Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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 also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with 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 applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.

photoacoustic imaging --- tomography --- thermoacoustic --- radio frequency --- image quality assessment --- image formation theory --- image reconstruction techniques --- sparsity --- signal processing --- deconvolution --- empirical mode decomposition --- signal deconvolution --- photoacoustics --- tissue characterization --- absorption --- Photoacoustic Computed Tomography (PACT) --- ring array --- fast imaging --- low cost --- photoacoustic tomography --- full-field detection --- wave equation --- final time inversion --- uniqueness --- stability --- iterative reconstruction --- 3D photoacoustic tomography --- full-view illumination and ultrasound detection --- photoacoustic coplanar --- quartz bowl --- correlation matrix filter --- time reversal operator --- photo-acoustic tomography --- reflection artifacts --- deep learning --- convolutional neural network --- time reversal --- Landweber algorithm --- U-net --- optoacoustic imaging --- respiratory gating --- motion artifacts --- full-ring illumination --- diffused-beam illumination --- point source illumination --- ultrasound tomography (UST) --- photoacoustic tomography (PAT) --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Medicine has evolved into a high level of specialization using the very detailed imaging of organs. This has impressively solved a multitude of acute health-related problems linked to single-organ diseases. Many diseases and pathophysiological processes, however, involve more than one organ. An organ-based approach is challenging when considering disease prevention and caring for elderly patients, or those with systemic chronic diseases or multiple co-morbidities. In addition, medical imaging provides more than a pretty picture. Much of the data are now revealed by quantitating algorithms with or without artificial intelligence. This Special Issue on “Systems Radiology and Personalized Medicine” includes reviews and original studies that show the strengths and weaknesses of structural and functional whole-body imaging for personalized medicine.

Medicine --- COVID-19 --- chest X-ray --- deep learning --- convolutional neural network --- Grad-CAM --- computed tomography --- image analysis --- osteoarthritis --- reliability --- FDG-PET/CT --- infection --- bloodstream infection --- endocarditis --- vascular graft infection --- spondylodiscitis --- cyst infection --- white blood cell scintigraphy --- total body PET/CT --- radiotracers --- artificial intelligence --- contrast media --- body composition --- large vessel vasculitis --- atherosclerosis --- imaging --- FDG-PET --- radiological imaging --- MRI --- non-contrast --- venography --- TRANCE --- QFlow --- neuroblastoma --- nuclear medicine --- radionuclide imaging --- [123I]mIBG --- [124I]mIBG --- [18F]mFBG --- [18F]FDG --- [68Ga]Ga-DOTA peptides --- [18F]F-DOPA --- [11C]mHED --- chronic limb-threatening ischemia --- peripheral arterial disease --- calcification pattern --- diffuse idiopathic skeletal hyperostosis --- risk factors --- adiposity --- intra-abdominal fat --- cardiorenal syndrome --- imaging biomarker --- tissue characterization --- cerebral aneurysm --- computational fluid dynamics --- hemodynamic --- morphological --- rupture --- COVID-19 --- chest X-ray --- deep learning --- convolutional neural network --- Grad-CAM --- computed tomography --- image analysis --- osteoarthritis --- reliability --- FDG-PET/CT --- infection --- bloodstream infection --- endocarditis --- vascular graft infection --- spondylodiscitis --- cyst infection --- white blood cell scintigraphy --- total body PET/CT --- radiotracers --- artificial intelligence --- contrast media --- body composition --- large vessel vasculitis --- atherosclerosis --- imaging --- FDG-PET --- radiological imaging --- MRI --- non-contrast --- venography --- TRANCE --- QFlow --- neuroblastoma --- nuclear medicine --- radionuclide imaging --- [123I]mIBG --- [124I]mIBG --- [18F]mFBG --- [18F]FDG --- [68Ga]Ga-DOTA peptides --- [18F]F-DOPA --- [11C]mHED --- chronic limb-threatening ischemia --- peripheral arterial disease --- calcification pattern --- diffuse idiopathic skeletal hyperostosis --- risk factors --- adiposity --- intra-abdominal fat --- cardiorenal syndrome --- imaging biomarker --- tissue characterization --- cerebral aneurysm --- computational fluid dynamics --- hemodynamic --- morphological --- rupture

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Medicine has evolved into a high level of specialization using the very detailed imaging of organs. This has impressively solved a multitude of acute health-related problems linked to single-organ diseases. Many diseases and pathophysiological processes, however, involve more than one organ. An organ-based approach is challenging when considering disease prevention and caring for elderly patients, or those with systemic chronic diseases or multiple co-morbidities. In addition, medical imaging provides more than a pretty picture. Much of the data are now revealed by quantitating algorithms with or without artificial intelligence. This Special Issue on “Systems Radiology and Personalized Medicine” includes reviews and original studies that show the strengths and weaknesses of structural and functional whole-body imaging for personalized medicine.

Medicine --- COVID-19 --- chest X-ray --- deep learning --- convolutional neural network --- Grad-CAM --- computed tomography --- image analysis --- osteoarthritis --- reliability --- FDG-PET/CT --- infection --- bloodstream infection --- endocarditis --- vascular graft infection --- spondylodiscitis --- cyst infection --- white blood cell scintigraphy --- total body PET/CT --- radiotracers --- artificial intelligence --- contrast media --- body composition --- large vessel vasculitis --- atherosclerosis --- imaging --- FDG-PET --- radiological imaging --- MRI --- non-contrast --- venography --- TRANCE --- QFlow --- neuroblastoma --- nuclear medicine --- radionuclide imaging --- [123I]mIBG --- [124I]mIBG --- [18F]mFBG --- [18F]FDG --- [68Ga]Ga-DOTA peptides --- [18F]F-DOPA --- [11C]mHED --- chronic limb-threatening ischemia --- peripheral arterial disease --- calcification pattern --- diffuse idiopathic skeletal hyperostosis --- risk factors --- adiposity --- intra-abdominal fat --- cardiorenal syndrome --- imaging biomarker --- tissue characterization --- cerebral aneurysm --- computational fluid dynamics --- hemodynamic --- morphological --- rupture --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

Information technology industries --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson's disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson's disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson’s disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- n/a --- Parkinson's disease