公开(公告)号：US09277902B2

公开(公告)日：2016-03-08

申请号：US14088068

申请日：2013-11-22

Applicant: General Electric Company

Inventor： Rakesh Mullick ,  Vivek Prabhakar Vaidya ,  Fei Zhao ,  Xiaoxing Li ,  Vidya Kamath ,  Kunlin Cao ,  Soma Biswas

IPC: A61B8/08 ,  A61B8/14 ,  A61B8/00 ,  G06T7/00 ,  G06T7/40

CPC classification number: A61B8/5223 ,  A61B8/0825 ,  A61B8/085 ,  A61B8/14 ,  A61B8/4483 ,  G06T7/0012 ,  G06T7/13 ,  G06T7/44 ,  G06T2207/10132 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring an ultrasound image, generating a Fisher-tippett (FT) distribution-based edge feature map from the acquired ultrasound image, generating gradient concentration (GC) scores for pixels of the acquired ultrasound image using the FT distribution-based edge feature map, and identifying a candidate lesion region within the acquired ultrasound image based on the GC scores.

Abstract translation: 提供了一种用于检测超声图像中的损伤的方法。 该方法包括获取超声图像，从获取的超声图像生成基于Fisher-tippett（FT）分布的边缘特征图，使用基于FT分布的边缘特征产生所获取的超声图像的像素的梯度浓度（GC）分数 基于GC分数绘制并识别所获取的超声图像内的候选病变区域。