control signal;
a block-by-block processing device, connected to the content detection device and the contrast enhancer, respectively, for receiving the digital image signal, analyzing noise in the digital image signal to obtain amplitudes of various noises, determining a quality level of the digital image signal based on the amplitudes of the various noises, when the quality level is lower than or equal to a preset lower limit quality level, equally dividing the digital image signal into blocks of corresponding block sizes based on a distance from the quality level to the preset lower limit quality level, for each block, selecting corresponding recursive filtering processing of different times based on a pixel value variance of the block to obtain filtering blocks, and combining the obtained filtering blocks to obtain a block-by-block processed image;
the block-by-block processing device is further configured to, when the quality level is higher than a preset lower-limit quality level, perform single recursive filtering processing on the digital image signal as a whole to obtain a single block-by-block processed image, and replace the digital image signal with the block-by-block processed image and send the digital image signal to the content detection device.
2. The gantry radius correction mechanism of claim 1, wherein:
selecting corresponding different numbers of recursive filtering processes based on the variance of the pixel values of the block to obtain a filtered block comprises: for each block, the smaller the variance of the pixel values of the block, the more the number of recursive filtering processes is selected.
3. The gantry radius correction mechanism of claim 2, further comprising:
and the frequency division duplex communication equipment is connected with the block-by-block processing equipment and used for receiving the block-by-block processed images and wirelessly transmitting the block-by-block processed images through a bidirectional frequency division duplex communication link.
4. The gantry radius correction mechanism of claim 3, wherein:
the block-by-block processing equipment is a non-chip ROM type MCU chip which is externally connected with an EPROM chip.
5. The gantry radius correction mechanism of claim 4, wherein:
the block-by-block processing device is connected with the frequency division duplex communication device through a parallel communication interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811483059.5A CN109567848B (en) | 2018-12-05 | 2018-12-05 | Rack radius correction mechanism |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811483059.5A CN109567848B (en) | 2018-12-05 | 2018-12-05 | Rack radius correction mechanism |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109567848A CN109567848A (en) | 2019-04-05 |
| CN109567848B true CN109567848B (en) | 2022-08-30 |
Family
ID=65927202
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811483059.5A Active CN109567848B (en) | 2018-12-05 | 2018-12-05 | Rack radius correction mechanism |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109567848B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040262525A1 (en) * | 2003-06-30 | 2004-12-30 | Yunker David A | Nuclear medicine gantry and method |
| CN2796650Y (en) * | 2005-03-31 | 2006-07-19 | 西门子（中国）有限公司 | Computer tomography system capable of regulating distance of focus to detector |
| CN1950868A (en) * | 2004-08-24 | 2007-04-18 | 富士通日立等离子显示器股份有限公司 | Image display apparatus and method for driving the same |
| CN102436647A (en) * | 2011-11-14 | 2012-05-02 | 江苏技术师范学院 | Image enhancement method based on adaptive gray mapping |
| CN106973196A (en) * | 2015-09-25 | 2017-07-21 | 佳能株式会社 | Imaging sensor, image capture method and picture pick-up device |
-
2018
- 2018-12-05 CN CN201811483059.5A patent/CN109567848B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040262525A1 (en) * | 2003-06-30 | 2004-12-30 | Yunker David A | Nuclear medicine gantry and method |
| CN1950868A (en) * | 2004-08-24 | 2007-04-18 | 富士通日立等离子显示器股份有限公司 | Image display apparatus and method for driving the same |
| CN2796650Y (en) * | 2005-03-31 | 2006-07-19 | 西门子（中国）有限公司 | Computer tomography system capable of regulating distance of focus to detector |
| CN102436647A (en) * | 2011-11-14 | 2012-05-02 | 江苏技术师范学院 | Image enhancement method based on adaptive gray mapping |
| CN106973196A (en) * | 2015-09-25 | 2017-07-21 | 佳能株式会社 | Imaging sensor, image capture method and picture pick-up device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109567848A (en) | 2019-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100374080C (en) | Method and apparatus for truncation and compensation | |
| US10213179B2 (en) | Tomography apparatus and method of reconstructing tomography image | |
| JP5789080B2 (en) | Active electronic medical record based support system using learning machine | |
| KR101578770B1 (en) | Apparatus por processing a medical image and method for processing a medical image | |
| US7623615B2 (en) | X-ray CT image reconstruction method and X-ray CT system | |
| US8532357B2 (en) | Method and apparatus for reducing image artifacts | |
| JP4740558B2 (en) | System and method for analyzing abnormality of object | |
| EP3247275B1 (en) | Tomography imaging apparatus and method | |
| CN105792754B (en) | Method and system for axially segmenting positron emission tomography data | |
| EP3326533B1 (en) | Tomographic device and tomographic image processing method according to same | |
| US20160292849A1 (en) | Tomography apparatus and method of processing tomography image | |
| US11610347B2 (en) | Tomographic image processing apparatus and method | |
| US11896433B2 (en) | Ultrasound determination of dynamic air bronchogram and associated devices, systems, and methods | |
| EP3680860A1 (en) | Tomographic imaging apparatus and method of generating tomographic image | |
| US20200077969A1 (en) | Medical imaging device and medical image processing method | |
| US20200240934A1 (en) | Tomography apparatus and controlling method for the same | |
| CN109567848B (en) | Rack radius correction mechanism | |
| US11158093B2 (en) | Workstation, medical imaging device including same, and control method therefor | |
| CN104000618A (en) | Breathing movement gating correction technology implemented with ring true photon number gating method | |
| EP3553749A1 (en) | Apparatus and method for generating tomography image | |
| US7848551B2 (en) | Method and system for analysis of bone density | |
| EP3648062B1 (en) | Workstation, medical imaging device including same, and control method therefor | |
| CN108242066B (en) | Device and method for enhancing spatial resolution of CT image and CT imaging system | |
| KR20170109519A (en) | Nuclear medical image analysis technique | |
| CN109567849B (en) | Positron emission CT imager |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211115 Address after: 315400 Di Tang Jie Dao Gao Qing Wan Cun, Yuyao City, Ningbo City, Zhejiang Province Applicant after: Ningbo Shunchao Bearing Co.,Ltd. Address before: 315412 No. 6, Park 2 Road, Sanqi Industrial Park, Sanqi Town, Yuyao City, Ningbo City, Zhejiang Province Applicant before: NINGBO KEFAN ELECTRIC Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220808 Address after: 200000 Room 903, floor 9, building C (Building 3), No. 999, Jinzhong Road, Changning District, Shanghai Applicant after: Shanghai Lianying Intelligent Medical Investment Management Co.,Ltd. Address before: 315400 HD Bay Village, Yuyao Town, Yuyao, Zhejiang Applicant before: Ningbo Shunchao Bearing Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |