CN112807005B - Computer tomography method, apparatus and system - Google Patents
Computer tomography method, apparatus and system Download PDFInfo
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- CN112807005B CN112807005B CN201911116238.XA CN201911116238A CN112807005B CN 112807005 B CN112807005 B CN 112807005B CN 201911116238 A CN201911116238 A CN 201911116238A CN 112807005 B CN112807005 B CN 112807005B
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- 238000002591 computed tomography Methods 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000003902 lesion Effects 0.000 claims abstract description 48
- 230000004807 localization Effects 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000005337 ground glass Substances 0.000 description 2
- 206010028980 Neoplasm Diseases 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 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]
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- 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
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
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Abstract
The invention discloses a computer tomography method, equipment and a system. The computer tomography method comprises the following steps: scanning a positioning image of the detected object and generating a first positioning image; acquiring the previous positioning image of the detected object and the position of a frame marked with a focus in the tomographic image; comparing the first scout image with a previous scout image to obtain an offset of the subject thereon; tomographic scanning is performed at a higher dose at the location of the lesion based on the location of the frame marked with the lesion and the offset. The invention uses the history record to obtain the focus position and adjusts the dosage to improve the focus image quality and reduce the exposure. Therefore, the computer tomography method is more targeted and intelligent.
Description
Technical Field
The present invention relates to computed tomography.
Background
CT image quality is positively correlated with scan dose. Generally, patients are examined at the same hospital and their history is available.
Disclosure of Invention
In view of this, the present invention proposes a computed tomography method, apparatus and system.
According to a first aspect of the present invention there is provided a computer tomography method comprising: scanning a positioning image of the detected object and generating a first positioning image; acquiring the previous positioning image of the detected object and the position of a frame marked with a focus in the tomographic image; comparing the first scout image with a previous scout image to obtain an offset of the subject thereon; tomographic scanning is performed at a higher dose at the location of the lesion based on the location of the frame marked with the lesion and the offset.
According to a second aspect of the present invention, there is provided a computed tomography apparatus comprising: a first scanning unit that scans a scout image of a subject and generates a first scout image; a receiving unit that acquires a previous localization image of the subject and a position of a frame in which a lesion is marked in a tomographic image; a comparison unit that compares the first scout image and a previous scout image to obtain an offset of the subject thereon; a second scanning unit that performs tomographic scanning at a higher dose at the position of the lesion based on the position of the frame labeled with the lesion and the offset.
According to a third aspect of the present invention there is provided a computed tomography system comprising: a storage unit that stores a previous localization image of the subject and a position of a frame in which a lesion is marked in the tomographic image; a first scanning unit that scans a scout image of the subject and generates a first scout image; a receiving unit that acquires, from the storage unit, a previous localization image of the subject and a position of a frame in which a lesion is marked in a tomographic image; a comparison unit that compares the first scout image and a previous scout image to obtain an offset of the subject thereon; a second scanning unit that performs tomographic scanning at a higher dose at the position of the lesion based on the position of the frame labeled with the lesion and the offset.
The invention uses the history record to obtain the focus position and adjusts the dosage to improve the focus image quality and reduce the exposure. Therefore, the computer tomography method is more targeted and intelligent.
Drawings
The above and other features and advantages of the present invention will become more apparent to those of ordinary skill in the art by describing in detail preferred embodiments thereof with reference to the attached drawings in which:
Fig. 1 is a flow chart of a computed tomography method according to an embodiment of the invention.
Fig. 2 is a schematic view of a computed tomography apparatus according to an embodiment of the present invention.
FIG. 3 is a schematic diagram of a computed tomography system according to an embodiment of the invention.
In the above figures, the following reference numerals are used:
100. computed tomography method
S102, S104, S106 and S108 steps
200. 300 Computer tomography apparatus
202. 302 First scanning unit
204. 304 Receiving unit
206. 306 Comparison unit
208. 308 Second scanning unit
310. Memory cell
Detailed Description
The present invention will be further described in detail with reference to the following examples, in order to make the objects, technical solutions and advantages of the present invention more apparent.
There is a distinction between smooth and ground glass nodules, which are more likely to turn into tumors. In this case, the quality of the ground glass nodule image can have a significant impact on diagnosis.
Fig. 1 is a flow chart of a computed tomography method 100 according to an embodiment of the invention. As shown in fig. 1, the computed tomography method 100 includes step S102, step S104, step S106, and step S108.
In step S102, a scout image scan is performed on a subject to generate a first scout image.
In step S104, a previous localization image of the subject and a position of a frame in which a lesion is labeled in the tomographic image are acquired. After the previous examination, the tomographic image is sent to an image storage and transmission system (Picture ARCHIVING AND Communication Systems, PACS) together with the localization image as a reference image. The reader will examine these tomograms and label the frames showing the lesions, and the locations of the frames in the tomograms that label the lesions are also stored in the PACS. The transmission between PACS and computed tomography devices complies with the DICOM (digital imaging and communications in medicine) standard.
In step S106, the first scout image and the previous scout image are compared to obtain an offset of the subject thereon. The comparison of the first scout image and the previous scout image may employ image automatic recognition techniques.
In step S108, tomographic scanning is performed at a higher dose at the position of the lesion according to the position and offset of the frame in which the lesion is marked. The location of the lesion may be determined based on the location of the frame that marked the lesion and the offset. In this way, a higher quality image will be obtained at the lesion site.
Alternatively, the tomographic scan is performed at a lower dose at a location outside the lesion.
The computer tomography method of the invention uses the history record to obtain the focus position, and adjusts the dose to improve the focus image quality and reduce the exposure. Therefore, the computer tomography method is more targeted and intelligent.
Fig. 2 is a schematic diagram of a computed tomography apparatus 200 according to an embodiment of the invention. As shown in fig. 2, the computed tomography apparatus 200 includes a first scanning unit 202, a receiving unit 204, a comparing unit 206, and a second scanning unit 208.
The first scanning unit 202 scans a scout image of a subject and generates a first scout image.
The receiving unit 204 acquires a previous localization image of the subject and a position of a frame in the tomographic image in which the lesion is noted. After the previous examination, the tomographic image is sent to the PACS together with the localization image as the reference map. The reader will examine these tomograms and label the frames showing the lesions, and the locations of the frames in the tomograms that label the lesions are also stored in the PACS. The transmission between the PACS and the computed tomography apparatus is compliant with the DICOM standard.
The comparison unit 206 compares the first scout image and the previous scout image to obtain an offset of the subject thereon. The comparison of the first scout image and the previous scout image may employ image automatic recognition techniques.
The second scanning unit 208 performs tomographic scanning at a higher dose at the position of the lesion according to the position of the frame in which the lesion is marked and the offset. The location of the lesion may be determined based on the location of the frame that marked the lesion and the offset.
Optionally, the second scanning unit 208 also performs tomographic scanning at a lower dose at a position outside the lesion.
The computer tomography apparatus of the present invention uses the history to obtain the location of the lesion and adjusts the dose to improve the image quality of the lesion and reduce the exposure. Therefore, the computer tomography equipment is more targeted and intelligent.
Fig. 3 is a schematic diagram of a computed tomography system 300 according to an embodiment of the invention. As shown in fig. 3, the computed tomography system 300 includes a storage unit 310, a first scanning unit 302, a receiving unit 304, a comparing unit 306, and a second scanning unit 308.
The storage unit 310 stores a previous localization image of the subject and a position of a frame in the tomographic image in which the lesion is marked. The storage unit 310 may be, for example, a PACS. After the previous examination, the tomographic image is sent to the PACS together with the localization image as the reference map. The reader will examine these tomograms and label the frames showing the lesions, and the locations of the frames in the tomograms that label the lesions are also stored in the PACS. The transmission between the PACS and the computed tomography apparatus is compliant with the DICOM standard.
The first scanning unit 302 scans a scout image of a subject and generates a first scout image.
The receiving unit 304 acquires, from the storage unit 310, a previous localization image of the subject and a position of a frame in the tomographic image in which the lesion is noted.
The comparison unit 306 compares the first scout image and the previous scout image to obtain an offset of the subject thereon.
The second scanning unit 308 performs tomographic scanning at a higher dose at the position of the lesion according to the position of the frame in which the lesion is marked and the offset. The location of the lesion may be determined based on the location of the frame that marked the lesion and the offset.
The computed tomography system of the present invention utilizes the history to obtain the location of the lesion and adjusts the dose to improve the image quality of the lesion and reduce the exposure. Therefore, the computer tomography system of the invention is more targeted and intelligent.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (3)
1. A computed tomography method comprising:
Scanning a positioning image of the detected object and generating a first positioning image;
acquiring a previous positioning image of the detected object and the position of a frame marked with a focus in a tomographic image, wherein the tomographic image takes the previous positioning image as a reference image;
Comparing the first scout image with a previous scout image to obtain an offset of the subject thereon;
and determining the position of the focus according to the position of the frame marked with the focus and the offset, and carrying out fault scanning at the position of the focus with higher dosage.
2. A computed tomography apparatus comprising:
a first scanning unit (202) that scans a scout image of a subject and generates a first scout image;
A receiving unit (204) that acquires a previous localization image of the subject and a position of a frame in which a focus is marked in a tomographic image, the tomographic image being a tomographic image with the previous localization image as a reference image;
a comparison unit (206) that compares the first scout image and a previous scout image to obtain an offset of the subject thereon;
A second scanning unit (208) that determines a location of the lesion based on the location of the frame labeled with the lesion and the offset, and performs tomographic scanning at a higher dose at the location of the lesion.
3. A computed tomography system comprising:
A storage unit (310) that stores a previous localization image of the subject and a position of a frame in which a lesion is marked in the tomographic image;
A first scanning unit (302) that scans a scout image of the subject and generates a first scout image;
A receiving unit (304) that acquires, from the storage unit (310), a previous localization image of the subject and a position of a frame in which a lesion is marked in a tomographic image, the tomographic image being a tomographic image with the previous localization image as a reference map;
A comparing unit (306) that compares the first scout image and a previous scout image to obtain an offset of the subject thereon;
A second scanning unit (308) that determines a location of the lesion based on the location of the frame labeled with the lesion and the offset, and performs tomographic scanning at a higher dose at the location of the lesion.
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CN112807005B true CN112807005B (en) | 2024-05-14 |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07227391A (en) * | 1994-02-21 | 1995-08-29 | Ge Yokogawa Medical Syst Ltd | Method for displaying in ct system and ct system |
CN1976629A (en) * | 2004-04-26 | 2007-06-06 | D·F·杨克洛维茨 | Medical imaging system for accurately measuring changes of orientation tumour |
CN103221976A (en) * | 2010-08-04 | 2013-07-24 | P治疗有限公司 | Teletherapy control system and method |
CN104161533A (en) * | 2013-05-20 | 2014-11-26 | 上海联影医疗科技有限公司 | Medical imaging method and device |
CN104274196A (en) * | 2013-07-09 | 2015-01-14 | 上海西门子医疗器械有限公司 | Computed tomography device |
CN106388843A (en) * | 2016-10-25 | 2017-02-15 | 上海联影医疗科技有限公司 | Medical imaging equipment and scanning method thereof |
CN109717886A (en) * | 2017-10-30 | 2019-05-07 | 上海交通大学 | A kind of CT scanning method of low radiation dose |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4640845B2 (en) * | 2007-03-05 | 2011-03-02 | 富士フイルム株式会社 | Image processing apparatus and program thereof |
JP5512682B2 (en) * | 2008-09-30 | 2014-06-04 | カール ツアイス メディテック アクチエンゲゼルシャフト | Apparatus and method for measuring eye movement, in particular fundus movement |
KR20170060698A (en) * | 2015-11-25 | 2017-06-02 | 삼성전자주식회사 | Computed tomography apparatus and control method for the same |
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- 2019-11-15 CN CN201911116238.XA patent/CN112807005B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07227391A (en) * | 1994-02-21 | 1995-08-29 | Ge Yokogawa Medical Syst Ltd | Method for displaying in ct system and ct system |
CN1976629A (en) * | 2004-04-26 | 2007-06-06 | D·F·杨克洛维茨 | Medical imaging system for accurately measuring changes of orientation tumour |
CN103221976A (en) * | 2010-08-04 | 2013-07-24 | P治疗有限公司 | Teletherapy control system and method |
CN104161533A (en) * | 2013-05-20 | 2014-11-26 | 上海联影医疗科技有限公司 | Medical imaging method and device |
CN104274196A (en) * | 2013-07-09 | 2015-01-14 | 上海西门子医疗器械有限公司 | Computed tomography device |
CN106388843A (en) * | 2016-10-25 | 2017-02-15 | 上海联影医疗科技有限公司 | Medical imaging equipment and scanning method thereof |
CN109717886A (en) * | 2017-10-30 | 2019-05-07 | 上海交通大学 | A kind of CT scanning method of low radiation dose |
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