Contrast Media & Molecular Imaging

Magnetomotive Photoacoustic in Biomedical Applications


Publishing date
01 Apr 2022
Status
Closed
Submission deadline
03 Dec 2021

1Vrije Universiteit Brussel, Brussels, Belgium

2Botswana International University of Science and Technology, Palapya, Botswana

3Amirkabir University of Technology, Tehran, Iran

This issue is now closed for submissions.

Magnetomotive Photoacoustic in Biomedical Applications

This issue is now closed for submissions.

Description

Magnetic fields are used in everyday life and in specific occupational environments. Biomedical imaging has been an essential tool in daily medical diagnostics. For more than a century, biomedical imaging technologies have been developed to provide anatomical, functional and molecular information of internal organs. Optical imaging and ultrasound imaging have been two major modalities. Used in fundamental physics, optical imaging and ultrasound imaging have been explored by different research communities.

Magnetomotive photoacoustic imaging (mmPA) modalities have helped find a way to integrate optical and ultrasound merits, (e.g., rich optical contrast and deep ultrasound resolution). Photoacoustic imaging (PAI) has become increasingly popular in both research and industrial communities. The achievements of this method include but are not limited to: mmPA microscopy, mmPA tomography, mmPA endoscopy, mmPA intravascular probe, contrast-enhanced mmPA, related physics, system and algorithm design. Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution is also a great solution for seeing physiology and pathology at the molecular level. PAI combines optical contrast with the ultrasonic resolution and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated potential applications in brain imaging and cancer imaging such as breast cancer, prostate cancer, oval cancer, etc.

The aim of this Special Issue is to attract original research articles about the current and novel pre-clinical and clinical biomedical applications of PAI. Review articles discussing the state of the art are also welcome.

Potential topics include but are not limited to the following:

  • Brain imaging
  • Electromagnetic bioeffects and field modelling
  • Cancer imaging
  • Image reconstruction
  • Quantitative imaging
  • Light source and delivery for PAI
  • Photoacoustic detector
  • Nanoparticles designed for PAI
  • Photoacoustic molecular imaging and spectroscopy
  • Biomedical imaging
  • Photoacoustic imaging
  • Thermo-acoustic imaging
  • Optical and ultrasound imaging
  • Acoustics
  • Bio photonics

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8233511
  • - Research Article

Particle Swarm Algorithm-Based Analysis of Pelvic Dynamic MRI Images in Female Stress Urinary Incontinence

Dongfang Su | Yufang Wen | Qing Lin
  • Special Issue
  • - Volume 2021
  • - Article ID 9935754
  • - Research Article

Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning

Tingting Ma | Ziyuan Ma | ... | Fubo Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 9032017
  • - Research Article

The Value of Convolutional Neural Network-Based Magnetic Resonance Imaging Image Segmentation Algorithm to Guide Targeted Controlled Release of Doxorubicin Nanopreparation

Hujun Liu | Hui Gao | Fei Jia
  • Special Issue
  • - Volume 2021
  • - Article ID 6179177
  • - Research Article

Optimized Clustering Algorithm for Comparative Analysis of Different Prenatal Corticosteroid Neurological Deficits in Premature Infants through Magnetic Reasoning Imaging (MRI)

Shu Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 8947789
  • - Research Article

Diagnosis and Treatment Effect of Convolutional Neural Network-Based Magnetic Resonance Image Features on Severe Stroke and Mental State

Lihong Han | Li Liu | ... | Lan Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 4095433
  • - Research Article

Magnetic Resonance Imaging Features of Cerebral Infarction in Critical Patients Based on Convolutional Neural Network

Yi Bo | Junli Xie | ... | Zhenjiang Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 7598613
  • - Research Article

Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images

Yanyan Pan | Huiping Zhang | ... | Ge Song
  • Special Issue
  • - Volume 2021
  • - Article ID 3970529
  • - Research Article

Firework Optimization Algorithm-Based Diagnosis of Hepatocellular Carcinoma and Hepatic Cavernous Hemangioma Using MRI Images

Geng Liu | Huiqun Chen | ... | Lei Song
  • Special Issue
  • - Volume 2021
  • - Article ID 2529936
  • - Research Article

Diagnosis of Early Neurological Deterioration after Intravenous Thrombolysis for Patients with Cerebral Ischemic Stroke Using Compressed Sensing-Magnetic Resonance Imaging Algorithm

Junjun Wang | Benxiao Wang | ... | Hui Yan
  • Special Issue
  • - Volume 2021
  • - Article ID 9668836
  • - Research Article

MRI Image Segmentation Model with Support Vector Machine Algorithm in Diagnosis of Solitary Pulmonary Nodule

Bo Feng | Meihua Zhang | ... | Yanli Zheng
Contrast Media & Molecular Imaging
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