WO2018129890A1 - 基于医学影像数据的平滑几何模型建立方法 - Google Patents

基于医学影像数据的平滑几何模型建立方法 Download PDF

Info

Publication number
WO2018129890A1
WO2018129890A1 PCT/CN2017/092746 CN2017092746W WO2018129890A1 WO 2018129890 A1 WO2018129890 A1 WO 2018129890A1 CN 2017092746 W CN2017092746 W CN 2017092746W WO 2018129890 A1 WO2018129890 A1 WO 2018129890A1
Authority
WO
WIPO (PCT)
Prior art keywords
medical image
image data
model
establishing
dimensional
Prior art date
Application number
PCT/CN2017/092746
Other languages
English (en)
French (fr)
Inventor
刘渊豪
萧明城
Original Assignee
南京中硼联康医疗科技有限公司
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.)
Filing date
Publication date
Application filed by 南京中硼联康医疗科技有限公司 filed Critical 南京中硼联康医疗科技有限公司
Priority to EP17891766.2A priority Critical patent/EP3566747A4/en
Priority to EP24175312.8A priority patent/EP4390856A2/en
Priority to JP2019537260A priority patent/JP6938647B2/ja
Publication of WO2018129890A1 publication Critical patent/WO2018129890A1/zh
Priority to US16/459,952 priority patent/US11087524B2/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00—Radiation therapy
    • A61N5/10—X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/103—Treatment planning systems
    • A61N5/1031—Treatment planning systems using a specific method of dose optimization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/08—Volume rendering
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00—Radiation therapy
    • A61N5/10—X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00—Radiation therapy
    • A61N5/10—X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/103—Treatment planning systems
    • A61N5/1031—Treatment planning systems using a specific method of dose optimization
    • A61N2005/1034—Monte Carlo type methods; particle tracking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/41—Medical
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20—Indexing scheme for editing of 3D models
    • G06T2219/2021—Shape modification

Definitions

  • the invention relates to a geometric model establishing method, in particular to a method for establishing a smooth geometric model based on medical image data.
  • neutron capture therapy combines the above two concepts, such as boron neutron capture therapy, by the specific agglomeration of boron-containing drugs in tumor cells, combined with precise neutron beam regulation, providing better radiation than traditional radiation. Cancer treatment options.
  • BNCT Boron Neutron Capture Therapy
  • Three-dimensional models are widely used in scientific experimental analysis and scientific experimental simulation.
  • MCNP Computed to Physical Computed to Physical Component
  • the Monte Carlo method is currently a tool for accurately simulating the collision trajectory and energy distribution of nuclear particles within the three-dimensional space of the irradiation target.
  • the combination of the Monte Carlo method and the complex three-dimensional human anatomical model represents the leap of simulation in computer technology.
  • Accurate human body dose assessment is very beneficial for radiation therapy in diagnostic radiology.
  • a variety of human body models have been successfully established internationally and combined with Monte Carlo simulation programs to accurately calculate and estimate the absorbed dose of the human body in a radiation environment.
  • the geometric description required for the successful conversion of the human 3D anatomical model to the Monte Carlo program is

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Graphics (AREA)
  • Biomedical Technology (AREA)
  • Software Systems (AREA)
  • Geometry (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Veterinary Medicine (AREA)
  • Radiology & Medical Imaging (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Architecture (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Radiation-Therapy Devices (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)

Abstract

一种基于医学影像数据的平滑几何模型建立方法，包括：输入或读取医学影像数据；根据医学影像数据建立三维医学影像体素模型，将三维医学影像体素模型平滑化，建立三维体素假体组织模型；或者，根据医学影像数据建立三维体素假体组织模型，将三维体素假体组织模型平滑化。基于医学影像数据的平滑几何模型建立方法将三维医学影像体素模型或三维体素假体组织模型进行平滑化，更加接近人体器官的真实情况，从而提高剂量计算可靠度以提升治疗质量。

Description

基于医学影像数据的平滑几何模型建立方法 技术领域
本发明涉及一种几何模型建立方法，尤其涉及一种基于医学影像数据的平滑几何模型建立方法。
背景技术
随着原子科学的发展，例如钴六十、直线加速器、电子射束等放射线治疗已成为癌症治疗的主要手段之一。然而传统光子或电子治疗受到放射线本身物理条件的限制，在杀死肿瘤细胞的同时，也会对射束途径上大量的正常组织造成伤害；另外由于肿瘤细胞对放射线敏感程度的不同，传统放射治疗对于较具抗辐射性的恶性肿瘤(如：多行性胶质母细胞瘤(glioblastoma multiforme)、黑色素细胞瘤(melanoma))的治疗成效往往不佳。
为了减少肿瘤周边正常组织的辐射伤害，化学治疗(chemotherapy)中的标靶治疗概念便被应用于放射线治疗中；而针对高抗辐射性的肿瘤细胞，目前也积极发展具有高相对生物效应(relative biological effectiveness,RBE)的辐射源，如质子治疗、重粒子治疗、中子捕获治疗等。其中，中子捕获治疗便是结合上述两种概念，如硼中子捕获治疗，借由含硼药物在肿瘤细胞的特异性集聚，配合精准的中子射束调控，提供比传统放射线更好的癌症治疗选择。
硼中子捕获治疗(Boron Neutron Capture Therapy,BNCT)是利用含硼(10B)药物对热中子具有高捕获截面的特性，借由10B(n,α)7Li中子捕获及核分裂反应产生4He和7Li两个重荷电粒子，两粒子的总射程约相当于一个细胞大小，因此对于生物体造成的辐射伤害能局限在细胞层级，当含硼药物选择性地聚集在肿瘤细胞中，搭配适当的中子射源，便能在不对正常组织造成太大伤害的前提下，达到局部杀死肿瘤细胞的目的。
三维模型广泛应用于科学实验分析、科学实验模拟领域。比如在核辐射与防护领域，为了模拟人体在一定辐射条件下的吸收剂量，常常需要利用计算机技术对医学影像数据进行各种处理建立精确的MCNP需要的晶格模型，并结合MCNP(蒙特卡罗程序)进行模拟计算。
蒙特卡罗方法是目前能够对辐照目标内部三维空间核粒子碰撞轨迹和能量分布进行精确模拟的工具，蒙特卡罗方法与复杂的三维人体解剖模型相结合代表了模拟在计算机技术中的跃进。在诊断放射检查中，精确的人体器官剂量评估对于放射治疗是非常有益的。目前，国际上已经成功建立多种人体模型并结合蒙特卡罗模拟程序，对人体在辐射环境下的吸收剂量进行精确性的计算评估。人体三维解剖模型成功转换为蒙特卡罗程序所需要的几何描述是进

Claims (1)

  1. Figure PCTCN2017092746-appb-100001
PCT/CN2017/092746 2017-01-11 2017-07-13 基于医学影像数据的平滑几何模型建立方法 WO2018129890A1 (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP17891766.2A EP3566747A4 (en) 2017-01-11 2017-07-13 MEDICAL IMAGE DATA-BASED METHOD FOR PRODUCING A SMOOTH GEOMETRIC MODEL
EP24175312.8A EP4390856A2 (en) 2017-01-11 2017-07-13 Medical image data-based method for establishing smooth geometric model
JP2019537260A JP6938647B2 (ja) 2017-01-11 2017-07-13 医用画像データに基づく平滑化幾何的モデルの構築方法
US16/459,952 US11087524B2 (en) 2017-01-11 2019-07-02 Method for establishing smooth geometric model based on data of medical image

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710017475.5 2017-01-11
CN201710017475.5A CN108310677B (zh) 2017-01-11 2017-01-11 基于医学影像数据的平滑几何模型建立方法

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US16/459,952 Continuation US11087524B2 (en) 2017-01-11 2019-07-02 Method for establishing smooth geometric model based on data of medical image

Publications (1)

Publication Number Publication Date
WO2018129890A1 true WO2018129890A1 (zh) 2018-07-19

Family

ID=62839197

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/092746 WO2018129890A1 (zh) 2017-01-11 2017-07-13 基于医学影像数据的平滑几何模型建立方法

Country Status (6)

Country Link
US (1) US11087524B2 (zh)
EP (2) EP3566747A4 (zh)
JP (1) JP6938647B2 (zh)
CN (1) CN108310677B (zh)
TW (1) TWI647657B (zh)
WO (1) WO2018129890A1 (zh)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3895760B1 (en) * 2017-08-24 2024-02-28 Neuboron Medtech Ltd. Neutron capture therapy system
CN113877073B (zh) * 2020-07-03 2023-09-12 中硼(厦门)医疗器械有限公司 放射治疗系统及其治疗计划生成方法
JP2022052210A (ja) * 2020-09-23 2022-04-04 キヤノン株式会社 情報処理装置、情報処理方法及びプログラム
WO2022198554A1 (zh) * 2021-03-25 2022-09-29 中国科学院近代物理研究所 三维图像引导运动器官定位方法、系统及存储介质
CN113341083A (zh) * 2021-04-27 2021-09-03 清华大学 基于动物呼吸道体外仿生的给药剂量评价方法及装置
CN116152124B (zh) * 2023-04-23 2023-09-15 广东欧谱曼迪科技有限公司 一种脉管模型的平滑方法、装置、电子设备及存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006138513A1 (en) * 2005-06-16 2006-12-28 Nomos Corporation Variance reduction simulation system, program product, and related methods
US20070282575A1 (en) * 2006-06-05 2007-12-06 Cambridge Research & Instrumentation, Inc. Monte Carlo simulation using GPU units on personal computers
CN101751697A (zh) * 2010-01-21 2010-06-23 西北工业大学 一种基于统计模型的三维场景重建方法
CN104267425A (zh) * 2014-10-16 2015-01-07 中国科学院合肥物质科学研究院 一种基于CT数据的内照射HPGe探测器探测效率确定方法
CN106163403A (zh) * 2013-12-18 2016-11-23 伊利克塔股份有限公司 Ct图像中的目标特定剂量和散射估计

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1658878A1 (en) * 2004-11-17 2006-05-24 The European Community, represented by the European Commission BNCT treatment planning
TWI268148B (en) 2004-11-25 2006-12-11 Univ Chung Yuan Christian Image analysis method for vertebral disease which comprises 3D reconstruction method and characteristic identification method of unaligned transversal slices
CN100561518C (zh) * 2007-06-22 2009-11-18 崔志明 基于感兴趣区域的自适应医学序列图像插值方法
US8111256B2 (en) * 2008-03-11 2012-02-07 Ford Motor Company Method of altering a mesh model using model independent dirichlet parametrization
CN100589775C (zh) * 2008-03-11 2010-02-17 微创医疗器械(上海)有限公司 一种重建人体器官三维表面的方法及系统
JP5241357B2 (ja) 2008-07-11 2013-07-17 三菱プレシジョン株式会社 生体データモデル作成方法及びその装置
US8139709B2 (en) * 2008-09-15 2012-03-20 University Of Utah Research Foundation Staggered circular scans for CT imaging
US9205279B2 (en) * 2009-07-17 2015-12-08 Cyberheart, Inc. Heart tissue surface contour-based radiosurgical treatment planning
DE212011100130U1 (de) * 2010-08-05 2013-06-24 Philips Intellectual Property & Standards Gmbh Auf gleicher Ebene und interaktiv stattfindende Oberflächennetz-Anpassung
JP5641503B2 (ja) * 2010-10-15 2014-12-17 国立大学法人 筑波大学 マルチステップ・ラティス・ボクセル法
CN102580230B (zh) * 2012-01-10 2014-03-12 合肥工业大学 基于体元活度的精确模拟核医学非均匀剂量分布方法
CN103065358B (zh) * 2013-01-14 2015-03-18 中国科学院合肥物质科学研究院 一种基于影像体元运算的器官几何重建方法
US10292670B2 (en) * 2013-12-04 2019-05-21 Elekta Ltd. Method and system for dose calculation based on continuous material indexing
US9524582B2 (en) * 2014-01-28 2016-12-20 Siemens Healthcare Gmbh Method and system for constructing personalized avatars using a parameterized deformable mesh
CN106133790B (zh) * 2014-03-28 2020-09-29 皇家飞利浦有限公司 用于在组织种类分离的帮助下基于磁共振图像生成一幅或多幅计算机断层摄影图像的方法和设备
WO2016038604A1 (en) * 2014-09-11 2016-03-17 B. G. Negev Technologies And Applications Ltd. (Ben-Gurion University) Interactive segmentation
US11547868B2 (en) * 2014-10-17 2023-01-10 Koninklijke Philips N.V. System for real-time organ segmentation and tool navigation during tool insertion in interventional therapy and method of operation thereof
JP6467654B2 (ja) * 2014-11-19 2019-02-13 東芝エネルギーシステムズ株式会社 医用画像処理装置、方法、プログラム及び放射線治療装置
EP3287914A1 (de) * 2016-08-23 2018-02-28 Siemens Healthcare GmbH Ermittlung von ergebnisdaten auf basis von medizinischen messdaten aus verschiedenen messungen

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006138513A1 (en) * 2005-06-16 2006-12-28 Nomos Corporation Variance reduction simulation system, program product, and related methods
US20070282575A1 (en) * 2006-06-05 2007-12-06 Cambridge Research & Instrumentation, Inc. Monte Carlo simulation using GPU units on personal computers
CN101751697A (zh) * 2010-01-21 2010-06-23 西北工业大学 一种基于统计模型的三维场景重建方法
CN106163403A (zh) * 2013-12-18 2016-11-23 伊利克塔股份有限公司 Ct图像中的目标特定剂量和散射估计
CN104267425A (zh) * 2014-10-16 2015-01-07 中国科学院合肥物质科学研究院 一种基于CT数据的内照射HPGe探测器探测效率确定方法

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"International Commission on Radiation Units and Measurements, Photon, electron, proton and neutron interaction data for body tissues, ICRU-46", TECH. REP., 1992
BARBARA VANDERSTRAETEN ET AL.: "Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: a multi-center study", PHYS. MED. BIOL., vol. 52, 2007, pages 539 - 562, XP020113168, doi:10.1088/0031-9155/52/3/001
See also references of EP3566747A4

Also Published As

Publication number Publication date
JP6938647B2 (ja) 2021-09-22
CN108310677A (zh) 2018-07-24
EP4390856A2 (en) 2024-06-26
TWI647657B (zh) 2019-01-11
US11087524B2 (en) 2021-08-10
JP2020503961A (ja) 2020-02-06
US20190325637A1 (en) 2019-10-24
CN108310677B (zh) 2020-02-28
TW201826224A (zh) 2018-07-16
EP3566747A4 (en) 2020-02-19
EP3566747A1 (en) 2019-11-13

Similar Documents

Publication Publication Date Title
TWI639134B (zh) Method for establishing geometric model based on medical image
WO2018129890A1 (zh) 基于医学影像数据的平滑几何模型建立方法
TWI610086B (zh) 射束的照射角度評價方法
WO2018129889A1 (zh) 基于医学影像的组织元素质量比例解构方法及几何模型建立方法
WO2022001594A1 (zh) 放射治疗系统及其治疗计划生成方法
CN106621071B (zh) 基于云计算的治疗计划系统及其使用方法
CN107292075A (zh) 增进放射治疗系统计算效益的方法
Yeom et al. A dose voxel kernel method for rapid reconstruction of out-of-field neutron dose of patients in pencil beam scanning (PBS) proton therapy
WO2021249241A1 (zh) 放射治疗系统及其治疗计划生成方法
Krstic et al. MCNP simulation of the dose distribution in liver cancer treatment for BNC therapy
Trindade et al. Comparative dosimetry of prostate brachytherapy with I-125 and Pd-103 seeds via SISCODES/MCNP
Alghamdi et al. A high-resolution anthropomorphic voxel-based tomographic phantom for proton therapy of the eye
Cheon et al. Development of advanced skin dose evaluation technique using a tetrahedral-mesh phantom in external beam radiotherapy: a Monte Carlo simulation study
CN106362309A (zh) 一种定制肿瘤放射治疗挡板的方法
Su et al. A new DOSXYZnrc method for Monte Carlo simulations of 4D dose distributions
Kang et al. Electron dose distributions caused by the contact-type metallic eye shield: Studies using Monte Carlo and pencil beam algorithms
Ting et al. Treatment Planning System in Radiotherapy: A Short Review
Han et al. Combined BNCT-CIRT treatment planning for glioblastoma using the effect-based optimization
Abella et al. Comparison of MCNP5 dose calculations inside the RANDO phantom irradiated with a MLC LinAc rhombus-shaped photon beam against treatment planning system PLUNC
Bednarz Applications of Computational Phantoms
Oliver The IAEA programme of action for cancer therapy

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17891766

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2019537260

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2017891766

Country of ref document: EP

Effective date: 20190807