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Methodology for pediatric head computed tomography image segmentation and volumetric calculation using a tablet
H Hashimoto1,2,3,4, M Shimada5, O Takemoto6
1Department of Neurosurgery, Osaka Women's and Children's Hospital, Izumi, Osaka, 594-1101, Japan. h-hashimoto@ndr.med.osaka-u.ac.jp.
Summary
A new MATLAB method for calculating intracranial volumes from head CT scans shows comparable results to established methods. While statistically different in paired tests, population groups showed no significant volumetric differences, suggesting its potential as a valuable tool.
Area of Science:
- Medical Imaging
- Computational Anatomy
- Neurosurgery
Background:
- Accurate intracranial volume measurement is crucial for diagnosing and managing various neurological conditions.
- Existing methods for volumetric analysis of head computed tomography (CT) data can be complex and time-consuming.
Purpose of the Study:
- To present a novel MATLAB-based methodology for calculating intracranial volumes from head CT data.
- To compare the accuracy and reliability of this new method against established volumetric analysis techniques.
Main Methods:
- Manual segmentation of regions of interest (ROI) on CT images using a stylus and tablet interface.
- A three-step volumetric calculation process: single voxel volume calculation, total voxel counting within ROI, and multiplication.
- Application of the method to 83 pediatric head CT scans and comparison with OsiriX software.
Main Results:
- A paired t-test indicated a statistically significant difference (p < 0.001) between the MATLAB method and OsiriX, with the MATLAB method yielding 0.32% higher volumes.
- An unpaired t-test found no statistically significant differences between the volumetric population groups (p = 0.84).
Conclusions:
- The observed statistical differences are likely due to variations in calculation algorithms between the two methods.
- The lack of significant difference in population groups suggests that the MATLAB method's results originate from the same underlying population as OsiriX.
- The developed MATLAB methodology shows potential as a valuable and reliable tool for intracranial volumetric measurements.
