Automated landmark-based symmetric and standard alignment of skull base structures on CT
Justin A. Cramer, Trevor Huff, Sean Kelly, Daniel Welch, Devin DeLuna, Conner Beyersdorf, Robin High, Matthew White

TL;DR
This paper introduces a new method for aligning skull base structures in head CT scans using anatomical landmarks, improving accuracy over traditional techniques.
Contribution
The novel contribution is a landmark-based alignment method that achieves standard orientation while improving skull base alignment accuracy.
Findings
Landmark-based alignment reduced whole head deviations in axial, sagittal, and coronal planes significantly.
Cochlea alignment using landmarks showed mean deviations of 0.552 and 0.511 mm, outperforming traditional registration methods.
Abstract
Symmetry and standard alignment are crucial in both clinical interpretation and research on head CT studies. Registration to a standard template is the traditional method for alignment, yet registration does not guarantee precise alignment of any given structure. This study introduces a method for aligning skull base structures while still achieving a standard anterior commissure-posterior commissure (AC-PC)-like orientation on head CT studies using landmarks, specifically the cochleas and nasal bridge. A retrospective study was conducted using head CTs from various General Electric scanners. Landmarks were manually annotated, and a 3D U-Net was trained for landmark identification. Landmark-based alignment was then performed on a test dataset and assessed in two different ways: whole head and skull base alignment. Whole head alignment was assessed quantitatively by expert review. Skull…
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Taxonomy
TopicsDental Radiography and Imaging · Medical Imaging and Analysis · Medical Image Segmentation Techniques
