DensePANet: An improved generative adversarial network for photoacoustic tomography image reconstruction from sparse data

arXiv:2404.13101v1 Announce Type: cross
Abstract: Image reconstruction is an essential step of every medical imaging method, including Photoacoustic Tomography (PAT), which is a promising modality of imaging, that unites the benefits of both ultrasound and optical imaging methods. Reconstruction of PAT images using conventional methods results in rough artifacts, especially when applied directly to sparse PAT data. In recent years, generative adversarial networks (GANs) have shown a powerful performance in image generation as well as translation, rendering them a smart …

abstract adversarial arxiv benefits cs.ai cs.cv data eess.iv every generative generative adversarial network image images imaging medical medical imaging network optical results type