公开(公告)号：WO2019110393A1

公开(公告)日：2019-06-13

申请号：PCT/EP2018/082914

申请日：2018-11-29

申请人： KONINKLIJKE PHILIPS N.V.

发明人： VERSTEGE, Marco ,  ESHUIS, Pieter, Gerben ,  SAHYOUN, Cherif

IPC分类号： G06T7/33

CPC分类号： G06T7/33 ,  G06T2207/10016 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10136 ,  G06T2207/30048

摘要： Imaging systems and methods are provided, which involve acquiring static volume data using a first imaging technique; segmenting the static volume data to generate a static segmentation; annotating the static segmentation with at least one annotation; acquiring initial dynamic volume data using a second imaging technique different to the first imaging technique; segmenting the initial dynamic volume data to generate a plurality of dynamic segmentations; comparing the static segmentation to each one of the plurality of dynamic segmentations and determining, using the comparisons, a single dynamic segmentation that most closely corresponds to the static segmentation; storing the corresponding single dynamic segmentation in the memory as a reference segmentation; acquiring subsequent dynamic volume data; segmenting the subsequent dynamic volume data to generate at least one subsequent dynamic segmentation; determining a difference between the reference segmentation and the subsequent dynamic segmentation; updating the at least one annotation using the determined difference; and displaying the at least one updated annotation together with the subsequent dynamic volume data.

公开(公告)号：WO2019104252A1

公开(公告)日：2019-05-31

申请号：PCT/US2018/062395

申请日：2018-11-23

申请人： THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

发明人： HA, Richard

IPC分类号： G06T7/00

CPC分类号： G06T7/0012 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30068

摘要： An exemplary system, method and computer-accessible medium for classifying a tissue(s) of a patient(s) can include, for example, receiving an image(s) of an internal portion(s) of a breast of the patient(s), and automatically classifying the tissue(s) of the breast by applying a neural(s) network to the image(s). The tissue(s) can include a lymph node(s). The lymph node(s) can be classified as a cancerous tissue or a non-cancerous tissue. The tissue(s) can be classified as a fibroglandular tissue or a background parenchymal enhancement tissue. The tissue(s) can be classified as a cancer molecular subtype. The image(s) can be is a magnetic resonance image.

公开(公告)号：WO2019097085A1

公开(公告)日：2019-05-23

申请号：PCT/EP2018/081950

申请日：2018-11-20

申请人： TECHNISCHE UNIVERSITÄT MÜNCHEN ,  INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)

发明人： BUSTIN, Aurélien ,  ODILLE, Freddy

IPC分类号： G06T3/40 ,  G06T5/00

CPC分类号： G06T3/4053 ,  G06T5/002 ,  G06T2207/10088

摘要： The invention concerns a method for producing an isotropic 3D image, said method comprising steps of: a) acquisition of at least two anisotropic 3D images or anisotropic 2D multislice images of an object, b)determining anisotropic 3D image estimate from said two anisotropic 3D images, c) applying a denoising technique and a 3D super-resolution reconstruction algorithm, both combined in a constrained optimization problem which can be solved by an Augmented Lagrangian algorithm, by realizing following steps: d) defining 3D patches in the isotropic 3D image estimate,at iteration i=0, this estimate being obtained from step b), at iteration i+1 this estimate being obtained from step f), e) applying a denoising technique on said 3D patches in order to obtain denoised 3D patches, f) applying a geometrical 3D super-resolution reconstruction based on the denoised 3D patches used as a prior to produce the 3D isotropic image; the geometrical 3D super-resolution reconstruction including estimates of an Augmented Lagrangian algorithm, g) updating the Augmented Lagrangian estimates, h) iterating steps d-h until estimates meet a stopping criteria.

公开(公告)号：WO2019090023A1

公开(公告)日：2019-05-09

申请号：PCT/US2018/058855

申请日：2018-11-02

申请人： GENERAL ELECTRIC COMPANY

发明人： VAIDYA, Vivek Prabhakar ,  MULLICK, Rakesh ,  SHRIRAM, Krishna Seetharam ,  RANJAN, Sohan Rashmi ,  ANNANGI, Pavan Kumar V ,  THIRUVENKADAM, Sheshadri ,  ALADAHALLI, Chandan Kumar Mallappa ,  SREEKUMARI, Arathi

IPC分类号： G06N3/04 ,  G06N3/08 ,  G06T7/00 ,  G06K9/62

CPC分类号： G06K9/4628 ,  G06K9/6273 ,  G06K9/6293 ,  G06K2209/051 ,  G06N3/0454 ,  G06N3/088 ,  G06N5/022 ,  G06T7/33 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004

摘要： A method for interactive representation learning transfer to a convolutional neural network (CNN) is presented. The method includes obtaining at least first and second input image datasets from first and second imaging modalities. Furthermore, the method includes performing at least one of jointly training a first supervised learning CNN based on labels associated with the first input image dataset and a second supervised learning CNN based on labels associated with the second input image dataset to generate one or more common feature primitives and corresponding mapping functions and jointly training a first unsupervised learning CNN and a second unsupervised learning CNN with the first and second input image dataset respectively to learn compressed representations of the input image datasets, including common feature primitives and corresponding mapping functions and storing the common feature primitives and the corresponding mapping functions in a feature primitive repository.

公开(公告)号：WO2019038104A1

公开(公告)日：2019-02-28

申请号：PCT/EP2018/071732

申请日：2018-08-10

申请人： KONINKLIJKE PHILIPS N.V.

发明人： VAHALA, Erkki, Tapani

IPC分类号： G06T11/60

CPC分类号： G06T11/60 ,  G01R33/4812 ,  G06T2207/10081 ,  G06T2207/10088

摘要： A method for creating a pseudo CT image from a region of interest. The method comprises the following steps. Receiving one or more magnetic resonance images comprising the region of interest. Creating a pseudo CT image by determining a pseudo Houns field Unit value for one or more voxels in the region of interest based on the one or more magnetic resonance images. Setting a voxel value to one or more voxels in the pseudo CT image in order to indicate that the image is a pseudo CT image. Hereby the likelihood of errors in an MRI based radiotherapy workflow may be reduced.

公开(公告)号：WO2018156539A1

公开(公告)日：2018-08-30

申请号：PCT/US2018/018887

申请日：2018-02-21

申请人： GENERAL ELECTRIC COMPANY

发明人： LANGELAND, Stian ,  SAMSET, Eigil ,  GERARD, Olivier

IPC分类号： A61B6/00 ,  A61B8/00 ,  A61B8/08 ,  A61B6/12

CPC分类号： A61B8/4416 ,  A61B5/0035 ,  A61B5/055 ,  A61B5/7425 ,  A61B6/032 ,  A61B6/12 ,  A61B6/4007 ,  A61B6/4417 ,  A61B6/4441 ,  A61B6/4476 ,  A61B6/463 ,  A61B6/466 ,  A61B6/481 ,  A61B6/482 ,  A61B6/488 ,  A61B6/504 ,  A61B6/5235 ,  A61B6/5247 ,  A61B6/545 ,  A61B6/589 ,  A61B8/0841 ,  A61B8/4245 ,  A61B8/463 ,  A61B8/5261 ,  A61B90/37 ,  A61B2034/2065 ,  A61B2090/364 ,  A61B2090/376 ,  A61B2090/3764 ,  A61B2090/378 ,  G06T7/30 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10132

摘要： Methods and systems are provided for multi-modality imaging. In one embodiment, a method comprises: during an ultrasound scan of a patient, co-aligning an ultrasound image received during the ultrasound scan with a three-dimensional (3D) image of the patient acquired with an imaging modality prior to the ultrasound scan; calculating an angle for an x-ray source based on position information in the 3D image to align the x-ray source with the ultrasound image; and adjusting a position of the x-ray source based on the calculated angle. In this way, the same internal views of a patient may be obtained with multiple modalities during an intervention with minimal user input.

公开(公告)号：WO2018109556A1

公开(公告)日：2018-06-21

申请号：PCT/IB2017/001661

申请日：2017-12-12

申请人： MEDICREA INTERNATIONAL

发明人： MCAFEE, Paul ,  DOBBS, Elliott ,  MOSNIER, Thomas

IPC分类号： A61F2/30 ,  A61F2/44 ,  A61B17/70 ,  A61B17/86 ,  G06T7/00 ,  A61B34/10 ,  G16H10/00

CPC分类号： A61B34/10 ,  A61B17/7011 ,  A61B17/866 ,  A61B2017/564 ,  A61B2017/568 ,  A61F2/30942 ,  A61F2/4455 ,  G06T7/60 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/30012 ,  G16H20/40 ,  G16H30/40 ,  G16H50/50

摘要： Certain systems, methods, and devices described herein are configured to dynamically model a patient area for surgery and/or other treatment, dynamically identify one or more features and/or characteristics thereon such as the length and/or elasticity of the posterior longitudinal ligament (PLL), dynamically allow modification of the model, dynamically limit and/or assist in modification of the model, and/or dynamically generate guidelines for generation of patient-specific implants and/or treatment kits for a specific patient.

公开(公告)号：WO2018070712A2

公开(公告)日：2018-04-19

申请号：PCT/KR2017/010831

申请日：2017-09-28

申请人： 연세대학교 원주산학협력단

发明人： 이용흠

IPC分类号： A61N2/00 ,  A61N2/02 ,  A61B5/01 ,  A61B5/026 ,  A61B8/00 ,  A61B5/055 ,  A61B6/03 ,  A61B6/00

CPC分类号： A61B5/01 ,  A61B5/0261 ,  A61B5/055 ,  A61B6/032 ,  A61B6/503 ,  A61B8/00 ,  A61B2562/0247 ,  A61N2/004 ,  A61N2/02 ,  G06T2207/10088 ,  G06T2207/10116

摘要： 유방 자극 장치가 개시되며, 유방 자극 장치는 유방에 대응하도록 배치되며, 제어 신호에 기초하여 자기장을 발생시키는 자기장 발생부, 자극 정보에 기초하여 상기 자기장 발생부를 제어하기 위한 제어 신호를 생성하는 제어부를 포함하고, 자기장 발생부는 단면적이 서로 상이한 복수의 자기장 루프를 포함할 수 있다.

摘要翻译： 公开了一种乳房刺激设备，其中，所述乳房刺激设备被布置为对应于所述乳房，并且包括用于基于控制信号生成磁场的磁场生成单元， 磁场发生器可以包括具有彼此不同横截面积的多个磁场回路。

公开(公告)号：WO2018014475A1

公开(公告)日：2018-01-25

申请号：PCT/CN2016/106192

申请日：2016-11-17

申请人： SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

发明人： ZHU, Wentao ,  FENG, Tao ,  LI, Hongdi

IPC分类号： G01T1/29

CPC分类号： G06T11/008 ,  G01R33/481 ,  G01R33/5608 ,  G06T7/11 ,  G06T7/187 ,  G06T11/006 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/20056 ,  G06T2207/30008 ,  G06T2211/424

摘要： A method for segmenting a medical image is disclosed. The method includes acquiring MR image and PET data during a scan of the object, acquiring an air/bone ambiguous region in the MR image, the air/bone ambiguous region including air voxels and bone voxels undistinguished from each other. The method also includes assigning attenuation coefficients to the voxels of the plurality of regions and generating an attenuation map. The method further includes iteratively reconstructing the PET data and the attenuation map to generate a PET image and an estimated attenuation map. The method further includes reassigning attenuation coefficients to the voxels of the air/bone ambiguous region based on the estimated attenuation map, and distinguishing the bone voxels and air voxels in the air/bone ambiguous region.

摘要翻译： 公开了一种用于分割医学图像的方法。 该方法包括在对象扫描期间采集MR图像和PET数据，获取MR图像中的空气/骨骼模糊区域，空气/骨骼模糊区域包括空气体素和骨骼体素彼此不相互区分。 该方法还包括将衰减系数分配给多个区域的体素并生成衰减图。 该方法还包括迭代地重建PET数据和衰减图以生成PET图像和估计的衰减图。 该方法还包括基于估计的衰减图将衰减系数重新分配给空气/骨头模糊区域的体素，并且区分空气/骨头模糊区域中的骨头体素和空气体素。

公开(公告)号：WO2017219765A1

公开(公告)日：2017-12-28

申请号：PCT/CN2017/083447

申请日：2017-05-08

申请人： 辛学刚

发明人： 辛学刚

IPC分类号： A61B5/055 ,  G01R33/54

CPC分类号： A61B5/055 ,  A61B6/03 ,  G01R33/246 ,  G01R33/288 ,  G01R33/54 ,  G06T2207/10088

摘要： 一种从电磁场能量传播角度求解组织电特性分布及局部比吸收率的方法，包括步骤：(1)计算核磁共振射频发射点发射的总能量，减去系统反射回来的能量，得到人体组织内存在的电磁场的总能量；(2)根据B 1 Mapping技术，得到射频发射产生的磁场B 1 + 场的幅度分布，进而得到B 1 + 场的能量；根据麦克斯韦方程组电磁互生理论，同时得到电场的能量；(3)通过比较内外圈各点之间的电磁场总能量差并进行计算得到各圈各点的局部比吸收率和得到各处损耗角正切值。从电磁场能量角度求解组织电特性和组织局部比吸收率的方式具有计算简单，结果精确的特点。