JP7370989B2 - スペクトルボリューム画像データを生成するように構成された非スペクトルコンピュータ断層撮影(ct)スキャナ - Google Patents
スペクトルボリューム画像データを生成するように構成された非スペクトルコンピュータ断層撮影(ct)スキャナ Download PDFInfo
- Publication number
- JP7370989B2 JP7370989B2 JP2020541484A JP2020541484A JP7370989B2 JP 7370989 B2 JP7370989 B2 JP 7370989B2 JP 2020541484 A JP2020541484 A JP 2020541484A JP 2020541484 A JP2020541484 A JP 2020541484A JP 7370989 B2 JP7370989 B2 JP 7370989B2
- Authority
- JP
- Japan
- Prior art keywords
- spectral
- image data
- data
- neural network
- volume image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
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
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
-
- 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]
-
- 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
- A61B6/48—Diagnostic techniques
- A61B6/482—Diagnostic techniques involving multiple energy imaging
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- 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
- A61B6/48—Diagnostic techniques
- A61B6/483—Diagnostic techniques involving scattered radiation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Theoretical Computer Science (AREA)
- Molecular Biology (AREA)
- Public Health (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Heart & Thoracic Surgery (AREA)
- Surgery (AREA)
- Pathology (AREA)
- Optics & Photonics (AREA)
- Animal Behavior & Ethology (AREA)
- High Energy & Nuclear Physics (AREA)
- Veterinary Medicine (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Pulmonology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Apparatus For Radiation Diagnosis (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862624431P | 2018-01-31 | 2018-01-31 | |
| US62/624,431 | 2018-01-31 | ||
| PCT/EP2019/052271 WO2019149762A1 (en) | 2018-01-31 | 2019-01-30 | Non-spectral computed tomography (ct) scanner configured to generate spectral volumetric image data |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2021511875A JP2021511875A (ja) | 2021-05-13 |
| JP2021511875A5 JP2021511875A5 (https=) | 2022-02-03 |
| JPWO2019149762A5 JPWO2019149762A5 (https=) | 2022-02-03 |
| JP7370989B2 true JP7370989B2 (ja) | 2023-10-30 |
Family
ID=65276157
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020541484A Active JP7370989B2 (ja) | 2018-01-31 | 2019-01-30 | スペクトルボリューム画像データを生成するように構成された非スペクトルコンピュータ断層撮影(ct)スキャナ |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US11510641B2 (https=) |
| EP (1) | EP3745959B1 (https=) |
| JP (1) | JP7370989B2 (https=) |
| CN (1) | CN111818851B (https=) |
| WO (1) | WO2019149762A1 (https=) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11510641B2 (en) * | 2018-01-31 | 2022-11-29 | Koninklijke Philips N.V. | Non-spectral computed tomography (CT) scanner configured to generate spectral volumetric image data |
| EP3838154A1 (en) | 2019-12-16 | 2021-06-23 | Koninklijke Philips N.V. | Apparatus for generating photon counting spectral image data |
| US11662321B2 (en) * | 2020-10-09 | 2023-05-30 | Baker Hughes Oilfield Operations Llc | Scatter correction for computed tomography imaging |
| EP4104767A1 (en) * | 2021-06-17 | 2022-12-21 | Koninklijke Philips N.V. | Controlling an alert signal for spectral computed tomography imaging |
| US12008689B2 (en) | 2021-12-03 | 2024-06-11 | Canon Medical Systems Corporation | Devices, systems, and methods for deep-learning kernel-based scatter estimation and correction |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150371378A1 (en) | 2014-06-20 | 2015-12-24 | Marquette University | Material decomposition of multi-spectral x-ray projections using neural networks |
| JP2017528244A (ja) | 2014-09-19 | 2017-09-28 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | スペクトル投影拡張 |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1876955B1 (en) | 2005-04-26 | 2016-11-23 | Koninklijke Philips N.V. | Double decker detector for spectral ct |
| US8442184B2 (en) | 2008-06-30 | 2013-05-14 | Koninklijke Philips Electronics N.V. | Spectral CT |
| WO2014036473A1 (en) | 2012-08-31 | 2014-03-06 | Kenji Suzuki | Supervised machine learning technique for reduction of radiation dose in computed tomography imaging |
| CN105408940B (zh) * | 2013-07-23 | 2019-09-03 | 皇家飞利浦有限公司 | 混合式(谱/非谱)成像探测器阵列和对应的处理电子设备 |
| EP3195017B1 (en) * | 2014-09-02 | 2020-07-22 | Koninklijke Philips N.V. | Window-based spectrum measurement in a spectral ct detector |
| US9761024B1 (en) * | 2014-10-20 | 2017-09-12 | Koninklijke Philips N.V. | Start image for spectral image iterative reconstruction |
| US9775580B2 (en) * | 2014-10-20 | 2017-10-03 | Koninklijke Philips N.V. | Cardiac reconstruction for photon counting CT for heart and lung images |
| WO2017009736A1 (en) * | 2015-07-13 | 2017-01-19 | Koninklijke Philips N.V. | High energy resolution / high x-ray flux photon counting detector |
| US10970887B2 (en) | 2016-06-24 | 2021-04-06 | Rensselaer Polytechnic Institute | Tomographic image reconstruction via machine learning |
| US11510641B2 (en) * | 2018-01-31 | 2022-11-29 | Koninklijke Philips N.V. | Non-spectral computed tomography (CT) scanner configured to generate spectral volumetric image data |
-
2019
- 2019-01-30 US US16/965,201 patent/US11510641B2/en active Active
- 2019-01-30 JP JP2020541484A patent/JP7370989B2/ja active Active
- 2019-01-30 CN CN201980016377.7A patent/CN111818851B/zh active Active
- 2019-01-30 WO PCT/EP2019/052271 patent/WO2019149762A1/en not_active Ceased
- 2019-01-30 EP EP19702858.2A patent/EP3745959B1/en active Active
-
2022
- 2022-11-02 US US17/979,061 patent/US11986336B2/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150371378A1 (en) | 2014-06-20 | 2015-12-24 | Marquette University | Material decomposition of multi-spectral x-ray projections using neural networks |
| JP2017528244A (ja) | 2014-09-19 | 2017-09-28 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | スペクトル投影拡張 |
Non-Patent Citations (1)
| Title |
|---|
| LI, Sui et al.,Pseudo Dual Energy CT Imaging using Deep Learning Based Framework: Initial Study,arXiv,1711.07118v1 [physics.med-ph],2017年11月20日,<URL:https://arxiv.org/abs/1711.07118> |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111818851A (zh) | 2020-10-23 |
| US20230172573A1 (en) | 2023-06-08 |
| JP2021511875A (ja) | 2021-05-13 |
| US11986336B2 (en) | 2024-05-21 |
| EP3745959B1 (en) | 2023-12-20 |
| US11510641B2 (en) | 2022-11-29 |
| EP3745959A1 (en) | 2020-12-09 |
| WO2019149762A1 (en) | 2019-08-08 |
| US20210059625A1 (en) | 2021-03-04 |
| CN111818851B (zh) | 2024-09-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11864939B2 (en) | Apparatus and method that uses deep learning to correct computed tomography (CT) with sinogram completion of projection data | |
| JP7370989B2 (ja) | スペクトルボリューム画像データを生成するように構成された非スペクトルコンピュータ断層撮影(ct)スキャナ | |
| CN103649990B (zh) | 用于谱ct的图像处理 | |
| JP7346429B2 (ja) | スペクトルコンピュータ断層撮影(ct)スキャナによって生成される画質が向上したバーチャル非造影画像 | |
| WO2019067524A1 (en) | TD MONOCHROMATIC IMAGE RECONSTRUCTION FROM CURRENT INTEGRATION DATA VIA AUTOMATIC LEARNING | |
| CN111615363B (zh) | 利用非谱成像系统的谱成像 | |
| US10282870B2 (en) | Spectral imaging | |
| US20170221232A1 (en) | Computerized tomographic image exposure and reconstruction method | |
| EP4295312B1 (en) | Projection-domain material decomposition for spectral imaging | |
| EP3404618B1 (en) | Poly-energetic reconstruction method for metal artifacts reduction | |
| Jacobson et al. | Abbreviated on-treatment CBCT using roughness penalized mono-energization of kV-MV data and a multi-layer MV imager | |
| CN116172594B (zh) | 用于生成患者的结果图像数据集的方法及装置 | |
| EP4481684A1 (en) | De-noising in spectral ct | |
| Hennemann et al. | Spectral deep learning‐based patient and bowtie scatter correction for clinical photon‐counting CT |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20220126 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20220126 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20221007 |
|
| A601 | Written request for extension of time |
Free format text: JAPANESE INTERMEDIATE CODE: A601 Effective date: 20221222 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20230118 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20230424 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20230823 |
|
| A911 | Transfer to examiner for re-examination before appeal (zenchi) |
Free format text: JAPANESE INTERMEDIATE CODE: A911 Effective date: 20230831 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20230920 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20231018 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 7370989 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |