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This lecture focuses on the calculation of glenoid bone mineral density and the development of new methods to improve the accuracy of determining patient-specific thickness. By analyzing CT scans and implementing two different methods, the instructor demonstrates how these approaches impact the percentage of cortical pixels in the regions of interest. Results show that while the proportional cut method does not enhance the results, the maximization method increases the percentage in the cortical layer and slightly improves the prediction of glenoid shape and thickness. The lecture concludes by discussing potential future enhancements to optimize computational time and explore alternative maximization functions.