The sulcus angle is commonly used to assess trochlear morphology but is typically measured on a single axial MR slice. In this project, we developed an automated framework that extends this conventional measurement to a continuous sulcus angle profile across the trochlear region. Clinical axial, coronal, and sagittal MR scans are combined using implicit neural representations to reconstruct a high-resolution volume, from which sulcus angles are automatically determined using landmark detection networks. The method was evaluated on the public fastMRI dataset and an in-house cohort of patients with trochlear dysplasia, demonstrating distinct mean sulcus angle profiles between the two cohorts. The approach enables a more comprehensive description of trochlear morphology without requiring additional imaging and remains directly linked to established clinical assessment.