CN109350104A - Matrix size decision system - Google Patents

Matrix size decision system Download PDF

Info

Publication number
CN109350104A
CN109350104A CN201811485083.2A CN201811485083A CN109350104A CN 109350104 A CN109350104 A CN 109350104A CN 201811485083 A CN201811485083 A CN 201811485083A CN 109350104 A CN109350104 A CN 109350104A
Authority
CN
China
Prior art keywords
image
region
equipment
liver
connect
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.)
Pending
Application number
CN201811485083.2A
Other languages
Chinese (zh)
Inventor
张峰
刘超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ningbo Shunchao Bearing Co ltd
Original Assignee
Ningbo Kefan Electrical Appliances Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ningbo Kefan Electrical Appliances Co Ltd filed Critical Ningbo Kefan Electrical Appliances Co Ltd
Priority to CN201811485083.2A priority Critical patent/CN109350104A/en
Publication of CN109350104A publication Critical patent/CN109350104A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computed tomography [CT]
    • A61B6/032Transmission computed tomography [CT]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/04Positioning of patients; Tiltable beds or the like
    • A61B6/0407Supports, e.g. tables or beds, for the body or parts of the body
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/44Constructional features of apparatus for radiation diagnosis
    • A61B6/4411Constructional features of apparatus for radiation diagnosis the apparatus being modular
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Optics & Photonics (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (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)
  • Computer Vision & Pattern Recognition (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)

Abstract

The present invention relates to a kind of matrix size decision systems, comprising: high pressure generator is connect with X-ray tube, for generating high pressure, and by the high-voltage transmission of generation to the X-ray tube;Portal frame, interior be equipped with tilt forward and back equipment, rotating machinery and detector, and the equipment that tilts forward and back is connect with the rotating machinery;The high pressure generator makes the electronics in the X-ray tube reach the anode of the X-ray tube from the filament of the X-ray tube;Matrix Decision-making equipment is connect with liver analytical equipment, for receiving liver's area reference, and determines the reconstruction image matrix size directly proportional to liver's area reference;Image reconstruction device is connect with the Matrix Decision-making equipment, for executing subsequent image reconstruction movement based on the reconstruction image matrix size received, to obtain new x-ray transmission image.Through the invention, the effective guarantee reconstruction image clarity of all size liver.

Description

Matrix size decision system
Technical field
The present invention relates to liver's scanning machine field more particularly to a kind of matrix size decision systems.
Background technique
Liver's scanning machine is a certain cross-section image of abdomen, needs to be scanned according to the region of anatomy of each internal organs.CT can be shown Show liver profile, size, density and internal structure.Normal liver even density, CT value is 40-70H, higher than spleen.Different layers On face, each leaf of shown liver, the size of section, shape are different.If hepatic portal is with layer, it can show that " H " shape low-density is band-like Shadow.Right lobe is fossa of gallbladder, and left lobe is ligamentum falciforme hepatis, and centre is hepatic portal, includes arteria hepatica, portal vein and common hepatic duct.Zuo Zong Splitting left side is lobus sinister, is lobus dexter on the right side of right lobe, two split between be quadrate lope in front of hepatic portal, hepatic portal rear is caudal lobe.
Summary of the invention
In order to solve the reconstruction figure that liver's scanning machine in the prior art uses different size human body liver same size As the technical issues of matrix, the present invention provides a kind of matrix size decision systems.
The present invention at least has the important inventive point of following two: (1) based on the image before and after geometric mean filtering processing Parameter compares, it is determined whether to treated, image executes same treatment again;(2) the human body liver size based on scanning shoot Reference value selects directly proportional reconstruction image matrix size, to guarantee the clear of reconstruction image while saving and scanning resource Degree.
According to an aspect of the present invention, a kind of matrix size decision system is provided, the system comprises:
High pressure generator is connect with X-ray tube, for generating high pressure, and by the high-voltage transmission of generation to the X-ray tube;Dragon Door frame, interior be equipped with tilt forward and back equipment, rotating machinery and detector, and the equipment that tilts forward and back is connect with the rotating machinery; The high pressure generator makes the electronics in the X-ray tube reach the anode of the X-ray tube from the filament of the X-ray tube;
Matrix Decision-making equipment is connect with liver analytical equipment, for receiving liver's area reference, and it is determining with the liver The directly proportional reconstruction image matrix size of portion's area reference;Image reconstruction device connect with the Matrix Decision-making equipment, is used for Subsequent image reconstruction movement is executed based on the reconstruction image matrix size received, to obtain new x-ray transmission image;Geometry Mean filter equipment executes geometric mean filtering processing to the x-ray transmission image, to obtain for receiving x-ray transmission image And export corresponding geometric mean filtering image;Region obtains equipment, connect with the geometric mean filter apparatus, for receiving The geometric mean filtering image identifies the quantity of the target in the geometric mean filtering image, the number based on the target Amount executes the uniform formula region segmentation to the geometric mean filtering image, to obtain each first image-region, wherein described The quantity of target is more, and the quantity of pixel occupied by each first image-region of acquisition is fewer;The region obtains Equipment is also used to receive the x-ray transmission image, executes to the x-ray transmission image identical as the geometric mean filtering image The uniform formula region segmentation of size, to obtain each second image-region;Disturbance degree identification apparatus obtains equipment with the region Connection, obtains the disturbance degree of the chromatic component of each the first image-region, obtain the coloration of each the second image-region at The disturbance degree divided, the entire effect of the geometric mean filtering image is determined based on each disturbance degree of each first image-region Degree, the entire effect degree of the x-ray transmission image is determined based on each disturbance degree of each second image-region, wherein image Chromatic component disturbance degree be image tonal content in noise widely distributed degree;Subsequent processing device, respectively with institute It states geometric mean filter apparatus to connect with the disturbance degree identification apparatus, for the entire effect degree in the x-ray transmission image When being less than or equal to limitation with the difference of the entire effect degree of the geometric mean filtering image, again to the geometric mean filtering image Secondary execution geometric mean filtering processing, to obtain subsequent processing image;Liver's analytical equipment connects with the subsequent processing device It connects, for being partitioned into liver's subgraph from the subsequent processing image based on liver's imaging features, and based on liver's The area that image occupies determines liver's area reference.
More specifically, in the matrix size decision system: the subsequent processing device is also used to transmit in the x-ray It is when the difference of the entire effect degree of the entire effect degree of image and the geometric mean filtering image is greater than limitation, the geometry is equal Value filtering image is exported as subsequent processing image.
More specifically, in the matrix size decision system, further includes:
Data sharpening equipment is connect with the subsequent processing device, for receiving the subsequent processing image, after described Continuous processing image executes data sharpening processing, with image after being sharpened.
More specifically, in the matrix size decision system, further includes:
Profile identification apparatus is connect with the data sharpening equipment, bright based on presetting for receiving image after the sharpening It spends threshold value and object outline identification is executed to image after the sharpening, to obtain one or more objects after the sharpening in image Profile.
More specifically, in the matrix size decision system, further includes:
Area analysis equipment is connect with the profile identification apparatus, for receiving one or more of object outlines, and When the ratio of image area after the area that object outline surrounds occupies the sharpening is more than preset ratio threshold value, it is described right to determine As the corresponding object of profile is effective object.
More specifically, in the matrix size decision system, further includes:
Object extraction equipment is connect, for receiving respectively with liver's analytical equipment and the area analysis equipment The effective object of one or more of image after sharpening is stated, and one or more of effective objects are carried out based on object depth Sequence from big to small, the region that effective object that object depth ranks behind is occupied in image after the sharpening as to Analyzed area is exported with replacing the subsequent processing image to liver's analytical equipment.
More specifically, in the matrix size decision system: effective object that object depth is ranked behind is described The region occupied in image after sharpening as region to be analyzed output include: object depth is ranked behind it is one or more The region that multiple effective objects of a effective number of objects half occupy in image after the sharpening is defeated as region to be analyzed Out.
More specifically, in the matrix size decision system, further includes:
FLASH storage chip is connect, for storing respectively with the area analysis equipment and the object extraction equipment State predetermined luminance threshold value and the preset ratio threshold value.
More specifically, in the matrix size decision system: object depth being ranked behind one or more of The region that multiple effective objects of effective number of objects half occupy in image after the sharpening includes: as region to be analyzed When one or more of effective number of objects are one, directly by one or more of effective number of objects described sharp The region occupied in image after change is exported as region to be analyzed.
Specific embodiment
The embodiment of matrix size decision system of the invention will be described in detail below.
Liver's scanning machine takes advanced in use, patient lies supine upon on examination couch, and human body long axis is consistent with bed surface long axis, Both hands are placed in body both sides or front.Coil horizontal axis center is directed at navel and xiphoid-process line midpoint, and positioning is opened in mobile bed surface position Lamp makes the intersection point in length and breadth of CROSS LASER LIGHT be directed at navel and xiphoid-process line midpoint, i.e., using hub of a spool as acquisition center, locking bit It sets, and send to magnetic field center.
In order to overcome above-mentioned deficiency, the present invention has built a kind of matrix size decision system, can effectively solve the problem that corresponding Technical problem.
The matrix size decision system shown according to an embodiment of the present invention includes:
High pressure generator is connect with X-ray tube, for generating high pressure, and by the high-voltage transmission of generation to the X-ray tube;
Portal frame, interior be equipped with tilts forward and back equipment, rotating machinery and detector, described to tilt forward and back equipment and the rotation Mechanical connection;
The high pressure generator makes the electronics in the X-ray tube reach the sun of the X-ray tube from the filament of the X-ray tube Pole;
Matrix Decision-making equipment is connect with liver analytical equipment, for receiving liver's area reference, and it is determining with the liver The directly proportional reconstruction image matrix size of portion's area reference;
Image reconstruction device is connect with the Matrix Decision-making equipment, for based on the reconstruction image matrix size received Subsequent image reconstruction movement is executed, to obtain new x-ray transmission image;
Geometric mean filter apparatus executes geometric mean filter to the x-ray transmission image for receiving x-ray transmission image Wave processing, to obtain and export corresponding geometric mean filtering image;
Region obtains equipment, connect with the geometric mean filter apparatus, for receiving the geometric mean filtering image, The quantity for identifying the target in the geometric mean filtering image, the quantity based on the target, which executes, filters the geometric mean The uniform formula region segmentation of wave image, to obtain each first image-region, wherein the quantity of the target is more, acquisition The quantity of pixel occupied by each first image-region is fewer;
The region obtains equipment and is also used to receive the x-ray transmission image, to the x-ray transmission image execute with it is described The uniform formula region segmentation of the identical size of geometric mean filtering image, to obtain each second image-region;
Disturbance degree identification apparatus obtains equipment with the region and connect, obtain the coloration of each the first image-region at The disturbance degree divided, obtains the disturbance degree of the chromatic component of each the second image-region, based on each of each first image-region A disturbance degree determines the entire effect degree of the geometric mean filtering image, each disturbance degree based on each second image-region Determine the entire effect degree of the x-ray transmission image, wherein the disturbance degree of the chromatic component of image is in the tonal content of image The widely distributed degree of noise;
Subsequent processing device connect with the geometric mean filter apparatus and the disturbance degree identification apparatus respectively, is used for It is less than or equal to limit in the difference of the entire effect degree of the entire effect degree and geometric mean filtering image of the x-ray transmission image When amount, geometric mean filtering processing is executed again to the geometric mean filtering image, to obtain subsequent processing image;
Liver's analytical equipment is connect with the subsequent processing device, for based on liver's imaging features from it is described it is subsequent from It is partitioned into liver's subgraph in reason image, and the area occupied based on liver's subgraph determines liver's area reference.
Then, continue that the specific structure of matrix size decision system of the invention is further detailed.
In the matrix size decision system: the subsequent processing device is also used in the whole of the x-ray transmission image When the difference of the entire effect degree of body disturbance degree and the geometric mean filtering image is greater than limitation, the geometric mean is filtered and is schemed As being exported as subsequent processing image.
In the matrix size decision system, further includes:
Data sharpening equipment is connect with the subsequent processing device, for receiving the subsequent processing image, after described Continuous processing image executes data sharpening processing, with image after being sharpened.
In the matrix size decision system, further includes:
Profile identification apparatus is connect with the data sharpening equipment, bright based on presetting for receiving image after the sharpening It spends threshold value and object outline identification is executed to image after the sharpening, to obtain one or more objects after the sharpening in image Profile.
In the matrix size decision system, further includes:
Area analysis equipment is connect with the profile identification apparatus, for receiving one or more of object outlines, and When the ratio of image area after the area that object outline surrounds occupies the sharpening is more than preset ratio threshold value, it is described right to determine As the corresponding object of profile is effective object.
In the matrix size decision system, further includes:
Object extraction equipment is connect, for receiving respectively with liver's analytical equipment and the area analysis equipment The effective object of one or more of image after sharpening is stated, and one or more of effective objects are carried out based on object depth Sequence from big to small, the region that effective object that object depth ranks behind is occupied in image after the sharpening as to Analyzed area is exported with replacing the subsequent processing image to liver's analytical equipment.
In the matrix size decision system: effective object that object depth is ranked behind image after the sharpening In the region that occupies as region to be analyzed output include: one or more of effective objects that object depth ranks behind The region that multiple effective objects of quantity half occupy in image after the sharpening is exported as region to be analyzed.
In the matrix size decision system, further includes:
FLASH storage chip is connect, for storing respectively with the area analysis equipment and the object extraction equipment State predetermined luminance threshold value and the preset ratio threshold value.
In the matrix size decision system: one or more of effective number of objects that object depth is ranked behind The region that multiple effective objects of amount half occupy in image after the sharpening includes: when one as region to be analyzed Or multiple effective number of objects are when being one, directly by one or more of effective number of objects after the sharpening in image The region occupied is exported as region to be analyzed.
In addition, FLASH storage chip is nonvolatile storage, the memory cell block of referred to as block can be carried out it is erasable and It reprograms.The write operation of any FLASH device can only carry out in unit that is empty or having wiped, so in most cases, Erasing must be first carried out before carrying out write operation.It is foolproof that NAND device, which executes erasing operation, and NOR is then required Position all in object block is all first written as 0 before being wiped.Due to being the block with 64~128KB when erasing NOR device Carry out, execute a write/erase operation time be 5s, in contrast, erasing NAND device be with the block of 8~32KB into Capable, it executes identical operation and at most only needs 4ms.The difference of block size has further widened NOR and NADN when executing erasing Between performance gap, statistics shows for given a set of write operation when update small documents (especially), more to wipe Operation must carry out in the unit based on NOR.
Using matrix size decision system of the invention, for liver's scanning machine in the prior art for different size human body Liver uses the technical issues of reconstruction image matrix of same size, passes through the image based on geometric mean filtering processing front and back Parameter compares, it is determined whether to treated, image executes same treatment again;More importantly the people based on scanning shoot Body liver size reference value selects directly proportional reconstruction image matrix size, to guarantee to rebuild figure while saving and scanning resource The clarity of picture;To solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection It is interior.

Claims (9)

1. a kind of matrix size decision system characterized by comprising
High pressure generator is connect with X-ray tube, for generating high pressure, and by the high-voltage transmission of generation to the X-ray tube;
Portal frame, interior be equipped with tilts forward and back equipment, rotating machinery and detector, described to tilt forward and back equipment and the rotating machinery Connection;
The high pressure generator makes the electronics in the X-ray tube reach the anode of the X-ray tube from the filament of the X-ray tube;
Matrix Decision-making equipment is connect with liver analytical equipment, for receiving liver's area reference, and it is determining with the liver face The directly proportional reconstruction image matrix size of product reference value;
Image reconstruction device is connect with the Matrix Decision-making equipment, for being executed based on the reconstruction image matrix size received Subsequent image reconstruction movement, to obtain new x-ray transmission image;
Geometric mean filter apparatus executes at geometric mean filtering the x-ray transmission image for receiving x-ray transmission image Reason, to obtain and export corresponding geometric mean filtering image;
Region obtains equipment, connect with the geometric mean filter apparatus, for receiving the geometric mean filtering image, identifies The quantity of target in the geometric mean filtering image, the quantity based on the target, which executes to filter the geometric mean, to be schemed The uniform formula region segmentation of picture, to obtain each first image-region, wherein the quantity of the target is more, acquisition it is each The quantity of pixel occupied by a first image-region is fewer;
The region obtains equipment and is also used to receive the x-ray transmission image, executes and the geometry to the x-ray transmission image The uniform formula region segmentation of the identical size of mean filter image, to obtain each second image-region;
Disturbance degree identification apparatus obtains equipment with the region and connect, obtains the chromatic component of each the first image-region Disturbance degree obtains the disturbance degree of the chromatic component of each the second image-region, each shadow based on each first image-region Loudness determines the entire effect degree of the geometric mean filtering image, is determined based on each disturbance degree of each second image-region The entire effect degree of the x-ray transmission image, wherein the disturbance degree of the chromatic component of image is noise in the tonal content of image Widely distributed degree;
Subsequent processing device is connect with the geometric mean filter apparatus and the disturbance degree identification apparatus respectively, in institute The difference for stating the entire effect degree of x-ray transmission image and the entire effect degree of the geometric mean filtering image is less than or equal to limitation When, geometric mean filtering processing is executed again to the geometric mean filtering image, to obtain subsequent processing image;
Liver's analytical equipment is connect with the subsequent processing device, for being based on liver's imaging features from the subsequent processing figure It is partitioned into liver's subgraph as in, and the area occupied based on liver's subgraph determines liver's area reference.
2. matrix size decision system as described in claim 1, it is characterised in that:
The subsequent processing device is also used to entire effect degree and the geometric mean filtering image in the x-ray transmission image Entire effect degree difference be greater than limitation when, using the geometric mean filtering image as subsequent processing image output.
3. matrix size decision system as claimed in claim 2, which is characterized in that the system also includes:
Data sharpening equipment is connect with the subsequent processing device, for receiving the subsequent processing image, to the subsequent place It manages image and executes data sharpening processing, with image after being sharpened.
4. matrix size decision system as claimed in claim 3, which is characterized in that the system also includes:
Profile identification apparatus is connect with the data sharpening equipment, for receiving image after the sharpening, is based on predetermined luminance threshold Value executes object outline identification to image after the sharpening, to obtain one or more object wheels after the sharpening in image It is wide.
5. matrix size decision system as claimed in claim 4, which is characterized in that the system also includes:
Area analysis equipment is connect, for receiving one or more of object outlines, and right with the profile identification apparatus When the ratio that the area surrounded as profile occupies image area after the sharpening is more than preset ratio threshold value, the object wheel is determined Wide corresponding object is effective object.
6. matrix size decision system as claimed in claim 5, which is characterized in that the system also includes:
Object extraction equipment is connect with liver's analytical equipment and the area analysis equipment respectively, described sharp for receiving The effective object of one or more of image after change, and one or more of effective objects are carried out from big based on object depth To small sequence, the region that effective object that object depth ranks behind is occupied in image after the sharpening is as to be analyzed Region is exported with replacing the subsequent processing image to liver's analytical equipment.
7. matrix size decision system as claimed in claim 6, it is characterised in that:
The region that effective object that object depth ranks behind is occupied in image after the sharpening is defeated as region to be analyzed It out include: the multiple effective objects for one or more of effective number of objects half that object depth ranks behind described The region occupied in image after sharpening is exported as region to be analyzed.
8. matrix size decision system as claimed in claim 7, which is characterized in that the system also includes:
FLASH storage chip is connect with the area analysis equipment and the object extraction equipment respectively, described pre- for storing If luminance threshold and the preset ratio threshold value.
9. matrix size decision system as claimed in claim 8, it is characterised in that:
The multiple effective objects for one or more of effective number of objects half that object depth is ranked behind are described sharp The region occupied in image after change as region to be analyzed include: when one or more of effective number of objects be one when, The region that directly one or more of effective number of objects are occupied in image after the sharpening is defeated as region to be analyzed Out.
CN201811485083.2A 2018-12-06 2018-12-06 Matrix size decision system Pending CN109350104A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811485083.2A CN109350104A (en) 2018-12-06 2018-12-06 Matrix size decision system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811485083.2A CN109350104A (en) 2018-12-06 2018-12-06 Matrix size decision system

Publications (1)

Publication Number Publication Date
CN109350104A true CN109350104A (en) 2019-02-19

Family

ID=65331332

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811485083.2A Pending CN109350104A (en) 2018-12-06 2018-12-06 Matrix size decision system

Country Status (1)

Country Link
CN (1) CN109350104A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111870826A (en) * 2020-07-14 2020-11-03 杜兴林 Real-time analytic system of minimal access surgery index

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5604825A (en) * 1990-11-30 1997-02-18 Minolta Camera Kabushiki Kaisha Image processing apparatus capable of varying magnification of images and method of using same
CN1518954A (en) * 2002-12-04 2004-08-11 ��ʽ���綫֥ X-ray CT scanner and image processor
CN106296765A (en) * 2016-08-02 2017-01-04 上海联影医疗科技有限公司 Image rebuilding method and system
CN106796717A (en) * 2014-09-15 2017-05-31 模拟技术公司 Radiation image noise reduction
US20180182480A1 (en) * 2016-12-28 2018-06-28 Toshiba Medical Systems Corporation Medical image processing apparatus, medical imaging apparatus and image archiving apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5604825A (en) * 1990-11-30 1997-02-18 Minolta Camera Kabushiki Kaisha Image processing apparatus capable of varying magnification of images and method of using same
CN1518954A (en) * 2002-12-04 2004-08-11 ��ʽ���綫֥ X-ray CT scanner and image processor
CN106796717A (en) * 2014-09-15 2017-05-31 模拟技术公司 Radiation image noise reduction
CN106296765A (en) * 2016-08-02 2017-01-04 上海联影医疗科技有限公司 Image rebuilding method and system
US20180182480A1 (en) * 2016-12-28 2018-06-28 Toshiba Medical Systems Corporation Medical image processing apparatus, medical imaging apparatus and image archiving apparatus

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111870826A (en) * 2020-07-14 2020-11-03 杜兴林 Real-time analytic system of minimal access surgery index

Similar Documents

Publication Publication Date Title
CN103310432B (en) Based on the metal artifacts reduction method of the CT image normalization of the full variation stream of quadravalence
CN107123095B (en) PET image reconstruction method and imaging system
US8009890B2 (en) Image display apparatus and X-ray CT apparatus
US8805037B2 (en) Method and system for reconstruction of tomographic images
CN106651986B (en) Computer tomography artifact correction method
US10540766B2 (en) Systems and methods for artifact correction of computerized tomography
CN108053400A (en) Image processing method and device
CN109480876A (en) Spinal cord CT machine control platform
CN105321155A (en) Ring artifact elimination method for CBCT image
CN107203997A (en) A kind of dividing method of half brain of left and right
US20190108659A1 (en) Reconstructing images
CN105608720B (en) Computer tomography artifact correction method and device
US20170188984A1 (en) Filter set of computed tomography scanning device and control method thereof
US8139891B2 (en) System and method for structure enhancement and noise reduction in medical images
US20100166286A1 (en) Motion artefact reduction in CT scanning
CN109350104A (en) Matrix size decision system
US6996204B2 (en) Sequential computed tomography method
CN116309217A (en) Method, device, equipment and readable storage medium for MRI synthesized CT image
CN105184741A (en) Three-dimensional CBCT (cone-beam computed tomography) image denoising method on the basis of improved nonlocal means
Shan et al. Can deep learning outperform modern commercial CT image reconstruction methods?
JP2007236502A (en) X-ray ct system
KR102297972B1 (en) Low Dose Cone Beam Computed Tomography Imaging System Using Total Variation Denoising Technique
Choi et al. Self‐supervised denoising of projection data for low‐dose cone‐beam CT
Jiang et al. Learning a frequency separation network with hybrid convolution and adaptive aggregation for low-dose CT denoising
CN109903262A (en) A kind of method of image co-registration, system and relevant apparatus

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
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.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190219