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Source-detector trajectory optimization for CBCT metal artifact reduction based on PICCS reconstruction.

Sepideh Hatamikia¹, Ander Biguri², Gernot Kronreif³

¹Austrian Center for Medical Innovation and Technology (ACMIT), Wiener Neustadt, Austria; Research center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University, Krems, Austria; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Zeitschrift Fur Medizinische Physik

|March 27, 2023

Summary

This summary is machine-generated.

This study introduces a new method for designing C-arm cone beam computed tomography (CBCT) imaging trajectories to reduce metal artifacts from needles during interventional procedures. The optimized trajectories improve image quality and potentially lower radiation dose for patients.

Keywords:

CBCT reconstruction Metal artifact reduction Needle-based interventions Trajectory optimization

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Area of Science:

Medical Imaging
Interventional Radiology
Image Reconstruction

Background:

Precise instrument placement is crucial for interventional procedures, especially percutaneous needle biopsies.
C-arm cone beam computed tomography (CBCT) aids visualization but suffers from metal artifacts, hindering needle localization.
Existing methods struggle to accurately identify needle positions due to these artifacts.

Purpose of the Study:

To develop a framework for customized CBCT trajectory design to minimize metal artifacts during needle-based interventions.
To optimize out-of-plane rotations and reduce projection views while preserving image quality in specific regions of interest (VOIs).
To evaluate the feasibility of these optimized trajectories under kinematic constraints.

Main Methods:

Proposed a Prior Image Constrained Compressed Sensing (PICCS) reconstruction framework for customized trajectory design.
Optimized 3D trajectories by adjusting out-of-plane rotations and minimizing projection views.
Validated the approach using an anthropomorphic thorax phantom with inserted needle and tumor models, simulating kinematic constraints.

Main Results:

Optimized trajectories with PICCS significantly reduced metal artifacts compared to standard circular trajectories (FDK and PICCS) with sparse or full projections.
Achieved high Structural Similarity Index Measure (SSIM) and Universal Quality Index (UQI) values, indicating superior image reconstruction quality.
Demonstrated compatibility with spatially constrained situations and kinematic limitations, outperforming standard circular trajectories.

Conclusions:

The proposed customized trajectory design framework effectively reduces metal artifacts in needle-based CBCT interventions.
This method offers potential for radiation dose reduction due to the reduced number of projections required.
Optimized trajectories provide a viable alternative for CBCT imaging in challenging, spatially constrained environments.