公开(公告)号：US20100119127A1

公开(公告)日：2010-05-13

申请号：US12267019

申请日：2008-11-07

Applicant: Musodiq O. Bello ,  Jens Rittscher ,  Ahmad Yekta ,  Dirk Ryan Padfield ,  Jilin Tu

Inventor： Musodiq O. Bello ,  Jens Rittscher ,  Ahmad Yekta ,  Dirk Ryan Padfield ,  Jilin Tu

IPC: G06F9/00

CPC classification number: A01K29/00 ,  G06F19/28 ,  G06K9/00

Abstract: Systems and methods for extracting information about an organism of interest, generally comprising, an atlas of the organism of interest; a storage device for at least temporarily storing an image of the organism of interest; and an operating device that automatically creates a map of the image of the organism of interest and automatically compares the map of the image to the atlas of the organism.

Abstract translation: 用于提取关于感兴趣的生物体的信息的系统和方法，通常包括感兴趣的生物体的图谱; 用于至少临时存储感兴趣的生物体的图像的存储装置; 以及自动创建感兴趣生物体的图像的图的操作装置，并自动将图像的图与生物体的图谱进行比较。

公开(公告)号：US20090238457A1

公开(公告)日：2009-09-24

申请号：US12053295

申请日：2008-03-21

Applicant: Jens Rittscher ,  Rahul Bhotika ,  Kishore Mosaliganti ,  Dirk Ryan Padfield ,  Raghu Machiraju

Inventor： Jens Rittscher ,  Rahul Bhotika ,  Kishore Mosaliganti ,  Dirk Ryan Padfield ,  Raghu Machiraju

IPC: G06K9/34

CPC classification number: G06K9/0014 ,  G06T7/11 ,  G06T7/143 ,  G06T2200/04 ,  G06T2207/10056 ,  G06T2207/30024

Abstract: Systems and methods for segmenting images comprising cells, wherein the images comprise a plurality of pixels; one or more three dimensional (3D) clusters of cells are identified in the images; and the 3D clusters of cells are automatically segmented into individual cells using one or more models.

Abstract translation: 用于分割包括单元的图像的系统和方法，其中所述图像包括多个像素; 在图像中识别出一个或多个三维（3D）细胞簇; 并且使用一个或多个模型将单元格的3D聚类自动分割成单个单元。

公开(公告)号：US20110319763A1

公开(公告)日：2011-12-29

申请号：US12825755

申请日：2010-06-29

Applicant: Navneeth Subramanian ,  Anand Magadi Narasimhamurthy ,  Sheshadri Thiruvenkadam ,  Dirk Ryan Padfield

Inventor： Navneeth Subramanian ,  Anand Magadi Narasimhamurthy ,  Sheshadri Thiruvenkadam ,  Dirk Ryan Padfield

IPC: A61B8/14

CPC classification number: A61B8/0883 ,  G06T7/12 ,  G06T7/149 ,  G06T7/215 ,  G06T7/62 ,  G06T2207/10132 ,  G06T2207/20116 ,  G06T2207/30048

Abstract: A method for automatically measuring interventricular septum thickness is provided. The method in one embodiment comprises acquiring a series of ultrasound images of a heart, acquiring a septum mask by applying a septum segmentation algorithm on the series of ultrasound images, localizing a mitral valve tip using a valve tip localization algorithm and calculating the thickness of the interventricular septum using an interventricular septum thickness algorithm. The interventricular septum thickness algorithm uses the septum mask and the localized mitral valve tip as inputs.

Abstract translation: 提供了一种自动测量室间隔厚度的方法。 一个实施例中的方法包括获取心脏的一系列超声图像，通过在一系列超声图像上应用隔膜分割算法获取隔膜掩模，使用阀尖端定位算法定位二尖瓣末端并计算 室间隔使用室间隔厚度算法。 室间隔厚度算法使用隔膜掩模和局部二尖瓣尖端作为输入。

公开(公告)号：US07949181B2

公开(公告)日：2011-05-24

申请号：US11770323

申请日：2007-06-28

Applicant: Dirk Ryan Padfield ,  Manasi Datar ,  Harvey Cline

Inventor： Dirk Ryan Padfield ,  Manasi Datar ,  Harvey Cline

IPC: G06K9/00 ,  G06K9/34 ,  G06K9/46 ,  G06K9/66

CPC classification number: G06K9/0014

Abstract: The present techniques provide for the processing of color tissue images based on image segmentation. In an exemplary embodiment, the color and texture features of pixels in a tissue image are used to generate a matrix of feature vectors. A subset of feature vectors is selected from the matrix of feature vectors and a set of colors and textures are derived using the tissue image and the subset of feature vectors. An initial segmented tissue image is then generated from this set of colors and textures.

Abstract translation: 本技术提供了基于图像分割的彩色组织图像的处理。 在示例性实施例中，组织图像中的像素的颜色和纹理特征被用于生成特征向量矩阵。 从特征向量的矩阵中选择特征向量的子集，并且使用组织图像和特征向量的子集导出一组颜色和纹理。 然后从该组颜色和纹理生成初始分割的组织图像。

公开(公告)号：US20090003691A1

公开(公告)日：2009-01-01

申请号：US11770323

申请日：2007-06-28

Applicant: Dirk Ryan Padfield ,  Manasi Datar ,  Harvey Cline

Inventor： Dirk Ryan Padfield ,  Manasi Datar ,  Harvey Cline

IPC: G06K9/34

CPC classification number: G06K9/0014

Abstract: The present techniques provide for the processing of color tissue images based on image segmentation. In an exemplary embodiment, the color and texture features of pixels in a tissue image are used to generate a matrix of feature vectors. A subset of feature vectors is selected from the matrix of feature vectors and a set of colors and textures are derived using the tissue image and the subset of feature vectors. An initial segmented tissue image is then generated from this set of colors and textures.

Abstract translation: 本技术提供了基于图像分割的彩色组织图像的处理。 在示例性实施例中，组织图像中的像素的颜色和纹理特征被用于生成特征向量矩阵。 从特征向量的矩阵中选择特征向量的子集，并且使用组织图像和特征向量的子集导出一组颜色和纹理。 然后从该组颜色和纹理生成初始分割的组织图像。