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SA-Profile: Automated Sulcus Angle Profiling from Super-Resolution MRI — arXiv:2609.10125

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.10125
License (as archived): CC0-1.0
Archived: 2026-10-16T07:26:56.014Z
SHA-256 of the archived text: c0a7ecab1e95afcdf1756c9c66a9e3a0f827b5843abd3dab83db5960ad7c5002
Stable URL of this page: https://metraipolis.com/documento/dc_8efedca109fe

How to cite

SA-Profile: Automated Sulcus Angle Profiling from Super-Resolution MRI — arXiv:2609.10125 — arXiv (en), https://arxiv.org/abs/2609.10125 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_8efedca109fe (Metraipolis archive dc_8efedca109fe, sha256 c0a7ecab1e95afcdf1756c9c66a9e3a0f827b5843abd3dab83db5960ad7c5002)

BibTeX

@misc{dc8efedca109fe,
  title = {SA-Profile: Automated Sulcus Angle Profiling from Super-Resolution MRI — arXiv:2609.10125},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.10125},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_8efedca109fe; sha256 c0a7ecab1e95afcdf1756c9c66a9e3a0f827b5843abd3dab83db5960ad7c5002},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.10125. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Trochlear dysplasia (TD) is an abnormality of the femoral trochlea associated with anterior knee pain and patellar instability. The sulcus angle (SA) is used to assess trochlear morphology, but it is typically measured on a single axial MR slice with no clear guidance on which to select, making it sensitive to slice selection and landmark placement. We propose an automatic framework for continuous SA profiling from super-resolved MR volumes. Clinically acquired axial, coronal, and sagittal MR scans are combined using implicit neural representations to reconstruct a high-resolution volume. SA measurements are computed across the trochlear region using two landmark detection U-Net models. The approach was evaluated on the public fastMRI dataset and a small in-house cohort of patients with TD. Compared with conventional manual single-slice SA measurements, the proposed automated method yielded a mean absolute error of 11.6$^\circ$ while providing continuous characterization of trochlear morphology. Population-level analysis demonstrated distinct mean SA profiles between the public cohort and the in-house TD cohort, highlighting the potential of profile-based assessment to characterize TD. By reducing reliance on a single manually selected axial slice, the proposed framework extends conventional SA assessment to a continuous profile-based description of trochlear morphology without additional imaging, while remaining conceptually linked to current clinical assessment. Further validation is required. The code is available: this https URL .

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-10 in cs.AI).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2609.10125 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T07:00:16.388Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-09-10?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).