Effect of the software binning and averaging data during microcomputed tomography image acquisition.

Area of Science:

• Biomaterials Science
• Dental Research
• Imaging Technology

Background:

• Micro computed tomography (micro CT) is crucial for analyzing root resorption volumes.
• Orthodontic tooth movement can induce root resorption, necessitating accurate volume assessment.
• Image acquisition parameters, including software binning and data averaging, may influence micro CT results.

Purpose of the Study:

• To investigate the effect of software binning and data averaging on micro CT assessment of root resorption volumes.
• To evaluate how different acquisition parameters influence the measurement of resorption lacunae volumes in rat molar roots.

Main Methods:

• Mesial roots (n=9) from rats subjected to orthodontic tooth movement for 14 days were scanned using micro CT (9 µm/pixel).
• Roots were reconstructed, and resorption lacunae volumes were evaluated under various acquisition parameters (A1-A9).
• Statistical analysis was performed to compare mean resorption volumes across different parameters and roots.

Main Results:

• Significant variations in resorption volumes were observed across different acquisition parameters for individual roots.
• Specific parameter combinations (e.g., A4 and A7) showed similar mean resorption volumes in some roots.
• A significant difference (p=0.04) in resorption volume was detected among roots #2, #5, and #9, highlighting parameter influence.

Conclusions:

• Software binning and data averaging parameters during micro CT acquisition critically affect root resorption volume measurements.
• Careful selection and standardization of micro CT parameters are essential for reliable analysis of delicate biological structures like rat molar roots.
• Variations in acquisition parameters can lead to significantly different outcomes in root resorption studies.