公开(公告)号：WO2018139891A1

公开(公告)日：2018-08-02

申请号：PCT/KR2018/001155

申请日：2018-01-26

Applicant: 성균관대학교산학협력단

Inventor： 한영이 ,  천원중

IPC: A61N5/10

CPC classification number: A61N5/103 ,  A61N5/1042 ,  A61N5/1071 ,  A61N5/1075 ,  A61N2005/1074

Abstract: 방사선 치료 평가 시스템을 제공한다. 본 발명의 일 실시예에 따른 방사선 치료 평가 시스템은 대상물의 조직에 삽입되며, 금속 재질로 이루어진 적어도 하나의 측정 마커(610, 620, 630)를 포함하는 측정 마커 유닛(600), 상기 조직에 브래그 피크(bragg peak) 특성을 갖는 입자선을 조사하는 입자선 조사기(500), 상기 측정 마커 유닛(600)에 대한 방사선 영상을 촬영하는 적어도 하나의 방사선 감지 카메라(300) 및 상기 촬영된 방사선 영상을 이용하여, 방사선을 방출한 측정 마커의 카메라-기준 좌표를 산출하는 컴퓨팅 장치(400)를 포함하는 것일 수 있다.

公开(公告)号：WO2017178257A1

公开(公告)日：2017-10-19

申请号：PCT/EP2017/057793

申请日：2017-04-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： JOE ANTO, Gipson ,  KRISHNAIYER RAMAN, Sivaramakrishnan ,  RANGANATHAN, Vaitheeswaran

IPC: A61N5/10

CPC classification number: A61N5/1031 ,  A61N5/103 ,  A61N5/1039 ,  A61N5/1048 ,  A61N2005/1074

Abstract: A radiation therapy system (100) includes a radiation therapy (RT) optimizer unit (102) and an interactive planning interface unit (120). The RT optimizer unit (102) receives at least one target structure and at least one organ-at-risk (OAR) structure segmented from a volumetric image (108), and generates an optimized RT plan (140) based on dose objectives (200-204, 210-222, 320), at least one dose objective of the dose objectives corresponding to each of the at least one target structure (210-222) and the at least one OAR structure (200-204). The optimized RT plan includes a planned radiation dose for each voxel of the volumetric image using external beam radiation therapy, wherein the RT optimizer unit operates iteratively. The interactive planning interface unit (120) interactively controls each of the dose objectives through controls (300) displayed on a single display (126) of a display device (124), operates the RT optimizer unit to iteratively compute the planned radiation dose according to the controls, and provide visual feedback (310, 134) on the single display according to progress of the RT optimizer unit after each trial.

Abstract translation: 放射疗法系统（100）包括放射疗法（RT）优化器单元（102）和交互式计划接口单元（120）。 RT优化器单元（102）接收至少一个目标结构和从体积图像（108）分割的至少一个风险器官（OAR）结构，并且基于剂量目标（200）产生优化的RT计划（140） 所述剂量目标的至少一个剂量目标对应于所述至少一个目标结构（210-222）和所述至少一个OAR结构（200-204）中的每一个。 优化的RT计划包括使用外部束放射疗法对体积图像的每个体素计划的辐射剂量，其中RT优化器单元迭代地操作。 交互式计划界面单元（120）通过在显示设备（124）的单个显示器（126）上显示的控件（300）来交互式地控制每个剂量目标，操作RT优化器单元以根据以下方式迭代地计算计划的辐射剂量 控制，并根据RT优化器单元在每次试验之后的进展在单个显示器上提供视觉反馈（310,134）。

公开(公告)号：WO2017063699A1

公开(公告)日：2017-04-20

申请号：PCT/EP2015/073854

申请日：2015-10-15

Applicant: BRAINLAB AG

Inventor： SCHÄTTI, Andreas ,  SCHELL, Stefan ,  GRUMMT, Robert

IPC: A61N5/10

CPC classification number: A61N5/103 ,  A61N5/1047 ,  A61N2005/1087

Abstract: Disclosed is a computer-implemented medical data processing method for determining an irradiation trajectory for the movement of a treatment device for irradiating an anatomical structure with ionising treatment radiation, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S1), at the at least one processor, medical image data describing a medical image of the anatomical structure, wherein the anatomical structure comprises both a target region which defines a target of the irradiation and non-target tissue, wherein irradiation of the non-target tissue shall be avoided; b) determining (S2), by the at least one processor and based on the medical image data, image concavity data describing a value of a measure of concavity of at least part of the target region described by the medical image; c) acquiring (S3), at the at least one processor, predetermined concavity data describing a predetermined value of the measure of concavity for the at least part of the target region; d) determining (S4), by the at least one processor and based on the image concavity data and the predetermined concavity data, partition data describing whether the at least part of the target region is to be partitioned into target region partitions; e) if the partitioning data describes that the target region is to be partitioned, determining (S5), by the at least one processor and based on the medical image data, partition boundary data describing the position of a partition boundary between the target region partitions, wherein the position of the partition boundary is defined in a reference system in which positions in the medical image are defined; and f) determining (S6), by the at least one processor and based on the partition boundary data, irradiation trajectory data describing at least one trajectory of the treatment device usable for irradiating a target region partition with the ionising treatment radiation, wherein at least one trajectory is determined individually for each target region partition.

Abstract translation: 公开了一种计算机实现的医疗数据处理方法，用于确定用于使用电离治疗辐射照射解剖结构的治疗装置的移动的照射轨迹，所述方法包括在至少一个处理器 至少一个计算机的步骤：a）在所述至少一个处理器处获取描述所述解剖结构的医学图像的医学图像数据（S1），其中所述解剖结构既包括定义所述解剖结构的目标的目标区域 照射组织和非靶组织，其中应避免非靶组织的照射; b）由所述至少一个处理器并且基于所述医学图像数据确定（S2）图像凹面数据，所述图像凹面数据描述由所述医学图像描述的所述目标区域的至少一部分的凹面度量的值; c）在所述至少一个处理器处获取（S3）预定凹面数据，所述预定凹面数据描述所述目标区域的所述至少一部分的凹面度量的预定值; d）由所述至少一个处理器并且基于所述图像凹度数据和所述预定凹面数据来确定（S4）描述所述目标区域的所述至少一部分是否要被划分成目标区域分区的分区数据; e）如果分区数据描述目标区域将被分区，则由至少一个处理器并基于医学图像数据确定（S5）描述目标区域分区之间的分区边界的位置的分区边界数据 其中，在定义医用图像中的位置的参考系统中定义分区边界的位置; 以及f）由所述至少一个处理器并且基于所述分区边界数据确定（S6）描述可用于用所述电离治疗辐射照射目标区域分区的所述治疗装置的至少一个轨迹的辐照轨迹数据，其中至少一个 一个轨迹是针对每个目标区域分区单独确定的。

公开(公告)号：WO2017001441A1

公开(公告)日：2017-01-05

申请号：PCT/EP2016/065076

申请日：2016-06-29

Applicant: BRAINLAB AG

Inventor： BERLINGER, Kajetan ,  KAISER, Hagen

IPC: A61B6/00 ,  A61N5/10 ,  G06T7/00 ,  A61B6/04

CPC classification number: G06T7/74 ,  A61B6/0407 ,  A61B6/4085 ,  A61B6/5229 ,  A61B6/5235 ,  A61N5/103 ,  A61N5/1039 ,  A61N5/1049 ,  A61N2005/1062 ,  G06T7/33 ,  G06T19/20 ,  G06T2207/10004 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20092 ,  G06T2207/20221 ,  G06T2207/30004 ,  G06T2207/30168 ,  G06T2210/41 ,  G06T2219/2004 ,  G06T2219/2016

Abstract: A computer implemented method for performing fusion of 3D image data, which represent at least a part of a patient's body, with two 2D images of the patient's body with a known spatial relation between the viewing directions of the 2D images, comprising the steps of: -acquiring the 3D image data, -acquiring the two 2D images, -calculating two virtual images from the 3D image data, the two virtual images corresponding to the two 2D images, -classifying the two 2D images into a primary and a secondary image, -determining a primary alignment between the primary image and the corresponding virtual image such that they match, -calculating a spatial axis relative to the viewing directions of the two 2D images from the primary alignment and a predetermined point which is imaged in the virtual image which corresponds to the primary image, wherein the spatial axis is a line in space on which the predetermined point lies, and -performing fusion of the 3D image data with the two 2D images based on the calculated spatial axis in order to obtain a virtual position of the 3D image data in space.

Abstract translation: 一种计算机实现的方法，用于执行表示所述患者身体的至少一部分的3D图像数据与所述2D图像的观看方向之间的已知空间关系的所述患者身体的两个2D图像的融合，所述方法包括以下步骤： - 获取3D图像数据， - 获取两个2D图像， - 从3D图像数据计算两个虚拟图像，对应于两个2D图像的两个虚拟图像， - 将两个2D图像分类为主图像和次图像， - 确定主图像和相应虚拟图像之间的主要对准，使得它们匹配，相对于来自主对准的两个2D图像的观看方向和在虚像中被成像的预定点计算空间轴， 对应于主图像，其中空间轴是预定点所在的空间中的线，并且执行3D图像数据与基于o的两个2D图像的融合 n计算的空间轴，以便获得空间中的3D图像数据的虚拟位置。

公开(公告)号：WO2016116868A1

公开(公告)日：2016-07-28

申请号：PCT/IB2016/050265

申请日：2016-01-20

Applicant: KONINKLIJKE PHILIPS N.V. ,  MASSACHUSETTS GENERAL HOSPITAL

Inventor： PAPP, David ,  UNKELBACH, Jan ,  BORTFELD, Thomas ,  BAL, Matthieu Frederic

IPC: A61N5/10

CPC classification number: A61N5/103 ,  A61N5/1047 ,  A61N5/1081 ,  A61N2005/1041

Abstract: A method includes determining a set of candidate beam directions. The radiation therapy method further includes selecting a sub-set of non-coplanar beam directions of interest from the set of candidate beam directions based on a fluence optimization using a beam angle selection algorithm. The radiation therapy method further includes determining a set of delivery options based on a beam trajectory algorithm, wherein the delivery options at least include a non-coplanar trajectory during radiation treatment delivery. The radiation therapy method further includes optimizing the delivery options to generate a VMAT radiation plan with non-coplanar beam trajectories. The optimizing of the delivery options includes optimizing at least one machine parameter.

Abstract translation: 一种方法包括确定一组候选波束方向。 辐射治疗方法还包括基于使用波束角选择算法的注量优化，从所述候选波束方向组中选择非共面波束方向子集。 放射治疗方法还包括基于束轨迹算法确定一组递送选项，其中递送选项至少包括放射治疗递送期间的非共面轨迹。 辐射治疗方法还包括优化递送选项以产生具有非共面波束轨迹的VMAT辐射计划。 交付选项的优化包括优化至少一个机器参数。

公开(公告)号：WO2016070190A1

公开(公告)日：2016-05-06

申请号：PCT/US2015/058658

申请日：2015-11-02

Applicant: SIRIS MEDICAL, INC.

Inventor： CARPENTER, Colin Morehouse ,  DAVIDI, Ran ,  PATTISON, Adam J.

IPC: A61N5/10 ,  G06Q50/22

CPC classification number: A61N5/103 ,  A61N2005/1041 ,  A61N2005/1074

Abstract: The treatment planning engine empowers radiation treatment decision makers, such as a physician, to efficiently identify effective radiation treatment outcomes for a given patient during the contouring stage. Specifically, using the treatment planning engine, the physician may iteratively and in real-time evaluate different treatment outcomes for a patient before selecting an optimal outcome that will guide the delivery of radiation treatment to the patient. By providing real-time information as to potential toxicity and treatment efficacy during the contouring stage, the physician is empowered to make informed decisions at the preliminary contouring stage.

Abstract translation: 治疗计划引擎使辐射治疗决策者（如医师）能够在轮廓加工阶段有效地识别给定患者的有效辐射治疗结果。 具体来说，使用治疗计划引擎，医生可以迭代地并且实时评估患者的不同治疗结果，然后选择将指导辐射治疗给患者的最佳结果。 通过在轮廓加工阶段提供关于潜在毒性和治疗功效的实时信息，医生有权在初步轮廓阶段做出明智的决定。

公开(公告)号：WO2016008052A1

公开(公告)日：2016-01-21

申请号：PCT/CA2015/050664

申请日：2015-07-16

Applicant: DALHOUSIE UNIVERSITY

Inventor： MACDONALD, R. Lee ,  THOMAS, Christopher G.

IPC: A61N5/00 ,  A61B6/03 ,  A61N5/10 ,  G06F19/00

CPC classification number: A61N5/1039 ,  A61B5/055 ,  A61B6/032 ,  A61B6/037 ,  A61B6/504 ,  A61N5/103 ,  A61N5/1047 ,  A61N5/1081 ,  G06F19/3481

Abstract: Embodiments generally relate to cancer treatment with radiation sources. The present technology discloses techniques that can enable an automatic generation of radiotherapy trajectories using anatomical data of a patient. It can improve conformal dose distributions and target volume coverage by considering a radiation risk decided by an organs-at-risk (OAR)'s relative location to the target volume and the radiation source.

Abstract translation: 实施方案通常涉及用辐射源进行的癌症治疗。 本技术公开了能够使用患者的解剖学数据自动生成放射治疗轨迹的技术。 通过考虑由风险器官（OAR）与目标体积和辐射源的相对位置决定的辐射风险，可以改善适形剂量分布和靶体积覆盖。

公开(公告)号：WO2015190102A1

公开(公告)日：2015-12-17

申请号：PCT/JP2015/002917

申请日：2015-06-10

Applicant: 国立研究開発法人放射線医学総合研究所

Inventor： 稲庭　拓 ,  古川　卓司 ,  野田　耕司

IPC: A61N5/10

CPC classification number: A61N5/1039 ,  A61B6/032 ,  A61B6/482 ,  A61B6/5217 ,  A61B6/5235 ,  A61B6/563 ,  A61N5/103 ,  A61N5/1049 ,  A61N5/1065 ,  A61N5/1069 ,  A61N5/1077 ,  A61N2005/1061 ,  A61N2005/1087

Abstract: ビーム照射対象確認装置１は、エネルギー切替部１１によって少なくとも２種類のＸ線を垂直Ｘ線照射部１３により照射するＸ線切替照射処理部６ａと、前記垂直Ｘ線照射部１３から照射されたＸ線を検出する垂直Ｘ線検出部１４と、前記垂直Ｘ線検出部１４により取得した少なくとも２種類のＸ線の検出情報に基づいて治療前確認画像２０Ｂ，２０Ｃを作成する治療前確認画像作成処理部７と、治療計画段階で得られた基準画像２０Ａを取得する基準画像取得部３と、前記治療前確認画像２０Ｂ，２０Ｃと前記基準画像２０Ａとを比較する比較処理部８ａと、前記比較処理部８ａにより得られた比較結果を出力する結果出力部４とを有する。これにより、低被ばくかつ簡便に、治療対象者の体内状況を測定し、治療計画の変更の要否を判定し得る治療用ビーム照射対象確認装置を提供する。

Abstract translation: 射束照射目标确认装置（1）具有：X射线切换照射处理部（6a），其利用能量切换部（13）通过垂直X射线照射部（13）照射至少2种X射线， 11），用于检测从垂直X射​​线照射单元（13）辐射的X射线的垂直X射线检测单元（14），用于产生预处理确认图像的预处理确认图像创建处理单元（7） （20B），基于由所述垂直X射线检测单元（14）获取的所述至少两种X射线的检测信息，获取参考图像（20A）的参考图像获取单元（3） 在比较处理单元（8a）中比较预处理确认图像（20B，20C）和参考图像（20A），以及结果输出单元（4），用于输出由 比较处理单元（8a）。 由此提供了一种用于治疗的射束照射目标确认装置，由此可以测量治疗对象体内的状况，并且可以容易地并且以低辐射照射来确定改变治疗计划的需要。

公开(公告)号：WO2015175806A1

公开(公告)日：2015-11-19

申请号：PCT/US2015/030833

申请日：2015-05-14

Applicant: THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA

Inventor： UDUPA, Jayaram, K. ,  ODHNER, Dewey ,  TORIGIAN, Drew, A. ,  TONG, Yubing

IPC: G06K9/62

CPC classification number: G06K9/4638 ,  A61N5/103 ,  A61N5/1039 ,  G06K2209/051 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/143 ,  G06T7/70 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20016 ,  G06T2207/20128 ,  G06T2207/30004

Abstract: A computerized method of providing automatic anatomy recognition (AAR) includes gathering image data from patient image sets, formulating precise definitions of each body region and organ and delineating them following the definitions, building hierarchical fuzzy anatomy models of organs for each body region, recognizing and locating organs in given images by employing the hierarchical models, and delineating the organs following the hierarchy. The method may be applied, for example, to body regions including the thorax, abdomen and neck regions to identify organs.

Abstract translation: 提供自动解剖识别（AAR）的计算机化方法包括从患者图像集合中收集图像数据，根据定义制定每个身体区域和器官的精确定义并描绘它们，构建每个身体区域的器官的分级模糊解剖模型，识别和 通过采用分层模型来定位给定图像中的器官，并描绘层次结构之后的器官。 该方法可以应用于例如包括胸部，腹部和颈部区域的身体区域以识别器官。

公开(公告)号：WO2015091409A1

公开(公告)日：2015-06-25

申请号：PCT/EP2014/077854

申请日：2014-12-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： DEHGHAN MARVAST, Ehsan ,  VIGNON, Francois Guy Gerard Marie ,  JAIN, Ameet Kumar ,  BHARAT, Shyam ,  TAHMASEBI MARAGHOOSH, Amir Mohammad ,  BINNEKAMP, Dirk

IPC: A61B8/08 ,  A61N5/10 ,  A61M25/01 ,  A61B8/00 ,  A61B19/00 ,  A61B8/12

CPC classification number: A61B8/0841 ,  A61B8/12 ,  A61B8/4483 ,  A61B8/4494 ,  A61B8/463 ,  A61B8/5207 ,  A61B34/20 ,  A61B2034/2063 ,  A61B2090/392 ,  A61B2090/3925 ,  A61N5/1007 ,  A61N5/1027 ,  A61N5/103 ,  A61N5/1064 ,  A61N5/1071

Abstract: The invention relates to a system (10) for providing an object (2) in a body (1), a processor (18) arranged to be used in the system (10) for providing an object (2) in a body(1), an instrument (12) for providing an object (2) into a body (1), a method for detecting a providing of an object (2) in a body (1) and a software product for detecting a providing of an object (2) in a body (1). In order to allow for a providing of an object (2) in a body (1) and a detecting thereof while avoiding the drawbacks on the known approaches, e.g. giving an opportunity for reliable localization in ultrasound images used for real-time monitoring of a medical procedure with reduced error proneness to electromagnetic interference, the invention utilizes the finding that the characteristics of a reception or transmission of an ultrasound transducer (24, 26) are influenced by the surrounding environment of the ultrasound transducer (24, 26). By detecting changes in the characteristics the presence or absence of an object (2) to be provided at the ultrasound transducer (24, 26) is determined.

Abstract translation: 本发明涉及一种用于在主体（1）中提供物体（2）的系统（10），被配置成用于系统（10）中的用于在物体（1）内提供物体（2）的处理器（18） ），用于将物体（2）提供到主体（1）中的仪器（12），用于检测物体（2）在主体（1）中的提供的方法和用于检测物体（1）的提供的软件产品 （2）在身体（1）中。 为了允许在身体（1）中提供物体（2）及其检测，同时避免已知方法的缺点，例如， 给出了用于实时监测医疗过程的超声图像中的可靠定位的机会，其具有降低的电磁干扰的错误倾向，本发明利用超声换能器（24,26）的接收或传输的特性为 受超声波换能器（24,26）周围环境的影响。 通过检测特性的变化，确定要在超声换能器（24,26）处提供的物体（2）的存在或不存在。