Regularized Iterative Weighted Filtered Back-Projection for Few-View Data Photoacoustic Imaging

Area of Science:

• Biomedical optics
• Medical imaging
• Image reconstruction

Background:

• Photoacoustic imaging (PAI) is a promising noninvasive biomedical imaging modality.
• Limited-view data in PAI often leads to streak artifacts using traditional filtered back-projection (FBP).

Purpose of the Study:

• To develop and evaluate a regularized iterative weighted filtered back-projection (IWFBP) method for few-view PAI.
• To reduce streak artifacts and improve image quality in PAI reconstruction from limited data.

Main Methods:

• Applied a regularized iterative weighted filtered back-projection method incorporating a non-exact 2D FBP algorithm.
• Introduced a regularization operation within the iterative loop to enhance image reconstruction.
• Utilized numerical simulations and quantitative image evaluation for performance assessment.

Main Results:

• The proposed regularized IWFBP method significantly reduced streak artifacts compared to standard FBP.
• Improved convergence properties of the iterative reconstruction scheme were observed.
• Demonstrated superior accuracy and noise robustness over conventional iterative FBP methods.

Conclusions:

• The regularized IWFBP method is effective for reconstructing high-quality photoacoustic images from few-view data.
• This technique offers enhanced performance for biomedical imaging applications requiring accurate optical absorption mapping.