Recent advances in deep learning for tomographic reconstructions have shown great
potential to create accurate and high quality images with a considerable speed up. In this …

Biomedical photoacoustic tomography, which can provide high-resolution 3D soft tissue
images based on optical absorption, has advanced to the stage at which translation from the …

Medical image reconstruction methods based on deep learning have recently demonstrated
powerful performance in photoacoustic tomography (PAT) from limited-view and sparse …

Photoacoustic tomography (PAT) is a non-ionizing imaging modality capable of acquiring
high contrast and resolution images of optical absorption at depths greater than traditional …

Recent advances in photoacoustic (PA) imaging have enabled detailed images of
microvascular structure and quantitative measurement of blood oxygenation or perfusion …

Photoacoustic imaging is an emerging imaging modality that is based upon the
photoacoustic effect. In photoacoustic tomography (PAT), the induced acoustic pressure …

The rapidly evolving field of optoacoustic (photoacoustic) imaging and tomography is driven
by a constant need for better imaging performance in terms of resolution, speed, sensitivity …

Conventional reconstruction methods for photoacoustic images are not suitable for the
scenario of sparse sensing and geometrical limitation. To overcome these challenges and …

In an inhomogeneously illuminated photoacoustic image, important information like vascular
geometry is not readily available, when only the initial pressure is reconstructed. To obtain …

Multispectral optoacoustic tomography is a high-resolution functional imaging modality that
can non-invasively access a broad range of pathophysiological phenomena. Real-time …