US 11,944,486 B2
Analysis method for breast image and electronic apparatus using the same
Jen-Feng Hsu, Taoyuan (TW); Hong-Hao Chen, Hsinchu (TW); Rong-Tai Chen, Taichung (TW); Hsin-Hung Lai, Taipei (TW); and Wei-Han Teng, Taipei (TW)
Assigned to TAIHAO MEDICAL INC., Taipei (TW)
Filed by TAIHAO MEDICAL INC., Taipei (TW)
Filed on Jul. 19, 2021, as Appl. No. 17/378,775.
Application 17/378,775 is a continuation in part of application No. 15/622,077, filed on Jun. 14, 2017, abandoned.
Claims priority of application No. 105120124 (TW), filed on Jun. 27, 2016.
Prior Publication US 2021/0338194 A1, Nov. 4, 2021
Int. Cl. A61B 8/08 (2006.01); G06T 7/11 (2017.01); G06T 7/149 (2017.01); G06T 17/00 (2006.01); G06V 10/143 (2022.01); G06V 10/25 (2022.01); G06V 10/50 (2022.01); G06V 10/75 (2022.01)
CPC A61B 8/0825 (2013.01) [A61B 8/085 (2013.01); A61B 8/483 (2013.01); G06T 7/11 (2017.01); G06T 7/149 (2017.01); G06T 17/00 (2013.01); G06V 10/143 (2022.01); G06V 10/25 (2022.01); G06V 10/50 (2022.01); G06V 10/75 (2022.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30068 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An analysis method for breast ultrasound images, comprising:
obtaining at least one breast ultrasound image, wherein the at least one breast ultrasound image is used for forming a three dimensional (3D) breast model;
obtaining a volume of interest (VOI) as a suspicious area in the at least one breast ultrasound image by applying a detection model on the 3D breast model, wherein the detection model is trained by a machine learning algorithm;
segmenting the at least one breast ultrasound image into a plurality of tissues, to obtain a tissue segmentation result, wherein the tissue segmentation result comprises the plurality of tissues in the 3D breast model;
determining a type of a target tissue of the plurality of tissue where the VOI is located with the tissue segmentation result;
determining the VOI as a false positive according to the target tissue where the VOI is located, wherein the target tissue where the VOI is located is a glandular tissue based on the tissue segmentation result, and determining the VOI as the false positive according to the target comprises:
determining whether the VOI located in the glandular tissue is further located in a lactiferous duct based on the tissue segmentation result;
in response to the VOI being located in the glandular tissue but not located in the lactiferous duct, determining the VOI as not the false positive; and
in response to the VOI being located in both the glandular tissue and the lactiferous duct, determining the VOI as the false positive; and
removing the VOI belonging to the false positive from the suspicious area.