US 12,146,931 B2
Identification of advisory regions in breast magnetic resonance imaging
Indrajit Saha, Gurgaon (IN); and Ulrich Wolfgang Katscher, Norderstedt (DE)
Assigned to Koninklijke Philips N.V., Eindhoven (NL)
Appl. No. 17/913,293
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Mar. 17, 2021, PCT No. PCT/EP2021/056746
§ 371(c)(1), (2) Date Sep. 21, 2022,
PCT Pub. No. WO2021/191007, PCT Pub. Date Sep. 30, 2021.
Claims priority of application No. 20165864 (EP), filed on Mar. 26, 2020.
Prior Publication US 2023/0152404 A1, May 18, 2023
Int. Cl. G01R 33/56 (2006.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G01R 33/50 (2006.01); G01R 33/563 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/174 (2017.01)
CPC G01R 33/5607 (2013.01) [A61B 5/055 (2013.01); A61B 5/4312 (2013.01); G01R 33/50 (2013.01); G01R 33/56341 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/174 (2017.01); G06T 2207/10088 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A medical system comprising:
a non-transitory memory configured to store machine executable instructions;
a computational system configured to control the medical system, wherein execution of the machine executable instructions causes the computational system to:
receive an echo planar diffusion weighted magnetic resonance image of a region of interest descriptive of breast tissue;
receive a fat suppressed T2 weighted magnetic resonance image descriptive of the region of interest;
segment the echo planar diffusion weighted magnetic resonance image to identify high diffusion rate regions wherein the high diffusion rate regions are regions with a diffusion rate above a predetermined diffusion rate threshold;
segment the fat suppressed T2 weighted magnetic resonance image to identify tissue regions;
process the high diffusion rate regions and the tissue regions to identify a portion of the tissue regions as advisory regions;
receive a conductivity map descriptive of the region of interest;
calculate a conductivity measure of each of the advisory regions using the conductivity map;
assign a classification of each of the advisory regions according to the conductivity measure; and
provide the advisory regions as a segmentation of the fat suppressed T2 weighted magnetic resonance image.