Non-destructive measurement of egg yolk weight and percentage based on magnetic resonance imaging.

ABSTRACT: With the expanding egg processing industry and increasing demand for egg yolk powder, efficient non-destructive methods for detecting yolk percentage have garnered significant attention. Existing non-destructive testing techniques frequently exhibit limited accuracy for brown eggs. To establish the optimal setup for non-destructive yolk measurement, we compared magnetic resonance imaging (MRI) field strengths and found that 3.0 T provided the best performance. Building on this, we established a standardized imaging workflow using 3D Slicer software, enabling non-destructive measurement of yolk volume and other relevant parameters. To build a robust predictive model, we then scanned 360 white eggs and 750 brown eggs, isolating the yolk via image segmentation algorithms to calculate paramete

SUBMITTER: Luo B 

PROVIDER: S-EPMC12529495 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature