X-ray-induced acoustic computed tomography (XACT) is a hybrid imaging modality for detecting X-ray absorption distribution via ultrasound emission. It facilitates imaging from a single projection X-ray illumination, thus reducing the radiation exposure and improving imaging speed. Nonuniform detector response caused by the interference between multichannel data acquisition for ring array transducers and amplifier systems yields ring artifacts in the reconstructed XACT images, which compromises the image quality. We propose model-based algorithms for ring artifacts corrected XACT imaging and demonstrate their efficacy on numerical and experimental measurements. The corrected reconstructions indicate significantly reduced ring artifacts as compared to their conventional counterparts.
Keyphrases
- image quality
- dual energy
- high resolution
- computed tomography
- positron emission tomography
- magnetic resonance imaging
- machine learning
- contrast enhanced
- high glucose
- big data
- optical coherence tomography
- oxidative stress
- artificial intelligence
- pet ct
- endothelial cells
- convolutional neural network
- photodynamic therapy
- fluorescence imaging
- magnetic resonance
- high throughput