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Curved-slit collimation for fan-beam-based virtual fluoroscopy
Laurent Desbat1, Odran Pivot1, Patrick Pittet2
1Université Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000 Grenoble, France.
Physics in Medicine and Biology
|April 15, 2026
Summary
New curved-slit collimation significantly improves virtual fluoroscopy by reducing radiation exposure during interventional radiology. This fan-beam technology enhances precision and addresses limitations of previous straight-slit designs.
Area of Science:
- Medical Imaging
- Radiological Physics
Background:
- Interventional radiology procedures involve significant radiation exposure for patients and physicians.
- Virtual fluoroscopy using fan-beams offers a method to reduce this irradiation.
- Previous fan-beam approaches utilized straight-slit collimation.
Purpose of the Study:
- To demonstrate the benefits of curved-slit collimation for fan-beam generation in virtual fluoroscopy.
- To compare the performance of curved-slit collimation against straight-slit collimation.
- To develop a framework for analyzing and optimizing collimator slit geometry.
Main Methods:
- Studied spiral-slits enabling localization procedures similar to straight-slits.
- Analyzed the dependence of localization error on slit shape and established error bounds.
- Evaluated performance of various curved-slit geometries using numerical experiments and X-ray equipment tests.
Main Results:
- Curved-slit geometries demonstrated systematic performance improvements over straight-slits.
- A specific curved-slit design (linear spiral and exponential parts) reduced localization error.
- The proposed curved-slit geometry resolved the blind central zone issue inherent in straight-slit designs.
Conclusions:
- Developed a framework for analyzing localization error amplification in rotating collimators with spiral-slits.
- Established criteria and bounds for optimizing slit geometry based on performance.
- The framework is adaptable for comparing collimator slits under diverse operating conditions.

