Effect of perioperative β blockade in patients with diabetes undergoing major non-cardiac surgery: randomised placebo controlled, blinded multicentre trial

TLDR

Micro‑CT provides detailed, non‑destructive imaging of human permanent teeth, enabling epidemiological studies and informing endodontic treatment. The study proposes an automated image‑processing method to describe the internal morphology of human permanent teeth. The method involved scanning 104 teeth with high‑resolution micro‑CT and processing the data with Python scripts in a Jupyter notebook to generate datasets and measure apical regions. The automated approach offers a rapid, reproducible, and standardized way to scan, preview, and segment micro‑CT datasets for detailed internal morphology analysis of human permanent teeth.

Abstract

<h3>Abstract</h3> Micro-CT is a powerful tool to analyze and visualize the internal morphology of human permanent teeth. It is increasingly used for investigation of epidemiological questions to provide the dentist with the necessary information required for successful endodontic treatment. The aim of the present paper was to propose an image processing method to automate parts of the work needed to fully describe the internal morphology of human permanent teeth. One hundred and four human teeth were scanned on a high-resolution micro-CT using an automatic specimen changer. Python code in a Jupyter notebook was used to verify and process the scans, prepare the datasets for description of the internal morphology and to measure the apical region of he tooth. The presented method offers an easy, non-destructive, rapid and efficient approach to scan, check and preview micro-computer tomographic datasets of a large number of teeth. It is a helpful tool for the detailed description and characterization of the internal morphology of human permanent teeth using automated segmentation by means of micro-CT with full reproducibility and high standardization.