US 9,808,217 B2
Breast cancer detection system, breast cancer detection method, breast cancer detection program, and computer-readable recording medium having breast cancer detection program recorded thereon
Noriyasu Homma, Sendai (JP); Takeshi Handa, Sendai (JP); Tadashi Ishibashi, Sendai (JP); Yusuke Kawasumi, Sendai (JP); and Makoto Yoshizawa, Sendai (JP)
Assigned to TOHOKU UNIVERSITY, Sendai (JP)
Appl. No. 14/892,134
Filed by TOHOKU UNIVERSITY, Sendai-shi, Miyagi (JP)
PCT Filed Nov. 29, 2013, PCT No. PCT/JP2013/082126
§ 371(c)(1), (2) Date Nov. 18, 2015,
PCT Pub. No. WO2014/192187, PCT Pub. Date Dec. 4, 2014.
Claims priority of application No. 2013-115007 (JP), filed on May 31, 2013.
Prior Publication US 2016/0106388 A1, Apr. 21, 2016
Int. Cl. G06T 7/00 (2017.01); A61B 6/00 (2006.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01)
CPC A61B 6/5217 (2013.01) [A61B 6/502 (2013.01); G06K 9/00503 (2013.01); G06K 9/4609 (2013.01); G06K 9/4619 (2013.01); G06K 9/6201 (2013.01); G06T 7/0012 (2013.01); G06K 2009/6213 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01)] 17 Claims
OG exemplary drawing
1. A breast cancer detection system for detecting an architectural distortion of the mammary gland included in an X-ray image of the breast, the breast cancer detection system comprising:
a processor programmed to:
calculate a normal architecture model of the mammary gland that scatters in a fan shape from the nipple toward the greater pectoral muscle with respect to the X-ray image of the breast;
extract orientations of linear components of an image texture of a region that form a shape of a shadow in the X-ray image of the breast; and
compare the orientation of the mammary gland in the calculated normal architecture model and the extracted orientation with respect to a region of interest in the X-ray image of the breast including architectural distortion candidates of the mammary gland detected by preprocessing to: (i) calculate a feature quantity based on a difference between the orientations, and (ii) determine whether the candidates are an architectural distortion of the mammary gland based on the feature quantity.