JP2016539704A5 - - Google Patents

Download PDF

Info

Publication number
JP2016539704A5
JP2016539704A5 JP2016536251A JP2016536251A JP2016539704A5 JP 2016539704 A5 JP2016539704 A5 JP 2016539704A5 JP 2016536251 A JP2016536251 A JP 2016536251A JP 2016536251 A JP2016536251 A JP 2016536251A JP 2016539704 A5 JP2016539704 A5 JP 2016539704A5
Authority
JP
Japan
Prior art keywords
image data
features
probability
voxel
energy
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.)
Granted
Application number
JP2016536251A
Other languages
English (en)
Japanese (ja)
Other versions
JP2016539704A (ja
JP6526669B2 (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/IB2014/066499 external-priority patent/WO2015083065A1/en
Publication of JP2016539704A publication Critical patent/JP2016539704A/ja
Publication of JP2016539704A5 publication Critical patent/JP2016539704A5/ja
Application granted granted Critical
Publication of JP6526669B2 publication Critical patent/JP6526669B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2016536251A 2013-12-06 2014-12-02 画像データからの骨の区分化 Active JP6526669B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201361912602P 2013-12-06 2013-12-06
US61/912,602 2013-12-06
PCT/IB2014/066499 WO2015083065A1 (en) 2013-12-06 2014-12-02 Bone segmentation from image data

Publications (3)

Publication Number Publication Date
JP2016539704A JP2016539704A (ja) 2016-12-22
JP2016539704A5 true JP2016539704A5 (enExample) 2018-01-18
JP6526669B2 JP6526669B2 (ja) 2019-06-05

Family

ID=52292975

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2016536251A Active JP6526669B2 (ja) 2013-12-06 2014-12-02 画像データからの骨の区分化

Country Status (5)

Country Link
US (1) US10096120B2 (enExample)
EP (1) EP3077990A1 (enExample)
JP (1) JP6526669B2 (enExample)
CN (1) CN105793894B (enExample)
WO (1) WO2015083065A1 (enExample)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017102467A1 (en) 2015-12-15 2017-06-22 Koninklijke Philips N.V. Method of data processing for computed tomography
CN109690618B (zh) * 2016-11-30 2020-08-07 皇家飞利浦有限公司 谱ct中的骨和硬斑块分割
EP3387997B1 (en) * 2017-04-13 2020-02-26 Siemens Healthcare GmbH Medical imaging device and method controlling one or more parameters of a medical imaging device
CN111615363B (zh) 2018-01-16 2024-09-10 皇家飞利浦有限公司 利用非谱成像系统的谱成像
CN109285176B (zh) * 2018-10-08 2021-11-02 东南大学 一种基于正则化图割的大脑组织分割方法
DE102019004303A1 (de) * 2019-06-18 2020-12-24 Ziehm Imaging Gmbh Verfahren und Vorrichtug der medizinischen Bildgebung zur Darstellung eines 3D-Volumens mit wenigstens einen eingebrachten Fremdobjekt
JP7729164B2 (ja) * 2021-10-14 2025-08-26 株式会社島津製作所 Ｘ線撮影方法およびｘ線撮影装置
CN114066886B (zh) * 2022-01-11 2022-05-06 北京威高智慧科技有限公司 骨骼分割边界确定方法、装置、电子设备及存储介质
CN120788611B (zh) * 2025-07-15 2026-01-23 中世康恺科技有限公司 一种基于x射线平板阵列的x射线扫描成像方法

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3258233B2 (ja) * 1996-03-29 2002-02-18 帝人株式会社 骨計測方法
US7015907B2 (en) * 2002-04-18 2006-03-21 Siemens Corporate Research, Inc. Segmentation of 3D medical structures using robust ray propagation
EP1605824A2 (en) 2003-03-25 2005-12-21 Imaging Therapeutics, Inc. Methods for the compensation of imaging technique in the processing of radiographic images
US20050036691A1 (en) * 2003-08-13 2005-02-17 Pascal Cathier Method and system for using structure tensors to detect lung nodules and colon polyps
EP1876955B1 (en) 2005-04-26 2016-11-23 Koninklijke Philips N.V. Double decker detector for spectral ct
DE102005049602B3 (de) * 2005-10-17 2007-04-19 Siemens Ag Verfahren und Vorrichtung zur Segmentierung zumindest einer Substanz in einem Röntgenbild
US8331637B2 (en) * 2006-03-03 2012-12-11 Medic Vision-Brain Technologies Ltd. System and method of automatic prioritization and analysis of medical images
DE102006015451A1 (de) 2006-03-31 2007-10-11 Siemens Ag Verfahren und Vorrichtung zur automatischen Differenzierung von Knochen oder anderen kalziumhaltigen Materialien und Kontrastmittel in Weichteilgewebe
US7760848B2 (en) * 2006-09-08 2010-07-20 General Electric Company Method and system for generating a multi-spectral image of an object
WO2008078231A1 (en) 2006-12-20 2008-07-03 Koninklijke Philips Electronics N.V. Imaging system for imaging substances present in an object of interest
DE102007017629B4 (de) * 2007-04-12 2011-03-24 Siemens Ag Verfahren zur Zuordnung von Voxeln eines CT-Bilddatensatzes zu einer von zwei Materialmischungen jeweils bestehend aus zwei von vier unterschiedlichen Materialien
US20090153551A1 (en) * 2007-12-17 2009-06-18 Electronics And Telecommunications Research Institute Method and apparatus for transferring pose of 3-dimensional characters
WO2009131109A1 (ja) * 2008-04-22 2009-10-29 株式会社 日立メディコ 医用画像処理装置、医用画像処理方法、プログラム
DE102008030552A1 (de) * 2008-06-27 2009-12-31 Siemens Aktiengesellschaft Verfahren zur Erzeugung von Bilddaten zu einer virtuell vorgebbaren Röntgenröhrenspannung aus ersten und zweiten CT-Bilddaten
JP2010087614A (ja) * 2008-09-29 2010-04-15 Toshiba Corp 画像処理装置、画像処理方法、及び、プログラム
US8294717B2 (en) * 2009-06-26 2012-10-23 Kabushiki Kaisha Toshiba Advanced clustering method for material separation in dual energy CT
US8644608B2 (en) 2009-10-30 2014-02-04 Eiffel Medtech Inc. Bone imagery segmentation method and apparatus
US9547889B2 (en) * 2011-07-15 2017-01-17 Koninklijke Philips N.V. Image processing for spectral CT
CN102419864B (zh) * 2011-09-05 2013-10-16 东软集团股份有限公司 一种提取脑部ct图像骨骼方法及装置
CN103098090B (zh) * 2011-12-21 2015-01-21 中国科学院自动化研究所 多参数三维磁共振图像脑肿瘤分割方法
WO2014128595A1 (en) 2013-02-21 2014-08-28 Koninklijke Philips N.V. Structure propagation restoration for spectral ct
US9305351B2 (en) * 2013-06-16 2016-04-05 Larry D. Partain Method of determining the probabilities of suspect nodules being malignant

Similar Documents

Publication Publication Date Title
JP2016539704A5 (enExample)
US10453200B2 (en) Automated segmentation using deep learned priors
Liu et al. Probability density difference-based active contour for ultrasound image segmentation
CN105493140B (zh) 图像去模糊方法及系统
JP2016507320A5 (enExample)
EP2718870B1 (en) Motion-blurred imaging enhancement method and system
JP6570145B2 (ja) 画像を処理する方法、プログラム、代替的な投影を構築する方法および装置
JP2019536538A5 (enExample)
CN115699079B (zh) 图像处理方法、装置、计算设备和介质
JP2018538032A5 (enExample)
Tian et al. A vessel active contour model for vascular segmentation
JP2019535009A5 (enExample)
JP2016501606A5 (enExample)
US20130216116A1 (en) Method and system for image segmentation
Iyer et al. Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT
Hemmati et al. Semi-automatic 3D segmentation of carotid lumen in contrast-enhanced computed tomography angiography images
US10219688B2 (en) System and method for the selection of optical coherence tomography slices
CN106558057B (zh) 一种医学图像分割方法
CN107810518B (zh) 图像处理系统和方法
CN104751457B (zh) 一种新的基于变分能量的肝脏分割方法
CN107403465B (zh) 基于结构先验与深度学习的城市场景分段平面重建方法
Hou et al. Image enhancement and restoration: state of the art of variational retinex models
Zhou et al. A robust approach for automated lung segmentation in thoracic CT
JP7321671B2 (ja) 情報処理装置、情報処理方法、情報処理システムおよびプログラム
CN109544565A (zh) 一种基于dc-gmrf水平集的创面图像分割方法