US 12,488,467 B2
Multiple-quality assessments from single segmentation algorithm
Antoine Olivier, Suresnes (FR); Caroline Denise Francoise Raynaud, Suresnes (FR); Cybele Ciofolo-Veit, Meudon (FR); and Laurence Rouet, Paris (FR)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 18/035,188
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Nov. 3, 2021, PCT No. PCT/EP2021/080428
§ 371(c)(1), (2) Date May 3, 2023,
PCT Pub. No. WO2022/096471, PCT Pub. Date May 12, 2022.
Claims priority of application No. 20290076 (EP), filed on Nov. 9, 2020.
Prior Publication US 2023/0401719 A1, Dec. 14, 2023
Int. Cl. G06T 7/11 (2017.01); G06T 7/00 (2017.01); G06T 7/60 (2017.01)
CPC G06T 7/11 (2017.01) [G06T 7/0012 (2013.01); G06T 7/60 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/30044 (2013.01); G06T 2207/30168 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method of analyzing an ultrasound image, comprising:
receiving an ultrasound image of an imaging region having features of interest;
performing segmentation on the ultrasound image to identify the features of interest;
performing a biometry measurement of the features of interest present in the image;
generating a segmentation quality assessment relating to the quality of the segmentation;
generating an image content quality assessment for the image relating at least to which features of interest have been identified in the image;
combining the segmentation quality assessment and the image content quality assessment derive an overall quality assessment for the biometry measurements, wherein the segmentation quality assessment and the image content quality assessment are derived from a single segmentation algorithm; and
outputting the overall quality assessment.