Hybrid computational imaging techniques

2009 ◽  
Author(s):  
Keith Lewis
Keyword(s):  
Imaging Techniques ◽  
Computational Imaging

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.

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 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 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.

Mitochondrial Reconstructions Based on Serial Thick Sections and HVEM

1975 ◽  
Vol 33 ◽  
pp. 286-287
Author(s):  
Jerome J. Paulin
Keyword(s):  
Imaging Techniques ◽  
Three Dimensional ◽  
Posterior Pole ◽  
Dimensional Structure ◽  
Stereo Imaging ◽  
Thin Sections ◽  
Anatomical Features ◽  
The Past ◽  
Cellular Components ◽  
Mitochondrial Reticulum

Within the past decade it has become apparent that HVEM offers the biologist a means to explore the three-dimensional structure of cells and/or organelles. Stereo-imaging of thick sections (e.g. 0.25-10 μm) not only reveals anatomical features of cellular components, but also reduces errors of interpretation associated with overlap of structures seen in thick sections. Concomitant with stereo-imaging techniques conventional serial Sectioning methods developed with thin sections have been adopted to serial thick sections (≥ 0.25 μm). Three-dimensional reconstructions of the chondriome of several species of trypanosomatid flagellates have been made from tracings of mitochondrial profiles on cellulose acetate sheets. The sheets are flooded with acetone, gluing them together, and the model sawed from the composite and redrawn.The extensive mitochondrial reticulum can be seen in consecutive thick sections of (0.25 μm thick) Crithidia fasciculata (Figs. 1-2). Profiles of the mitochondrion are distinguishable from the anterior apex of the cell (small arrow, Fig. 1) to the posterior pole (small arrow, Fig. 2).

Application of Lattice Imaging Techniques to Amorphous Films

1975 ◽  
Vol 33 ◽  
pp. 8-9
Author(s):  
S. R. Herd ◽  
P. Chaudhari
Keyword(s):  
Nearest Neighbor ◽  
Random Network ◽  
Imaging Techniques ◽  
Network Models ◽  
Accurate Method ◽  
Direct Transmission ◽  
Lattice Imaging ◽  
Transmission Electron ◽  
Lattice Planes ◽  
Nearest Neighbor Distances

Electron diffraction and direct transmission have been used extensively to study the local atomic arrangement in amorphous solids and in particular Ge. Nearest neighbor distances had been calculated from E.D. profiles and the results have been interpreted in terms of the microcrystalline or the random network models. Direct transmission electron microscopy appears the most direct and accurate method to resolve this issue since the spacial resolution of the better instruments are of the order of 3Å. In particular the tilted beam interference method is used regularly to show fringes corresponding to 1.5 to 3Å lattice planes in crystals as resolution tests.

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