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RU2009128709A - MEDICAL IMAGE SYSTEM - Google Patents

MEDICAL IMAGE SYSTEM Download PDF

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Publication number
RU2009128709A
RU2009128709A RU2009128709/08A RU2009128709A RU2009128709A RU 2009128709 A RU2009128709 A RU 2009128709A RU 2009128709/08 A RU2009128709/08 A RU 2009128709/08A RU 2009128709 A RU2009128709 A RU 2009128709A RU 2009128709 A RU2009128709 A RU 2009128709A
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RU
Russia
Prior art keywords
interest
region
boundaries
confidence
sys
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RU2009128709/08A
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Russian (ru)
Inventor
Паскаль АЛЛЕН (NL)
Паскаль АЛЛЕН
Оливье ЖЕРАР (NL)
Оливье ЖЕРАР
Original Assignee
Конинклейке Филипс Электроникс Н.В. (Nl)
Конинклейке Филипс Электроникс Н.В.
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.)
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Application filed by Конинклейке Филипс Электроникс Н.В. (Nl), Конинклейке Филипс Электроникс Н.В. filed Critical Конинклейке Филипс Электроникс Н.В. (Nl)
Publication of RU2009128709A publication Critical patent/RU2009128709A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/04—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/987—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns with the intervention of an operator
    • 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
    • G06T2207/10132—Ultrasound image
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30048—Heart; Cardiac
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G06V2201/031—Recognition of patterns in medical or anatomical images of internal organs

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Optics & Photonics (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Processing (AREA)

Abstract

1. Медицинская система (SYS) формирования изображений, содержащая средство (CTRL) управления для управления следующими операциями ! автоматическое определение границ (B), по меньшей мере, одной области (RI) интересующего элемента (FI) в последовательности (SQ) изображений части тела, ! расчет уровня (CL) достоверности, который является репрезентативным при определении границ (B), по меньшей мере, одной области (RI) интересующего элемента (FI), ! отображение информации (IN), репрезентативной, по меньшей мере, в одной области (RI) интересующего элемента (FI), где ассоциированные границы (B) имеют уровень (CL) достоверности ниже, чем заданное пороговое значение (TH), отличающаяся тем, что такие области с низким уровнем достоверности удаляют из параметрического изображения (IP). ! 2. Система (SYS) по п.1, в которой отображаемая информация (IN) представляет собой карту уровней (CL) достоверности, ассоциированных соответственно с границами (B) множества областей интересующего элемента (FI). ! 3. Система (SYS) по п.1, в которой средство (CTRL) управления обеспечивает возможность управления отображением второй информации (INu), репрезентативной, по меньшей мере, в одной области (RI) интересующего элемента (FI), границы (B) которой были скорректированы. ! 4. Система (SYS) по п.1, в которой средство (CTRL) управления обеспечивает возможность управления на основе информации (IN) автоматическим отображением вида двумерного среза одной области (RI) с низким уровнем достоверности. ! 5. Способ формирования медицинского изображения, содержащий этапы, на которых ! автоматически определяют границы (B), по меньшей мере, одной области (RI) интересующего элемента (FI) в последовательности (SQ) изо� 1. Medical imaging system (SYS) containing a control (CTRL) control to control the following operations! automatic determination of the boundaries (B) of at least one region (RI) of an element of interest (FI) in a sequence (SQ) of images of a body part,! calculating a confidence level (CL) that is representative of the boundaries (B) of at least one region (RI) of an element of interest (FI),! displaying information (IN) representative of at least one region (RI) of an element of interest (FI), where the associated boundaries (B) have a confidence level (CL) lower than a predetermined threshold value (TH), characterized in that such low confidence areas are removed from the parametric image (IP). ! 2. The system (SYS) of claim 1, wherein the displayed information (IN) is a map of confidence levels (CL) associated respectively with the boundaries (B) of a plurality of regions of an element of interest (FI). ! 3. The system (SYS) according to claim 1, wherein the control means (CTRL) enables control of the display of the second information (INu), representative of at least one region (RI) of the element of interest (FI), the border (B) which have been adjusted. ! 4. The system (SYS) of claim 1, wherein the control means (CTRL) enables information-based control (IN) to automatically display a two-dimensional slice view of one region (RI) with a low confidence level. ! 5. A method of forming a medical image, containing the stages at which! automatically determine the boundaries (B) of at least one region (RI) of the element of interest (FI) in the sequence (SQ) of

Claims (6)

1. Медицинская система (SYS) формирования изображений, содержащая средство (CTRL) управления для управления следующими операциями1. A medical imaging system (SYS) comprising a control tool (CTRL) for controlling the following operations автоматическое определение границ (B), по меньшей мере, одной области (RI) интересующего элемента (FI) в последовательности (SQ) изображений части тела,automatic determination of the boundaries (B) of at least one region (RI) of the element of interest (FI) in the sequence (SQ) of images of the body part, расчет уровня (CL) достоверности, который является репрезентативным при определении границ (B), по меньшей мере, одной области (RI) интересующего элемента (FI),the calculation of the level of confidence (CL), which is representative in determining the boundaries (B) of at least one region (RI) of the element of interest (FI), отображение информации (IN), репрезентативной, по меньшей мере, в одной области (RI) интересующего элемента (FI), где ассоциированные границы (B) имеют уровень (CL) достоверности ниже, чем заданное пороговое значение (TH), отличающаяся тем, что такие области с низким уровнем достоверности удаляют из параметрического изображения (IP).displaying information (IN) representative of at least one region (RI) of the element of interest (FI), where the associated boundaries (B) have a confidence level (CL) lower than a predetermined threshold value (TH), characterized in that such areas of low confidence are removed from the parametric image (IP). 2. Система (SYS) по п.1, в которой отображаемая информация (IN) представляет собой карту уровней (CL) достоверности, ассоциированных соответственно с границами (B) множества областей интересующего элемента (FI).2. The system (SYS) according to claim 1, in which the displayed information (IN) is a map of confidence levels (CL) associated respectively with the borders (B) of the plurality of regions of the element of interest (FI). 3. Система (SYS) по п.1, в которой средство (CTRL) управления обеспечивает возможность управления отображением второй информации (INu), репрезентативной, по меньшей мере, в одной области (RI) интересующего элемента (FI), границы (B) которой были скорректированы.3. The system (SYS) according to claim 1, in which the means (CTRL) of the control provides the ability to control the display of the second information (INu), representative of at least one region (RI) of the element of interest (FI), border (B) which have been adjusted. 4. Система (SYS) по п.1, в которой средство (CTRL) управления обеспечивает возможность управления на основе информации (IN) автоматическим отображением вида двумерного среза одной области (RI) с низким уровнем достоверности.4. The system (SYS) according to claim 1, in which the means (CTRL) of the control provides the ability to control based on information (IN) by automatically displaying a two-dimensional cut of one region (RI) with a low level of confidence. 5. Способ формирования медицинского изображения, содержащий этапы, на которых5. A method of forming a medical image containing the steps at which автоматически определяют границы (B), по меньшей мере, одной области (RI) интересующего элемента (FI) в последовательности (SQ) изображений части тела,automatically determine the boundaries (B) of at least one region (RI) of the element of interest (FI) in the sequence (SQ) of images of the body part, рассчитывают уровень (CL) достоверности, который является репрезентативным при определении границ (B), по меньшей мере, одной области (RI) интересующего элемента (FI),calculate the level of confidence (CL), which is representative in determining the boundaries (B) of at least one region (RI) of the element of interest (FI), отображают информацию (I), представляющую, по меньшей мере, одну область (RI) интересующего элемента (FI), где соответствующие границы (B) имеют уровень (CL) достоверности ниже, чем заданное пороговое значение (TH), отличающийся тем, что такие области с низким уровнем достоверности удаляют из параметрического изображения (IP).display information (I) representing at least one region (RI) of the element of interest (FI), where the corresponding boundaries (B) have a confidence level (CL) lower than a predetermined threshold value (TH), characterized in that such low confidence areas are removed from the parametric image (IP). 6. Компьютерный программный продукт, содержащий программные инструкции для воплощения способа по предыдущим пунктам, когда упомянутую программу выполняют с помощью процессора. 6. A computer program product containing software instructions for implementing the method according to the preceding paragraphs, when said program is executed by a processor.
RU2009128709/08A 2006-12-26 2007-12-17 MEDICAL IMAGE SYSTEM RU2009128709A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP06301294.2 2006-12-26
EP06301294 2006-12-26

Publications (1)

Publication Number Publication Date
RU2009128709A true RU2009128709A (en) 2011-02-10

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RU2009128709/08A RU2009128709A (en) 2006-12-26 2007-12-17 MEDICAL IMAGE SYSTEM

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JP (1) JP2010514486A (en)
KR (1) KR20090098839A (en)
CN (1) CN101568941A (en)
RU (1) RU2009128709A (en)
WO (1) WO2008078265A2 (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8200466B2 (en) 2008-07-21 2012-06-12 The Board Of Trustees Of The Leland Stanford Junior University Method for tuning patient-specific cardiovascular simulations
WO2010084446A1 (en) * 2009-01-23 2010-07-29 Koninklijke Philips Electronics N.V. Cardiac image processing and analysis
US9405886B2 (en) 2009-03-17 2016-08-02 The Board Of Trustees Of The Leland Stanford Junior University Method for determining cardiovascular information
US9763587B2 (en) 2010-06-10 2017-09-19 Biosense Webster (Israel), Ltd. Operator-controlled map point density
US8315812B2 (en) 2010-08-12 2012-11-20 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
US9717478B2 (en) 2010-12-27 2017-08-01 St. Jude Medical, Atrial Fibrillation Division, Inc. Refinement of an anatomical model using ultrasound
JP5847454B2 (en) * 2011-06-23 2016-01-20 キヤノン株式会社 Subject information acquisition apparatus, display control method, and program
JP5987640B2 (en) * 2012-11-05 2016-09-07 コニカミノルタ株式会社 Method and apparatus for three-dimensional restoration of subject using ultrasound
US10743844B2 (en) 2014-07-29 2020-08-18 Koninklijke Philips N.V. Ultrasound imaging apparatus
EP3578109B1 (en) * 2017-02-01 2020-08-26 FUJIFILM Corporation Ultrasound diagnostic device, ultrasound diagnostic device control method and ultrasound diagnostic device control program
US12039726B2 (en) * 2019-05-20 2024-07-16 Aranz Healthcare Limited Automated or partially automated anatomical surface assessment methods, devices and systems
US20210100530A1 (en) * 2019-10-04 2021-04-08 GE Precision Healthcare LLC Methods and systems for diagnosing tendon damage via ultrasound imaging

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6491636B2 (en) 2000-12-07 2002-12-10 Koninklijke Philips Electronics N.V. Automated border detection in ultrasonic diagnostic images
WO2006085266A1 (en) * 2005-02-08 2006-08-17 Philips Intellectual Property & Standard Gmbh Medical image viewing protocols

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CN101568941A (en) 2009-10-28
JP2010514486A (en) 2010-05-06
KR20090098839A (en) 2009-09-17
WO2008078265A2 (en) 2008-07-03
WO2008078265A3 (en) 2009-02-05

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