CN105830123B - 谱图像数据处理 - Google Patents

谱图像数据处理 Download PDF

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Publication number
CN105830123B
CN105830123B CN201480069427.5A CN201480069427A CN105830123B CN 105830123 B CN105830123 B CN 105830123B CN 201480069427 A CN201480069427 A CN 201480069427A CN 105830123 B CN105830123 B CN 105830123B
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Prior art keywords
spectral
contrast
image data
updated
tubular structure
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English (en)
Chinese (zh)
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CN105830123A (zh
Inventor
Y·拉马什
L·戈申
R·卡尔米
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Koninklijke Philips NV
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Koninklijke Philips Electronics NV
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • 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
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
    • 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
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/507—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for determination of haemodynamic parameters, e.g. perfusion 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
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5205—Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
    • 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
    • A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20116—Active contour; Active surface; Snakes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/408—Dual energy

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Optics & Photonics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Dentistry (AREA)
  • Physiology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Pulmonology (AREA)
  • Vascular Medicine (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Generation (AREA)
CN201480069427.5A 2013-12-17 2014-12-03 谱图像数据处理 Active CN105830123B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201361916850P 2013-12-17 2013-12-17
US61/916,850 2013-12-17
PCT/IB2014/066540 WO2015092588A2 (en) 2013-12-17 2014-12-03 Spectral image data processing

Publications (2)

Publication Number Publication Date
CN105830123A CN105830123A (zh) 2016-08-03
CN105830123B true CN105830123B (zh) 2019-08-16

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US (1) US10970836B2 (enExample)
EP (1) EP3084723B1 (enExample)
JP (1) JP6559678B2 (enExample)
CN (1) CN105830123B (enExample)
WO (1) WO2015092588A2 (enExample)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9547889B2 (en) * 2011-07-15 2017-01-17 Koninklijke Philips N.V. Image processing for spectral CT
US9058692B1 (en) * 2014-04-16 2015-06-16 Heartflow, Inc. Systems and methods for image-based object modeling using multiple image acquisitions or reconstructions
EP3338635A4 (en) * 2015-08-17 2018-08-01 Shimadzu Corporation Image reconstruction processing method, image reconstruction processing program, and tomography device equipped with same
EP3472804B1 (en) * 2016-06-15 2022-10-26 Koninklijke Philips N.V. Determining calcium content from spectral ct data
US11744538B2 (en) 2016-11-23 2023-09-05 Mayo Foundation For Medical Education And Research System and method for quantifying luminal stenosis using multi-energy computed tomography imaging
EP3332710B1 (de) * 2016-12-12 2020-09-16 Siemens Healthcare GmbH Charakterisierung von plaque
EP3555860B1 (en) * 2016-12-19 2020-12-09 Koninklijke Philips N.V. Detection and/or correction of residual iodine artifacts in spectral computed tomography (ct) imaging
US10702234B2 (en) * 2017-02-22 2020-07-07 Canon Medical Systems Corporation Image combining using images with different focal-spot sizes
EP3378398A1 (en) * 2017-03-24 2018-09-26 Koninklijke Philips N.V. Myocardial ct perfusion image synthesis
WO2018178239A1 (en) * 2017-03-31 2018-10-04 Koninklijke Philips N.V. Spectral imaging ffr
US10580132B2 (en) * 2017-04-13 2020-03-03 Canon Kabushiki Kaisha Medical image processing apparatus, control method therefor, and non-transitory storage medium storing program
US10349911B2 (en) * 2017-05-18 2019-07-16 Dassault Systemes Simulia Corp. System and method to produce corrected contrast levels in a CT scan of vasculature
ES3015426T3 (en) 2017-06-30 2025-05-05 Koninklijke Philips Nv Machine learning spectral ffr-ct
EP3467771A1 (en) * 2017-10-05 2019-04-10 Koninklijke Philips N.V. Image feature annotation in diagnostic imaging
JP2019181049A (ja) * 2018-04-17 2019-10-24 ソニー株式会社 生体情報評価装置および生体情報評価方法
CN111079863B (zh) * 2019-12-31 2023-05-19 重庆青信科技有限公司 利用能谱曲线统计指纹识别病灶组织的系统
CN114266792B (zh) * 2021-12-31 2025-08-29 上海联影智能医疗科技有限公司 搭桥重建方法、装置、计算机设备及存储介质
US20250037326A1 (en) * 2023-07-26 2025-01-30 GE Precision Healthcare LLC Optimized visualization in medical images based on color overlays

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090161939A1 (en) * 2007-12-21 2009-06-25 General Electric Company System and method for extracting features of interest from an image
CN102855618A (zh) * 2011-06-29 2013-01-02 西门子公司 用于图像产生和图像分析的方法

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7711165B2 (en) 2005-07-28 2010-05-04 Siemens Medical Solutions Usa, Inc. System and method for coronary artery segmentation of cardiac CT volumes
DE102005049602B3 (de) * 2005-10-17 2007-04-19 Siemens Ag Verfahren und Vorrichtung zur Segmentierung zumindest einer Substanz in einem Röntgenbild
WO2008022210A2 (en) * 2006-08-15 2008-02-21 The Board Of Regents Of The University Of Texas System Methods, compositions and systems for analyzing imaging data
US7990379B2 (en) 2006-10-25 2011-08-02 Siemens Aktiengesellschaft System and method for coronary segmentation and visualization
US8355550B2 (en) 2007-05-01 2013-01-15 Siemens Aktiengesellschaft Methods and apparatus for virtual coronary mapping
DE102009051384A1 (de) * 2009-10-30 2011-05-12 Friedrich-Alexander-Universität Erlangen-Nürnberg Strahlaufhärtungskorrektur für CT-Perfusionsmessungen
EP2357609B1 (en) 2009-12-23 2012-06-27 Intrasense Adaptative hit-or-miss region growing for vessel segmentation in medical imaging
US8483432B2 (en) 2009-12-23 2013-07-09 General Electric Company Methods for automatic segmentation and temporal tracking
JP5755031B2 (ja) * 2011-05-30 2015-07-29 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー 画像生成装置およびｘ線ｃｔ装置並びにプログラム
GB201109344D0 (en) * 2011-06-03 2011-07-20 Siemens Medical Solutions BIF from WB dynamic
US9547889B2 (en) * 2011-07-15 2017-01-17 Koninklijke Philips N.V. Image processing for spectral CT
AU2012340081A1 (en) * 2011-11-17 2014-05-01 Bayer Healthcare Llc Methods and techniques for collecting, reporting, and managing information about medical diagnostic procedures
CN102737376A (zh) 2012-03-31 2012-10-17 常熟市支塘镇新盛技术咨询服务有限公司 一种应用在冠状动脉造影图像分割中的改进的区域生长方法
RU2015128005A (ru) * 2012-12-11 2017-01-19 Конинклейке Филипс Н.В. Способ определения кровотока через коронарные артерии
US9092849B2 (en) * 2013-06-28 2015-07-28 International Business Machines Corporation Bidirectional blood vessel segmentation

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090161939A1 (en) * 2007-12-21 2009-06-25 General Electric Company System and method for extracting features of interest from an image
CN102855618A (zh) * 2011-06-29 2013-01-02 西门子公司 用于图像产生和图像分析的方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Evaluation of Computer-Assisted Quantification of Carotid Artery Stenosis;Christina Biermann et al.;《Journal of Digital Imaging》;20110723;第25卷(第2期);第250-253页 *

Also Published As

Publication number Publication date
CN105830123A (zh) 2016-08-03
WO2015092588A2 (en) 2015-06-25
EP3084723A2 (en) 2016-10-26
JP6559678B2 (ja) 2019-08-14
EP3084723B1 (en) 2021-04-28
JP2017503551A (ja) 2017-02-02
US20160321803A1 (en) 2016-11-03
WO2015092588A3 (en) 2015-10-29
US10970836B2 (en) 2021-04-06

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