A novel hierarchical porous ZIF-8 for effective removal of three non-steroidal anti-inflammatory drugs simultaneously from environment.

Metal organic frameworks (MOFs) adsorbents have significant advantages to remove contaminates. While their microporous structure is not conducive to entry of larger molecules, making it difficult to simultaneously utilize the inner and outer surfaces of the pores to achieve higher adsorption capacity. In this work, the hexadecyltrimethylammonium bromide was employed as soft template to prepare a novel hierarchical porous ZIF-8 (HP-ZIF-8) in water.

A Deep Learning Method for Motion Artifact Correction in Intravascular Photoacoustic Image Sequence.

In vivo application of intravascular photoacoustic (IVPA) imaging for coronary arteries is hampered by motion artifacts associated with the cardiac cycle. Gating is a common strategy to mitigate motion artifacts. However, a large amount of diagnostically valuable information might be lost due to one frame per cycle.

Suppression of motion artifacts in intravascular photoacoustic image sequences.

Intravascular photoacoustic (IVPA) imaging is an image-based imaging modality for the assessment of atherosclerotic plaques. Successful application of IVPA for coronary arterial imaging requires one overcomes the challenge of motion artifacts associated with the cardiac cycle. We propose a method for correcting artifacts owing to cardiac motion, which are observed in sequential IVPA images acquired by the continuous pullback of the imaging catheter.

[Progress of motion artifact correction in photoacoustic microscopy and photoacoustic tomography].

Photoacoustic imaging (PAI) is a rapidly developing hybrid biomedical imaging technology, which is capable of providing structural and functional information of biological tissues. Due to inevitable motion of the imaging object, such as respiration, heartbeat or eye rotation, motion artifacts are observed in the reconstructed images, which reduce the imaging resolution and increase the difficulty of obtaining high-quality images. This paper summarizes current methods for correcting and compensating motion artifacts in photoacoustic microscopy (PAM) and photoacoustic tomography (PAT), discusses their advantages and limits and forecasts possible future work.