2023/10/09 by Pengwen Chen, Chen, Pengwen, Albert Fannjiang +1
Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Seismic Imaging and Inversion Techniques #Photoacoustic and Ultrasonic Imaging #Atomic and Subatomic Physics Research
paper · pdf · doi:10.48550/arxiv.2310.05571
This study presents a noise-robust framework for 1-bit diffraction tomography, a novel imaging approach that relies on intensity-only binary measurements obtained through coded apertures. The proposed reconstruction scheme leverages random matrix theory and iterative algorithms to effectively recover 3D object structures under high-noise conditions. A key contribution is the numerical investigation of dose fractionation, revealing optimal performance at a signal-to-noise ratio near 1, \em independent of the total dose. This finding addresses the question: How to distribute a given level of total radiation energy among different tomographic views in order to optimize the quality of reconstruction?