Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's...

Area of Science:

• Medical Imaging
• Radiological Physics

Background:

• Cone-beam computed tomography (CBCT) is vital for image-guided surgery, radiation therapy, and diagnostics.
• Non-circular and customized trajectories offer improved sampling and field of view (FOV).
• Prior patient anatomy data enables integration into acquisition via customized CBCT trajectories.

Purpose of the Study:

• To review and discuss literature on cone-beam computed tomography (CBCT) trajectory optimization.
• To provide an exhaustive review of customized CBCT algorithms.
• To update the community on current progress and future trends in CBCT trajectory optimization.

Main Methods:

• Literature review of customized CBCT algorithms and trajectory optimization techniques.
• Analysis of advancements in robotic CBCT C-arms and multi-source CBCT systems.
• Discussion of techniques modifying image geometry for enhanced imaging performance.

Main Results:

• Customized CBCT trajectories enhance image quality, extend FOV, and reduce radiation dose.
• Techniques facilitate metal artifact reduction and 3D imaging under kinematic constraints.
• Recent developments in scanning geometries expand possibilities beyond conventional circular trajectories.

Conclusions:

• CBCT trajectory optimization is crucial for advancing image-guided therapy and diagnostics.
• Customized trajectories offer patient-specific imaging settings for optimized performance.
• This review provides a comprehensive overview of the field, highlighting future research directions.