公开(公告)号：US09638812B2

公开(公告)日：2017-05-02

申请号：US15100648

申请日：2014-11-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Sven Prevrhal ,  Michael Grass ,  Eberhard Sebastian Hansis

IPC: G01T1/164 ,  G01T1/29 ,  G01T1/161 ,  A61B6/03

CPC classification number: G01T1/2985 ,  A61B6/037 ,  G01T1/161

Abstract: A reconstruction apparatus (9) reconstructs a PET image. A first detector (3) generates first detection events and detection times assigned to the first detection events and a second detector (6) generates second detection events and detection times assigned to the second detection events. A timing window determination unit (11) provides a first-second timing window by providing a first-second upper threshold based on the position of the second detector relative to the first detector and a detection event pairs generation unit (12) generates first-second detection event pairs based on the provided first-second timing window. The first-second detection event pairs are used for reconstructing the PET image. The first-second timing window depends on the position of the second detector leads to an improved generation of first-second detection event pairs, which in turn can lead to an improved PET image.

公开(公告)号：US09483122B2

公开(公告)日：2016-11-01

申请号：US14398497

申请日：2013-05-02

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Michael Grass ,  Robert Manzke ,  Tobias Klinder ,  Raymond Chan

IPC: G06F3/01

CPC classification number: G06F3/017 ,  G06F3/011 ,  G06F3/014

Abstract: The present invention relates to devices, system and method for detecting gestures. The devices, systems and methods uses optically shape sensing devices for tracking and monitoring users. This allows unhindered, robust tracking of persons in different setting. The devices, systems and methods are especially useful in health care institutions.

Abstract translation: 本发明涉及用于检测手势的装置，系统和方法。 设备，系统和方法使用光学形状感测设备来跟踪和监视用户。 这样可以不受限制地，不间断地追踪人员。 设备，系统和方法在卫生保健机构中特别有用。

公开(公告)号：US20150287185A1

公开(公告)日：2015-10-08

申请号：US14441045

申请日：2013-11-20

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Michael Grass ,  Thomas Koehler ,  Cristian Lorenz

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06K9/00 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/30056

Abstract: Described herein is an approach to identify a presence (or absence) of a tissue disease based on a quantification of a roughness of a surface of the tissue represented in imaging data. The approach includes an image data processor (120) with a surface roughness quantifier (206) that generates a metric that quantifies a roughness of a surface of a tissue of interest in 3D image data based on a surface model adapted to the tissue of interest in the 3D image data and a decision component (208) that generates a value signal indicating a presence or an absence of disease in the tissue of interest based on the metric.

Abstract translation: 本文描述的是基于成像数据中表示的组织的表面的粗糙度的量化来鉴定组织疾病的存在（或不存在）的方法。 该方法包括具有表面粗糙度量化器（206）的图像数据处理器（120），该表面粗糙度量化器（206）基于适应于感兴趣组织的表面模型，生成量化3D图像数据中感兴趣组织的表面的粗糙度的度量 3D图像数据和决定组件（208），其基于度量产生指示感兴趣组织中存在或不存在疾病的值信号。

公开(公告)号：US20140357988A1

公开(公告)日：2014-12-04

申请号：US14356188

申请日：2012-10-29

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Michael Grass ,  Robert Manzke ,  Raymond Chan

IPC: A61N5/10 ,  G01T1/02 ,  A61B6/12

CPC classification number: A61N5/1067 ,  A61B6/12 ,  A61N5/1071 ,  G01T1/023 ,  G01T1/161

Abstract: The present invention relates to a sensor device for detecting dose of radiation received at the sensor device, the sensor device comprising a flexible body having a cross-section being comparatively small relative to the length of the device, a cladding at the flexible body, the cladding converting incoming radiation into visible light, and an optical shape sensing device disposed within the flexible body and configured to determine a shape of the flexible instrument relative to a reference, the shape sensing device configured to collect information based on its configuration to map an intraluminal structure during a procedure. The present invention further relates to a radiation therapy system including such a sensor device and a method of operating a radiation therapy system including such a sensor device.

Abstract translation: 本发明涉及一种用于检测在传感器装置处接收的辐射剂量的传感器装置，该传感器装置包括柔性体，该柔性体的横截面相对于该装置的长度相对较小，在柔性体上的包层， 将入射的辐射包层转换成可见光;以及光学形状感测装置，其设置在柔性体内并且被配置为相对于参考来确定柔性器械的形状，所述形状感测装置被配置为基于其构型收集信息以映射管腔内 手术过程中的结构。 本发明还涉及包括这种传感器装置的放射治疗系统和包括这种传感器装置的放射治疗系统的操作方法。

公开(公告)号：US12288276B2

公开(公告)日：2025-04-29

申请号：US17785955

申请日：2020-12-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Frank Bergner ,  Michael Grass ,  Thomas Heiko Stehle

IPC: G06T11/00 ,  A61B6/00 ,  A61B6/03

Abstract: The present invention relates to an apparatus (10) for correcting computer tomography (“CT”) X-ray data acquired at high relative pitch, the apparatus comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to provide the processing unit with CT X-ray data of a body part of a person acquired at high relative pitch. The processing unit is configured to determine CT slice reconstruction data of the body part of the person with no or reduced high relative pitch operation reconstruction artefacts using a machine learning algorithm. The machine learning algorithm was trained on the basis of CT slice reconstruction data, and wherein the CT slice reconstruction data comprised first CT slice reconstruction data with high relative pitch reconstruction artefacts and comprised second CT slice reconstruction data with less, less severe, or no high relative pitch reconstruction artefacts. The output unit is configured to output the CT slice reconstruction data of the body part of the person.

公开(公告)号：US12198335B2

公开(公告)日：2025-01-14

申请号：US17618445

申请日：2020-06-29

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Christian Haase ,  Dirk Schaefer ,  Michael Grass

IPC: G06T7/00 ,  A61B6/00 ,  A61B6/50

Abstract: A method and apparatus for analyzing diagnostic image data are provided in which a plurality of acquisition images of a vessel of interest having been acquired with a pre-defined acquisition method is received at a trained classifying device and classified, by the classifying device, to extract at least one quantitative feature of the vessel of interest from at least one acquisition image of the plurality of acquisition images. The at least one quantitative feature is then output associated with the at least one acquisition image while the acquisition of the diagnostic image data is still in progress and one or more adjustable image acquisition settings are adjusted based on the at least one quantitative feature to optimize the acquisition of the diagnostic image data.

公开(公告)号：US12165325B2

公开(公告)日：2024-12-10

申请号：US17436095

申请日：2020-03-12

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Thomas Koehler ,  Michael Grass

IPC: G06T7/00 ,  A61B6/00 ,  A61B6/03 ,  A61B6/40 ,  A61B6/42 ,  A61B18/14 ,  G06T7/11 ,  G06T7/30 ,  A61B18/00 ,  A61B18/02

Abstract: The present invention relates to the use of dark field X-ray images in an ablation treatment of a tumour. By acquiring dark field X-ray images displaying the region of interest targeted in the ablation treatment, information can be derived which allows taking a decision on terminating the ablation treatment. A set of dark field X-ray images is received (101), which is acquired at different time instants and comprises the region of interest. Dark field X-ray images of the set are compared (102), for example by determining difference images between the individual images. If during that comparison a change in the dark field X-ray images is detected over time in the region of interest, then a signal is generated (103) indicating a change has occurred. That signal may indicate that healthy tissue is being affected instead of the tumour and that consequently the ablation treatment should be ended.

公开(公告)号：US12136209B2

公开(公告)日：2024-11-05

申请号：US17288357

申请日：2019-10-25

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Christian Haase ,  Michael Grass ,  Martijn Anne Van Lavieren ,  Cornelis Willem Johannes Immanuel Spoel ,  Romane Isabelle Marie-Bernard Gauriau ,  Holger Schmitt ,  Javier Olivan Bescos

IPC: G06K9/00 ,  G06T7/00

Abstract: An apparatus for assessing a vessel of interest and a corresponding method are provided in which the modeling of the hemodynamic parameters using a fluid dynamics model can be verified by deriving feature values from the segmented vessel of interest and inputting these feature values into a classifier. The classifier may then determine, based on the feature values whether the segmentation has been performed from proximal to distal, from distal to proximal or cannot be determined from the provided data. An incorrect segmentation order can thus be identified and potentially be corrected, thereby avoiding inaccurate simulation results.

公开(公告)号：US12131525B2

公开(公告)日：2024-10-29

申请号：US17620142

申请日：2020-06-25

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Alexandra Groth ,  Axel Saalbach ,  Ivo Matteo Baltruschat ,  Jens Von Berg ,  Michael Grass

IPC: G06V10/00 ,  G06T7/00 ,  G06V10/44 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V10/96 ,  G06V20/70

CPC classification number: G06V10/82 ,  G06T7/0012 ,  G06V10/454 ,  G06V10/764 ,  G06V10/774 ,  G06V10/96 ,  G06V20/70 ,  G06T2207/10081 ,  G06T2207/10124 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/03

Abstract: Multi-task deep learning method for a neural network for automatic pathology detection, comprising the steps: receiving first image data (I) for a first image recognition task; receiving (S2) second image data (V) for a second image recognition task; wherein the first image data (I) is of a first datatype and the second image data (V) is of a second datatype, different from the first datatype; determining (S3) first labeled image data (IL) by labeling the first image data (I) and determining second synthesized labeled image data (ISL) by synthesizing and labeling the second image data (V); training (S4) the neural network based on the received first image data (I), the received second image data (V), the determined first labeled image data (IL) and the determined second labeled synthesized image data (ISL); wherein the first image recognition task and the second image recognition task relate to a same anatomic region where the respective image data is taken from and/or relate to a same pathology to be recognized in the respective image data.

公开(公告)号：US12115014B2

公开(公告)日：2024-10-15

申请号：US17294740

申请日：2019-11-27

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Christian Haase ,  Cornelis Willem-Johannes Immanuel Spoel ,  Martijn Anne Van Lavieren ,  Michael Grass

IPC: A61B6/00 ,  A61B6/50 ,  G06T7/00

CPC classification number: A61B6/5217 ,  A61B6/481 ,  A61B6/504 ,  G06T7/0016 ,  G06T2207/10116 ,  G06T2207/30101

Abstract: A method and apparatus for selecting one or more diagnostic images to generate a physiological model are provided in which a set of candidate images is determined for review by a user, in particular by a physician. The candidate images are hereby determined using one or more target measures, such as a density measure, a motion measure, a deviation measure or the like, that have been derived for each diagnostic image of an X-ray angiography series and by analyzing said target measure. Subsequently, a suitability score that is based on the requirements of the physiological model that shall be generated from the selected candidate images is assigned to each candidate image.