Research Progress on Parameter-Changed Computational Imaging Techniques

2020 ◽  
Vol 57 (16) ◽  
pp. 160001
Author(s):  
郭澄 Guo Cheng ◽  
耿勇 Geng Yong ◽  
翟玉兰 Zhai Yulan ◽  
左琴 Zuo Qin ◽  
温秀 Wen Xiu ◽  
...  
Keyword(s):  
Imaging Techniques ◽  
Computational Imaging ◽  
Research Progress

scholarly journals DIGITAL RECONSTRUCTION OF SOFT-TISSUE STRUCTURES IN FOSSILS

2016 ◽  
Vol 22 ◽  
pp. 101-117 ◽  
Author(s):  
Stephan Lautenschlager
Keyword(s):  
Soft Tissue ◽  
Soft Tissues ◽  
Imaging Techniques ◽  
Analytical Techniques ◽  
Computational Imaging ◽  
Whole Body ◽  
Element Analysis ◽  
Digital Reconstruction ◽  
New Information ◽  
Tissue Structures

AbstractIn the last two decades, advances in computational imaging techniques and digital visualization have created novel avenues for the study of fossil organisms. As a result, paleontology has undergone a shift from the pure study of physically preserved bones and teeth, and other hard tissues, to using virtual computer models to study specimens in greater detail, restore incomplete specimens, and perform biomechanical analyses. The rapidly increasing application of these techniques has further paved the way for the digital reconstruction of soft-tissue structures, which are rarely preserved or otherwise available in the fossil record. In this contribution, different types of digital soft-tissue reconstructions are introduced and reviewed. Provided examples include methodological approaches for the reconstruction of musculature, endocranial components (e.g., brain, inner ear, and neurovascular structures), and other soft tissues (e.g., whole-body and life reconstructions). Digital techniques provide versatile tools for the reconstruction of soft tissues, but given the nature of fossil specimens, some limitations and uncertainties remain. Nevertheless, digital reconstructions can provide new information, in particular if interpreted in a phylogenetically grounded framework. Combined with other digital analytical techniques (e.g., finite element analysis [FEA], multibody dynamics analysis [MDA], and computational fluid dynamics [CFD]), soft-tissue reconstructions can be used to elucidate the paleobiology of extinct organisms and to test competing evolutionary hypotheses.

scholarly journals Correlations in Joint Spectral and Polarization Imaging

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 6
Author(s):  
Guillaume Courtier ◽  
Pierre-Jean Lapray ◽  
Jean-Baptiste Thomas ◽  
Ivar Farup
Keyword(s):  
Imaging Techniques ◽  
Image Data ◽  
Computational Imaging ◽  
Channel Correlation ◽  
Image Statistics ◽  
Polarization Imaging ◽  
Joint Processing ◽  
Polarization Image ◽  
Spectral Channels

Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we present observations for different correlations between spectropolarimetric channels. The analysis is performed on several publicly available databases that are unified for joint processing. We perform global investigation and analysis on several specific clusters of materials or reflection types. We observe that polarization channels generally have more inter-channel correlation than the spectral channels.

scholarly journals Nanoformulations of Ursolic Acid: A Modern Natural Anticancer Molecule

2021 ◽  
Vol 12 ◽  
Author(s):  
Longyun Wang ◽  
Qianqian Yin ◽  
Cun Liu ◽  
Ying Tang ◽  
Changgang Sun ◽  
...  
Keyword(s):  
Anticancer Activity ◽  
Ursolic Acid ◽  
Clinical Application ◽  
Water Solubility ◽  
Pharmacological Study ◽  
Computational Imaging ◽  
Research Progress ◽  
Pentacyclic Triterpene ◽  
Mucosal Absorption

Background: Ursolic acid (UA) is a natural pentacyclic triterpene derived from fruit, herb, and other plants. UA can act on molecular targets of various signaling pathways, inhibit the growth of cancer cells, promote cycle stagnation, and induce apoptosis, thereby exerting anticancer activity. However, its poor water-solubility, low intestinal mucosal absorption, and low bioavailability restrict its clinical application. In order to overcome these deficiencies, nanotechnology, has been applied to the pharmacological study of UA.Objective: In this review, we focused on the absorption, distribution, and elimination pharmacokinetics of UA in vivo, as well as on the research progress in various UA nanoformulations, in the hope of providing reference information for the research on the anticancer activity of UA.Methods: Relevant research articles on Pubmed and Web of Science in recent years were searched selectively by using the keywords and subheadings, and were summarized systematically.Key finding: The improvement of the antitumor ability of the UA nanoformulations is mainly due to the improvement of the bioavailability and the enhancement of the targeting ability of the UA molecules. UA nanoformulations can even be combined with computational imaging technology for monitoring or diagnosis.Conclusion: Currently, a variety of UA nanoformulations, such as micelles, liposomes, and nanoparticles, which can increase the solubility and bioactivity of UA, while promoting the accumulation of UA in tumor tissues, have been prepared. Although the research of UA in the nanofield has made great progress, there is still a long way to go before the clinical application of UA nanoformulations.

scholarly journals Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins

2021 ◽  
Vol 8 ◽  
Author(s):  
Lei Feng ◽  
Baohua Wu ◽  
Susu Zhu ◽  
Yong He ◽  
Chu Zhang
Keyword(s):  
Machine Learning ◽  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Food Quality ◽  
Near Infrared ◽  
Imaging Techniques ◽  
Machine Learning Techniques ◽  
Research Progress ◽  
Food Fraud ◽  
Learning Techniques

Food quality and safety are strongly related to human health. Food quality varies with variety and geographical origin, and food fraud is becoming a threat to domestic and global markets. Visible/infrared spectroscopy and hyperspectral imaging techniques, as rapid and non-destructive analytical methods, have been widely utilized to trace food varieties and geographical origins. In this review, we outline recent research progress on identifying food varieties and geographical origins using visible/infrared spectroscopy and hyperspectral imaging with the help of machine learning techniques. The applications of visible, near-infrared, and mid-infrared spectroscopy as well as hyperspectral imaging techniques on crop food, beverage, fruits, nuts, meat, oil, and some other kinds of food are reviewed. Furthermore, existing challenges and prospects are discussed. In general, the existing machine learning techniques contribute to satisfactory classification results. Follow-up researches of food varieties and geographical origins traceability and development of real-time detection equipment are still in demand.

scholarly journals Lens-Loaded Coded Aperture with Increased Information Capacity for Computational Microwave Imaging

2020 ◽  
Vol 12 (9) ◽  
pp. 1531 ◽  
Author(s):  
Okan Yurduseven ◽  
Muhammad Ali Babar Abbasi ◽  
Thomas Fromenteze ◽  
Vincent Fusco
Keyword(s):  
Imaging Techniques ◽  
Radar Data ◽  
Computational Imaging ◽  
Coded Aperture ◽  
Information Coding ◽  
Hardware Complexity ◽  
Dielectric Lens ◽  
Coded Apertures ◽  
Single Pixel ◽  
Coding Capacity

Computational imaging using coded apertures offers all-electronic operation with a substantially reduced hardware complexity for data acquisition. At the core of this technique is the single-pixel coded aperture modality, which produces spatio-temporarily varying, quasi-random bases to encode the back-scattered radar data replacing the conventional pixel-by-pixel raster scanning requirement of conventional imaging techniques. For a frequency-diverse computational imaging radar, the coded aperture is of significant importance, governing key imaging metrics such as the orthogonality of the information encoded from the scene as the frequency is swept, and hence the conditioning of the imaging problem, directly impacting the fidelity of the reconstructed images. In this paper, we present dielectric lens loading of coded apertures as an effective way to increase the information coding capacity of frequency-diverse antennas for computational imaging problems. We show that by lens loading the coded aperture for the presented imaging problem, the number of effective measurement modes can be increased by 32% while the conditioning of the imaging problem is improved by a factor of greater than two times.

scholarly journals Magnetic Resonance Imaging as a Biomarker for Renal Cell Carcinoma

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yan Wu ◽  
Young Suk Kwon ◽  
Mina Labib ◽  
David J. Foran ◽  
Eric A. Singer
Keyword(s):  
Magnetic Resonance Imaging ◽  
Renal Cell Carcinoma ◽  
Magnetic Resonance ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Imaging Techniques ◽  
Computational Imaging ◽  
Resonance Imaging ◽  
Cross Sectional ◽  
Pubmed Search

As the most common neoplasm arising from the kidney, renal cell carcinoma (RCC) continues to have a significant impact on global health. Conventional cross-sectional imaging has always served an important role in the staging of RCC. However, with recent advances in imaging techniques and postprocessing analysis, magnetic resonance imaging (MRI) now has the capability to function as a diagnostic, therapeutic, and prognostic biomarker for RCC. For this narrative literature review, a PubMed search was conducted to collect the most relevant and impactful studies from our perspectives as urologic oncologists, radiologists, and computational imaging specialists. We seek to cover advanced MR imaging and image analysis techniques that may improve the management of patients with small renal mass or metastatic renal cell carcinoma.

A Prototype for a Palm-sized Photoacoustic Sensing Unit

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Fei Gao ◽  
Xiaohua Feng ◽  
Xilin Miao ◽  
Yuanjin Zheng
Keyword(s):  
Imaging Techniques ◽  
Low Cost ◽  
Low Frequency ◽  
Pulse Signal ◽  
Research Progress ◽  
Fundamental Physics ◽  
Sensing Applications ◽  
Data Acquisition Card ◽  
Potential Applications ◽  
The Cost

AbstractPhotoacoustic sensing and imaging techniques have experienced tremendous research progress, ranging from fundamental physics and methodologies to various biomedical and clinical applications in recent years. However, the state-of-art photoacoustic systems still suffer from high cost and bulky size, which hinders their potential applications for low-cost and portable diagnostics. In this paper, we propose the design for a palm-size photoacoustic sensor prototype. The design’s lower cost and smaller size would allow it to be used for portable photoacoustic sensing applications like oxygen saturation and temperature. By converting the high-frequency photoacoustic pulse signal to low-frequency photoacoustic DC signal through a rectifier circuit, the proposed photoacoustic receiver could potentially reduce the cost and device size efficiently, compared with the conventional highspeed data acquisition card interfaced with computer solutions. Preliminary testing is demonstrated to show its feasibility for photoacoustic sensing applications.

Sign in / Sign up

Export Citation Format

Share Document