Automated detection of suspected abnormalities in ultrasound breast images

• US 9,826,958 B2
• Filed: 10/02/2013
• Issued: 11/28/2017
• Est. Priority Date: 11/27/2009
• Status: Active Grant

• Current Assignee: QView Medical, Inc.
• Original Assignee: Qview, Inc.
• Inventors: Zhang, Wei, Wang, Shih-Ping, Schneider, Alexander, Karssemeijer, Nico
• Primary Examiner(s): Shumate, Victoria P
• Assistant Examiner(s): WILLIAMS, TERESA S
• Application Number:
  US14/044,842
• Publication Number:
  US 20140039318A1
• Time in Patent Office: 1,518 Days
• Field of Search: 382128, 382131, 600300, 600407, 600427, 600437, 600440, 600445
• CPC Class Codes: A61B 8/0825 for diagnosis of the breast, e.g. mammography
• CPC Class Codes: A61B 8/5238 for combining image data of patient, e.g. merging several images from different acquisition modes into one image for image registration algorithms G06T7/30
• CPC Class Codes: G06T 2207/10132 Ultrasound image
• CPC Class Codes: G06T 2207/30068 Mammography; Breast
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

A method and system for processing and displaying breast ultrasound information is described. A 2D feature weighted volumetric coronal image as a “guide” or “road map” is generated from the 3D ultrasound data volume to represent the 3D dataset with the goal of emphasizing abnormalities within the breast while excluding non-breast structures, particularly those external to the breast such as ribs and chest wall.

Claims

1. A method of operating an ultrasound breast imaging system, comprising:

acquiring a three-dimensional (3D) breast ultrasound image with a 3D breast ultrasound acquisition system by a chestward compression scan of a patient'"'"'s breast;

detecting skin, chestwall, and ribs in the 3D ultrasound image with a computer processor;

segmenting a portion of the 3D breast ultrasound image that excludes the detected skin, chestwall, and ribs;

filtering the segmented portion of the 3D breast ultrasound image to suppress noise and enhance lesions therein by using a computer processor to apply thereto a gradient conversion filter f1 that enhances dark rounded shapes in the breast, a line conversion filter f2 that enhances lines radiating from a center and resemble a speculation or architectural distortion in the breast, and a computer-aided detection filter f3 algorithm, and generating compounding weights w(x,y,z) by combining outputs of the filters f1, f2, and f3, where (x,y,z) designates respective 3D locations of voxels in the segmented portion of the 3D ultrasound image;

normalizing the weights w(x,y,z) for a probability of voxel overlap with a cancer lesion;

producing only one composite coronal guide two-dimensional (2D) image for said chestward compression scan of the breast by forming a 2D atlas image through projecting, with a computer processor, the segmented portion of the 3D breast ultrasound image modulated by the normalized compounding weights w(x,y,z);

displaying the composite coronal guide 2D image on a computer monitor coupled with the computer processor; and

causing the computer processor to respond to pointing to a lesion in the displayed composite coronal guide 2D image to automatically bring up on the display an additional image from said chestward compression scan, which additional image contains the pointed to lesion.

2. The method of claim 1, in which said additional image is an original 2D axial slice image taken in said acquiring step.

3. The method of claim 1, in which the acquiring step takes additional 3D breast ultrasound images by additional chestward compression scans of the patient'"'"'s breast, and the remaining steps of the method are applied to each of the additional images, thereby producing and displaying a respective single composite coronal guide 2D image for each of said additional chestward compression scans.