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1. 发明公开

EP2697774A1 METHOD AND SYSTEM FOR BINARY AND QUASI-BINARY ATLAS-BASED AUTO-CONTOURING OF VOLUME SETS IN MEDICAL IMAGES 审中-公开
标题翻译：方法和系统二进制和准二元ATLAS-BASED SELBSTKONTURIERUNG由医学图像卷记录
公开(公告)号：EP2697774A1
公开(公告)日：2014-02-19
申请号：EP12771078.8
申请日：2012-04-13
申请人： Tizhoosh, Hamid Reza , Khalvati, Farzad
发明人： Tizhoosh, Hamid Reza , Khalvati, Farzad
IPC分类号： G06T7/00
CPC分类号： G06T7/0081 , G06T7/12 , G06T7/136 , G06T7/149 , G06T2207/20128
摘要： The present invention is a set of algorithms or calculations that may be applied to efficiently use atlas-based segmentation using QBinary (binary and/or quasi-binary) representations of images and/or their ROIs. A QBinary representation of an image or a part of an image (for example, such as a ROI) may be a binary image (for example, such as a code with 1 bit) and or a quasi-binary image (for example, such as a code with more than 1 and less than 8 bits) that serves to represent that image and/or ROI in an atlas. Two-dimensional QBinary codes may be used to both construct QBinary atlases and QBinary-controlled atlases with or without QB-Codes registration. Additionally, the present invention may offer a set of algorithms to sequentially auto-contour (or auto- segment) individual slices of a volume set of digital images without or without QB-Codes registration, provided one slice is semi-automatically contoured by a human operator.
摘要翻译：使用QBinary（二元和/或准二进制）图像和/或它们的ROI的陈述本发明是一组算法或计算并可以被应用到有效地使用图谱为基础的分割。的图像的QBinary表示或图像的一部分（例如，检查作为ROD可以是二进制图像（例如，检查与1个比特的码）和或准二进制图象（例如，：如具有多于1个且小于8位的码）确实用于表示在给Atlas做图像和/或投资回报率。二维QBinary码可被用于这两种构建QBinary地图集和QBinary控制地图集具有或不具有代码QB 注册。另外，本发明可以提供一组算法以顺序地自动轮廓（或自动段）中设置的数字图像的无或无QB代码登记的体积的个体切片，提供一个片是半自动地通过轮廓人类操作员。

2. 发明专利

CA3155956A1 SYSTEMS AND METHODS FOR AUTOMATICALLY IDENTIFYING FEATURES OF A CYTOLOGY SPECIMEN 未知
公开(公告)号：CA3155956A1
公开(公告)日：2022-10-16
申请号：CA3155956
申请日：2022-04-14
申请人： TIZHOOSH HAMID REZA , CAMPBELL CLINTON JAMES VAUGHAN
发明人： TIZHOOSH HAMID REZA , CAMPBELL CLINTON JAMES VAUGHAN , MOOSAVITAYEBI SEYED ROHOLLAH
IPC分类号： G16H30/40 , G06V10/74 , G06V10/82 , G06V20/69
摘要： Computer-implemented methods and systems are provided for automatically identifying features of a cytology specimen. An example method can involve dividing a whole slide image of the cytology specimen into a plurality of image portions; applying a first neural network to each image portion to identify one or more relevant image portions; and applying a second neural network to a first relevant image portion and a second relevant image portion to generate a respective first and second cell data. Each relevant image portion can be an image portion containing a region of interest for the cytology specimen. The method can further involve comparing the first and second cell data to determine whether a similarity threshold is satisfied; and in response to determining the similarity threshold is not satisfied, continuing to apply the second neural network to a subsequent relevant image portion until the similarity threshold is satisfied.

3. 发明专利

CA3118014A1 SYSTEMS AND METHODS OF MANAGING MEDICAL IMAGES 未知
公开(公告)号：CA3118014A1
公开(公告)日：2020-05-14
申请号：CA3118014
申请日：2019-11-05
申请人： TIZHOOSH HAMID REZA , MOUSSA WAFIK WAGDY , MYLES PATRICK , DAMASKINOS SAVVAS , RIBES ALFONSO CARLOS
发明人： TIZHOOSH HAMID REZA , MOUSSA WAFIK WAGDY , MYLES PATRICK , DAMASKINOS SAVVAS , RIBES ALFONSO CARLOS
IPC分类号： G06T7/00 , G06F16/51 , G06T7/194 , G06T9/00 , G16H30/20
摘要： Computer-implemented methods and systems are provided for managing one or more images. An example method for indexing involves operating a processor to, divide an image portion of an image of the one or more images into a plurality of patches, for each patch of the image: detect one or more features of the patch; and assign the patch to at least one cluster of a plurality of clusters of the image, based on the one or more features of the patch. The processor is operable to, for each cluster of the image, select at least one patch from the cluster as at least one representative patch for the cluster; for each representative patch, generate an encoded representation based on one or more features of the representative patch; and generate an index identifier for the image based on the encoded representations of the representative patches of the image.

4. 发明申请

WO2010145007A1 SYSTEM AND METHOD FOR IMAGE SEGMENTATION 审中-公开
标题翻译：用于图像分割的系统和方法
公开(公告)号：WO2010145007A1
公开(公告)日：2010-12-23
申请号：PCT/CA2010/000893
申请日：2010-06-17
申请人： TIZHOOSH, Hamid, Reza , SAHBA, Farhang , SHOKRI, Maryam , OMISA INC.
发明人： TIZHOOSH, Hamid, Reza , SAHBA, Farhang , SHOKRI, Maryam
IPC分类号： G06T5/00 , G06T7/60 , A61B8/00 , A61B6/00 , G06N3/02 , G06N7/02
CPC分类号： G06K9/6253 , G06T7/12 , G06T7/174 , G06T2207/10132 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20096 , G06T2207/30004 , G06T2207/30081
摘要： A method of segmenting images receives an image (such as a medical image) and a segment in relation to the image, displays them to an observer, receives a modification to the segment from the observer, and generates a second segment in relation to a second image, responsive to the modification. An image segmentation system includes a learning scheme or model to take input from an observer feedback interface and to communicate with a means for drawing an image segment to permit adjustment of at least one image segmentation parameter (such as a threshold value). The learning scheme is provided with a knowledge base which may initially be created by processing offline images. The learning scheme may use any scheme such as a reinforcement learning agent, a fuzzy inference system or a neural network.
摘要翻译：分割图像的方法接收图像（例如医学图像）和与图像相关的片段，将它们显示给观察者，从观察者接收对片段的修改，并且生成与第二片段相关的第二片段图像，响应修改。图像分割系统包括学习方案或模型，以从观察者反馈界面获取输入，并与用于绘制图像片段的装置进行通信以允许调整至少一个图像分割参数（例如阈值）。该学习方案被提供有一个知识库，它最初可以通过处理离线图像来创建。学习方案可以使用任何方案，例如强化学习代理，模糊推理系统或神经网络。

5. 发明申请

WO2021223013A1 SYSTEMS AND METHODS FOR AUTOMATICALLY DIAGNOSING X-RAY IMAGES 审中-公开
公开(公告)号：WO2021223013A1
公开(公告)日：2021-11-11
申请号：PCT/CA2021/050582
申请日：2021-04-28
申请人： TIZHOOSH, Hamid Reza
发明人： SZE-TO, Ho Yin
IPC分类号： G06K9/80 , A61B6/00 , G06K9/46 , G06N3/02 , G16H30/40 , G16H50/20
摘要： Various systems, methods, and non-transitory computer readable mediums for diagnosing a query X-ray image are disclosed. Example embodiments relate to operating the system to apply an artificial neural network model to the query X-ray image to extract a query feature vector representative of image characteristics of the query X-ray image; compare the query feature vector with one or more annotated feature vectors associated with respective one or more annotated X-ray images stored in an annotated image database to determine a similarity level between the query X-ray image and each annotated image of the one or more annotated images; associate the query X-ray image with a set of annotated images based at least on the similarity level and a similarity threshold; and assign the query X-ray image with a disease classification based at least on the disease classification of one or more annotated images of the set of annotated images.

6. 发明申请

WO2020093152A1 SYSTEMS AND METHODS OF MANAGING MEDICAL IMAGES 审中-公开
公开(公告)号：WO2020093152A1
公开(公告)日：2020-05-14
申请号：PCT/CA2019/051573
申请日：2019-11-05
申请人： TIZHOOSH, Hamid Reza , MOUSSA, Wafik Wagdy , DAMASKINOS, Savvas , MYLES, Patrick , RIBES, Alfonso Carlos
发明人： TIZHOOSH, Hamid Reza , MOUSSA, Wafik Wagdy , DAMASKINOS, Savvas , MYLES, Patrick , RIBES, Alfonso Carlos
IPC分类号： G06T7/00 , G06F16/51 , G06T7/194 , G06T9/00 , G16H30/20
摘要： Computer-implemented methods and systems are provided for managing one or more images. An example method for indexing involves operating a processor to, divide an image portion of an image of the one or more images into a plurality of patches, for each patch of the image: detect one or more features of the patch; and assign the patch to at least one cluster of a plurality of clusters of the image, based on the one or more features of the patch. The processor is operable to, for each cluster of the image, select at least one patch from the cluster as at least one representative patch for the cluster; for each representative patch, generate an encoded representation based on one or more features of the representative patch; and generate an index identifier for the image based on the encoded representations of the representative patches of the image.

7. 发明申请

WO2013040693A1 COMPUTER SYSTEM AND METHOD FOR ATLAS-BASED CONSENSUAL AND CONSISTENT CONTOURING OF MEDICAL IMAGES 审中-公开
标题翻译：计算机系统和方法，用于基于ATLAS的认知和一致性配置医学图像
公开(公告)号：WO2013040693A1
公开(公告)日：2013-03-28
申请号：PCT/CA2012/000889
申请日：2012-09-24
申请人： TIZHOOSH, Hamid Reza , KHALVATI, Farzad
发明人： TIZHOOSH, Hamid Reza , KHALVATI, Farzad
IPC分类号： G06T7/00 , A61B6/03 , A61B5/055 , A61B8/00
CPC分类号： G06T7/0083 , A61B6/508 , A61B6/5217 , A61B6/5247 , A61B6/563 , A61B8/5223 , A61B8/5261 , A61B8/565 , G06F19/00 , G06T7/12 , G06T2200/24 , G06T2207/20081 , G06T2207/20104 , G06T2207/20128 , G06T2207/30004
摘要： A system and method are disclosed to provide a solution to automatically generate consensual and consistent segmentation results to reduce the effects of inter- and intra-observer variability in contouring medical images, respectively. The invention may be used by multiple users with access to an internal or external network or via cloud-computing devices but it does not require having instant access to multiple users for generating the consensus or consistent contours. The invention is applicable on a multitude of medical image modalities such as CT, MRI, Ultrasound, PET and fused images.
摘要翻译：公开了一种系统和方法，以提供一种解决方案，以分别自动产生自愿和一致的分割结果，以减少轮廓和医学图像中的观察者间和观察者间变异性的影响。本发明可被多个用户访问内部或外部网络或通过云计算设备使用，但是不需要立即访问多个用户以产生一致或一致的轮廓。本发明适用于CT，MRI，超声，PET和融合图像等多种医学图像模式。

8. 发明申请

WO2012139205A1 METHOD AND SYSTEM FOR BINARY AND QUASI-BINARY ATLAS-BASED AUTO-CONTOURING OF VOLUME SETS IN MEDICAL IMAGES 审中-公开
标题翻译：医学图像中二维和二进制基于ATLAS的自动调节体积集的方法与系统
公开(公告)号：WO2012139205A1
公开(公告)日：2012-10-18
申请号：PCT/CA2012/000353
申请日：2012-04-13
申请人： TIZHOOSH, Hamid Reza , KHALVATI, Farzad
发明人： TIZHOOSH, Hamid Reza , KHALVATI, Farzad
IPC分类号： G06T7/00
CPC分类号： G06T7/0081 , G06T7/12 , G06T7/136 , G06T7/149 , G06T2207/20128
摘要： The present invention is a set of algorithms or calculations that may be applied to efficiently use atlas-based segmentation using QBinary (binary and/or quasi-binary) representations of images and/or their ROIs. A QBinary representation of an image or a part of an image (for example, such as a ROI) may be a binary image (for example, such as a code with 1 bit) and or a quasi-binary image (for example, such as a code with more than 1 and less than 8 bits) that serves to represent that image and/or ROI in an atlas. Two-dimensional QBinary codes may be used to both construct QBinary atlases and QBinary-controlled atlases with or without QB-Codes registration. Additionally, the present invention may offer a set of algorithms to sequentially auto-contour (or auto- segment) individual slices of a volume set of digital images without or without QB-Codes registration, provided one slice is semi-automatically contoured by a human operator.
摘要翻译：本发明是可以应用于使用图像和/或其ROI的QBinary（二进制和/或准二进制）表示来有效地使用基于图集的分割的一组算法或计算。图像或图像的一部分（例如ROI）的QBinary表示可以是二进制图像（例如，诸如具有1比特的代码）和/或准二进制图像（例如，作为大于1和小于8位的代码），用于在图集中表示图像和/或ROI。二维QBinary代码可以用于构建QBinary地图集和QBinary控制的地图集，带有或不带有QB代码注册。另外，本发明可以提供一组算法，以便在没有或没有QB代码注册的情况下顺序地自动轮廓（或自动分段）数字图像的卷集的各个切片，只要一个切片由人半自动轮廓化运营商。

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