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Autonomous virtual mobile robot for three-dimensional medical image exploration: application to micro-CT cochlear
Luca Ferrarini1, Berit M Verbist, Hans Olofsen
1Division of Image Processing, Department of Radiology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Artificial Intelligence in Medicine
|April 18, 2008
Summary
An autonomous virtual mobile robot (AVMR) explores 3D tubular structures using neuro-fuzzy controllers and Hough transforms. This method accurately measures anatomical features, proving effective for medical imaging like cochleae micro-CT scans.
Area of Science:
- Medical Imaging
- Robotics
- Computational Geometry
Background:
- 3D tubular structures in medical imaging present exploration challenges.
- Accurate anatomical measurement is crucial for diagnosis and research.
Purpose of the Study:
- To present an autonomous virtual mobile robot (AVMR) for 3D exploration of unknown tubular structures.
- To enable direct anatomical measurements of organs using 3D medical images.
Main Methods:
- Developed an AVMR utilizing neuro-fuzzy controllers for 3D trajectory planning.
- Employed Hough transform for local cylinder fitting and radius estimation.
- Applied nonholonomic constraints for smooth and unique path generation.
Main Results:
- Validated the AVMR's robustness in synthetic environments.
- Successfully applied the AVMR to micro-CT datasets of cochleae.
- Demonstrated accurate automatic estimation of cochleae length and radius compared to manual delineations.
Conclusions:
- The AVMR functions as a reliable virtual endoscope for qualitative and quantitative analysis of 3D medical datasets.
- Nonholonomic constraints ensure a smooth, unique central path for investigation.
- The approach is a significant step towards validating clinical computed tomography (CT) studies.
