JP2020513975A - 基準グレイスケール値を用いる画像セグメンテーション - Google Patents

基準グレイスケール値を用いる画像セグメンテーション Download PDF

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JP2020513975A
JP2020513975A JP2019551642A JP2019551642A JP2020513975A JP 2020513975 A JP2020513975 A JP 2020513975A JP 2019551642 A JP2019551642 A JP 2019551642A JP 2019551642 A JP2019551642 A JP 2019551642A JP 2020513975 A JP2020513975 A JP 2020513975A
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magnetic resonance
image
imaging system
medical imaging
data
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JP2020513975A5 (https=
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ロルフ ユルゲン ウェーゼ
ロルフ ユルゲン ウェーゼ
ステッフェン ウェイス
ステッフェン ウェイス
ヨヘン ペータース
ヨヘン ペータース
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Koninklijke Philips NV
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/4828—Resolving the MR signals of different chemical species, e.g. water-fat imaging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5608—Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/58—Calibration of imaging systems, e.g. using test probes, Phantoms; Calibration objects or fiducial markers such as active or passive RF coils surrounding an MR active material
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/20128—Atlas-based segmentation
    • 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

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Signal Processing (AREA)
  • Medical Informatics (AREA)
  • Quality & Reliability (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Analysis (AREA)
JP2019551642A 2017-03-20 2018-03-15 基準グレイスケール値を用いる画像セグメンテーション Pending JP2020513975A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP17161811.9 2017-03-20
EP17161811.9A EP3379281A1 (en) 2017-03-20 2017-03-20 Image segmentation using reference gray scale values
PCT/EP2018/056475 WO2018172169A1 (en) 2017-03-20 2018-03-15 Image segmentation using reference gray scale values

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JP2020513975A true JP2020513975A (ja) 2020-05-21
JP2020513975A5 JP2020513975A5 (https=) 2021-04-22

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JP2019551642A Pending JP2020513975A (ja) 2017-03-20 2018-03-15 基準グレイスケール値を用いる画像セグメンテーション

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Country Link
US (1) US11249160B2 (https=)
EP (2) EP3379281A1 (https=)
JP (1) JP2020513975A (https=)
CN (1) CN110785674B (https=)
WO (1) WO2018172169A1 (https=)

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WO2022050402A1 (ja) * 2020-09-07 2022-03-10 国立大学法人 東京大学 装置、プログラム、方法及び試料セット
JP2023541572A (ja) * 2020-09-18 2023-10-03 コルスメド アクチエボラグ 磁気共鳴（ｍｒ）イメージングシミュレーションを対象とする方法

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US10753997B2 (en) * 2017-08-10 2020-08-25 Siemens Healthcare Gmbh Image standardization using generative adversarial networks
CA3041140C (en) * 2018-04-26 2021-12-14 NeuralSeg Ltd. Systems and methods for segmenting an image
EP3644275A1 (en) * 2018-10-22 2020-04-29 Koninklijke Philips N.V. Predicting correctness of algorithmic segmentation
WO2020110774A1 (ja) * 2018-11-30 2020-06-04 富士フイルム株式会社 画像処理装置、画像処理方法、及びプログラム
CN110443121A (zh) * 2019-06-25 2019-11-12 国网福建省电力有限公司检修分公司 一种提高阀厅地面水迹识别率的方法
CN112834541B (zh) * 2020-01-03 2022-07-29 上海纽迈电子科技有限公司 一种钠含量及钠分布的测试方法
US11756240B2 (en) * 2020-02-28 2023-09-12 Shanghai United Imaging Intelligence Co., Ltd. Plugin and dynamic image modality reconstruction interface device
EP4165424A4 (en) * 2020-06-10 2024-07-17 Corsmed AB MAGNETIC RESONANCE IMAGING SIMULATION METHOD
US20220101518A1 (en) * 2020-09-25 2022-03-31 GE Precision Healthcare LLC System and method for stylizing a medical image
CN114500498B (zh) * 2021-12-28 2023-12-08 武汉联影医疗科技有限公司 Dicom文件传输与存储方法、系统、设备及存储介质
CN113744850A (zh) * 2021-09-06 2021-12-03 上海康达卡勒幅医疗科技有限公司 非配对多中心磁共振数据和谐化方法、存储介质及应用
CN113920065B (zh) * 2021-09-18 2023-04-28 天津大学 用于工业现场的视觉检测系统成像质量评价方法
CN114862799B (zh) * 2022-05-10 2023-06-23 同心医联科技（北京）有限公司 一种用于flair-mri序列的全自动脑体积分割方法
CN117640932B (zh) * 2024-01-25 2024-04-26 陕西通达伟业医疗供应链管理有限公司 用于远程医疗的神经内科图像压缩传输方法
DE102024206359B3 (de) * 2024-07-05 2025-09-11 Siemens Healthineers Ag Übertragung eines gewünschten Bildeindrucks zwischen unterschiedlichen Magnetresonanzbildgebungssystemen

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JP2015510412A (ja) * 2012-01-27 2015-04-09 コーニンクレッカ フィリップス エヌ ヴェ 定量的ｔ１マッピングを用いた、リスクに晒されたエリアの自動化された検出
JP2015522370A (ja) * 2012-07-16 2015-08-06 コーニンクレッカ フィリップス エヌ ヴェ コントラスト信号採点方程式による磁気共鳴コントラストの予測、点数づけ及び分類
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US20090292559A1 (en) * 2008-05-21 2009-11-26 Koninklijke Philips Electronics N. V. Medical workflow systems and methods with process workflow recordation
JP2011062508A (ja) * 2009-08-20 2011-03-31 Toshiba Corp 磁気共鳴イメージング装置および高周波コイルユニット
JP2015510412A (ja) * 2012-01-27 2015-04-09 コーニンクレッカ フィリップス エヌ ヴェ 定量的ｔ１マッピングを用いた、リスクに晒されたエリアの自動化された検出
JP2015522370A (ja) * 2012-07-16 2015-08-06 コーニンクレッカ フィリップス エヌ ヴェ コントラスト信号採点方程式による磁気共鳴コントラストの予測、点数づけ及び分類
JP2017506997A (ja) * 2014-01-17 2017-03-16 アーテリーズ インコーポレイテッド ４次元（４ｄ）フロー磁気共鳴画像化のための装置、方法、および物品

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022050402A1 (ja) * 2020-09-07 2022-03-10 国立大学法人 東京大学 装置、プログラム、方法及び試料セット
JP2022044508A (ja) * 2020-09-07 2022-03-17 国立大学法人 東京大学 装置、プログラム、方法及び試料セット
JP2023541572A (ja) * 2020-09-18 2023-10-03 コルスメド アクチエボラグ 磁気共鳴（ｍｒ）イメージングシミュレーションを対象とする方法
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CN110785674B (zh) 2022-09-16
WO2018172169A1 (en) 2018-09-27
US20200003857A1 (en) 2020-01-02
EP3379281A1 (en) 2018-09-26
CN110785674A (zh) 2020-02-11
US11249160B2 (en) 2022-02-15
EP3602095A1 (en) 2020-02-05

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