scholarly journals Special Issue on Photoacoustic Tomography

2019 ◽  
Vol 9 (19) ◽  
pp. 4186
Author(s):  
Xueding Wang ◽  
Xinmai Yang ◽  
Xose Luis Dean-Ben
Keyword(s):  
Photoacoustic Imaging ◽  
Active Area ◽  
Photoacoustic Tomography ◽  
Special Issue ◽  
Optoacoustic Tomography ◽  
Area Of Study

Biomedical photoacoustic (or optoacoustic) tomography (PAT), or more generally, photoacoustic imaging (PAI), has been an active area of study and development in the last two decades [...]

scholarly journals A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Devin O’Kelly ◽  
James Campbell ◽  
Jeni L. Gerberich ◽  
Paniz Karbasi ◽  
Venkat Malladi ◽  
...  
Keyword(s):  
High Performance ◽  
Photoacoustic Imaging ◽  
Dynamic Imaging ◽  
Imaging Data ◽  
Spatiotemporal Resolution ◽  
Matlab Toolbox ◽  
User Perspective ◽  
Optoacoustic Tomography ◽  
High Performance Computing Cluster ◽  
Performance Computing

AbstractMultispectral photoacoustic tomography enables the resolution of spectral components of a tissue or sample at high spatiotemporal resolution. With the availability of commercial instruments, the acquisition of data using this modality has become consistent and standardized. However, the analysis of such data is often hampered by opaque processing algorithms, which are challenging to verify and validate from a user perspective. Furthermore, such tools are inflexible, often locking users into a restricted set of processing motifs, which may not be able to accommodate the demands of diverse experiments. To address these needs, we have developed a Reconstruction, Analysis, and Filtering Toolbox to support the analysis of photoacoustic imaging data. The toolbox includes several algorithms to improve the overall quantification of photoacoustic imaging, including non-negative constraints and multispectral filters. We demonstrate various use cases, including dynamic imaging challenges and quantification of drug effect, and describe the ability of the toolbox to be parallelized on a high performance computing cluster.

Special Issue on Bioelectronics

1991 ◽  
Vol 3 (2) ◽  
pp. 73-73
Author(s):  
Hideto Ide ◽  
Keyword(s):  
Research And Development ◽  
Sensory Information ◽  
Specific Area ◽  
Editorial Staff ◽  
Recognition System ◽  
Accurate Information ◽  
Special Issue ◽  
Sense Organs ◽  
Short History ◽  
Area Of Study

Recent biological approaches in robotic research and development have been advancing in two ways: 1) steady advances toward intelligent bio-systems by making sensors more integrated and functional, and 2) studies on the coordination of bio-information from various sources. For the coordination of bio-information dealt with in this special issue, its necessity was originally discussed in the area of mobile robots. For a mobile robot performing tasks autonomously, recognition of its relation with the external environment is essential. The concept perhaps came up as robotics aimed to improve robots' toughness to changing and unknown environments, by coordinating information from several sense organs (visual, tactile etc.) to obtain more accurate information. Man constructs a recognition system more reliably as a whole by coordinating various sets of sensory information. Attempts are also being made to con struct a new bio-information coordinating architecture aimed at achieving functions equivalent to those of human recognition. This special'issue was planned to present recent research and development as well as problems and trends in bio-information. This area of study is still in its infancy, with no study frameworks and methodology having been established in its short history. In contrast to other past special issues, this one stresses biological approaches, and I hope it will be helpful in developing the specific area of study mentioned here while helping robotists recognize current studies and problems. Finally, I express my sincere thanks to those who spared time to contribute to this issue, and to the editorial staff of the journal.

scholarly journals Passive infrasound monitoring is an active area of study

Physics Today ◽  
2018 ◽  
Vol 71 (8) ◽  
pp. 22-25
Author(s):  
Toni Feder
Keyword(s):  
Active Area ◽  
Area Of Study

PERFORMANCE OF BLIND DECONVOLUTION IN OPTOACOUSTIC TOMOGRAPHY

2011 ◽  
Vol 04 (04) ◽  
pp. 385-393 ◽  
Author(s):  
THOMAS JETZFELLNER ◽  
VASILIS NTZIACHRISTOS
Keyword(s):  
Point Spread Function ◽  
Near Infrared ◽  
Blind Deconvolution ◽  
Photoacoustic Imaging ◽  
Reconstructed Image ◽  
Optoacoustic Tomography ◽  
Point Spread ◽  
Spread Function ◽  
Old Mice ◽  
Unknown Point

In this paper, we consider the use of blind deconvolution for optoacoustic (photoacoustic) imaging and investigate the performance of the method as means for increasing the resolution of the reconstructed image beyond the physical restrictions of the system. The method is demonstrated with optoacoustic measurement obtained from six-day-old mice, imaged in the near-infrared using a broadband hydrophone in a circular scanning configuration. We find that estimates of the unknown point spread function, achieved by blind deconvolution, improve the resolution and contrast in the images and show promise for enhancing optoacoustic images.

scholarly journals Writer Identification in Old Handwritten Music Scores

2011 ◽  
pp. 27-63 ◽  
Author(s):  
Alicia Fornés ◽  
Josep Lladós ◽  
Gemma Sánchez ◽  
Horst Bunke
Keyword(s):  
Active Area ◽  
Connected Components ◽  
Textural Features ◽  
Symbol Recognition ◽  
Writer Identification ◽  
Text Documents ◽  
The Third ◽  
Handwritten Text ◽  
Area Of Study

Writer identification in handwritten text documents is an active area of study, whereas the identification of the writer of graphical documents is still a challenge. The main objective of this work is the identification of the writer in old music scores, as an example of graphic documents. The writer identification framework proposed combines three different writer identification approaches. The first one is based on the use of two symbol recognition methods, robust in front of hand-drawn distortions. The second one generates music lines and extracts information about the slant, width of the writing, connected components, contours and fractals. The third approach generates music texture images and computes textural features. The high identification rates obtained demonstrate the suitability of the proposed ensemble architecture. To the best of our knowledge, this work is the first contribution on writer identification from images containing graphical languages.

scholarly journals Special Issue “Researching Sports Biomechanics for Disabled People”

Sports ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 161
Author(s):  
Luca Paolo Ardigò ◽  
Ibrahim Ouergui ◽  
Johnny Padulo ◽  
Hadi Nobari ◽  
Damiano Formenti
Keyword(s):  
Physical Activity ◽  
Special Issue ◽  
Disabled People ◽  
High Interest ◽  
Area Of Study ◽  
Sports Biomechanics

Disabled people compete at high levels in several sport disciplines and physical activity for this population has become a high interest area of study in biomechanics [...]

scholarly journals Editorial: New Approaches to Political Leadership

2016 ◽  
Vol 4 (2) ◽  
pp. 1-4 ◽  
Author(s):  
Mark Bennister
Keyword(s):  
Political Leadership ◽  
Special Issue ◽  
The Core ◽  
New Approaches ◽  
Methodological Approaches ◽  
Area Of Study

This editorial introduces the special issue and considers what the articles tell us about new approaches to political leadership. The editorial explains how each article engages with the core puzzles of political leadership and brings together many diverse theoretical and methodological approaches to the study of political leadership, a vibrant area of study currently in the midst of an academic renaissance.

scholarly journals Portable and Affordable Light Source-Based Photoacoustic Tomography

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6173
Author(s):  
Mithun Kuniyil Ajith Singh ◽  
Wenfeng Xia
Keyword(s):  
Light Source ◽  
Photoacoustic Imaging ◽  
Imaging Modality ◽  
Clinical Translation ◽  
Photoacoustic Tomography ◽  
Light Sources ◽  
Excitation Light ◽  
Sensing Applications ◽  
Wide Range ◽  
Technological Developments

Photoacoustic imaging is a hybrid imaging modality that offers the advantages of optical (spectroscopic contrast) and ultrasound imaging (scalable spatial resolution and imaging depth). This promising modality has shown excellent potential in a wide range of preclinical and clinical imaging and sensing applications. Even though photoacoustic imaging technology has matured in research settings, its clinical translation is not happening at the expected pace. One of the main reasons for this is the requirement of bulky and expensive pulsed lasers for excitation. To accelerate the clinical translation of photoacoustic imaging and explore its potential in resource-limited settings, it is of paramount importance to develop portable and affordable light sources that can be used as the excitation light source. In this review, we focus on the following aspects: (1) the basic theory of photoacoustic imaging; (2) inexpensive light sources and different implementations; and (3) important preclinical and clinical applications, demonstrated using affordable light source-based photoacoustics. The main focus will be on laser diodes and light-emitting diodes as they have demonstrated promise in photoacoustic tomography—the key technological developments in these areas will be thoroughly reviewed. We believe that this review will be a useful opus for both the beginners and experts in the field of biomedical photoacoustic imaging.

Sign in / Sign up

Export Citation Format

Share Document