Automated method for determination of geological  horizons nonconformity according to  three-dimensional seismic data

The three‐dimensional seismic method is a different way of gathering and presenting seismic data. Instead of showing the subsurface beneath a profile line, 3-D displays give an, areal picture from the shallowest reflector to the deepest one that can be found seismically. Data are collected in the field with cross‐spreads that provide over 2000 evenly spaced depth points on each reflecting interface. Several variations of the cross‐spread technique give the same subsurface coverage while providing flexibility in data gathering. Because of the dense coverage, the method is best suited for problems requiring great detail, such as production problems. The usual presentation of 3-D data is a visual, moving display of emerging wavefronts covering four sq mi of surface. From this dynamic display, average velocity to each reflector and the dip direction and magnitude can be computed. The method has proved especially useful for the recognition of faults and determination of fault directions.

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Intellectual Measuring Complex for Control of Geometrical Parameters of Aviation Details

Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries - Advances in Mechatronics and Mechanical Engineering ◽

10.4018/978-1-7998-1415-3.ch015 ◽

2020 ◽

pp. 352-371

Author(s):

Mariia Kataieva ◽

Alina Yurchuk

Keyword(s):

Computer Simulation ◽

Measurement Error ◽

Three Dimensional ◽

Geometric Parameters ◽

Measurement Process ◽

Geometrical Parameters ◽

Automated Method ◽

Measuring Complex ◽

Graphic Depiction

This chapter proposes a new automated method of measuring complex three-dimensional surfaces of aircraft parts in static and dynamic modes. The method allows conducting measurements in closed conditions and at the site of the aircraft disposition. The method consists in the continuous determination of the coordinates of the points of the surface of the detail and their representation in a three-dimensional graphic depiction. New methods of measuring the geometric parameters of parts with the complex spatial surface are suggested. This opens the prospect for the development of new ways of measuring geometric parameters of parts in real-time with high metrological characteristics and computer simulation of the measurement process. The differential-digital method is based on the suggested zero-coordinate principle of the measurement process which involves simultaneous parts availability check, and connects measurement result obtained which provided a reduction in the order of measurement error.

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Conformation of Ribosomes from Escherichia Coli

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100051062 ◽

1974 ◽

Vol 32 ◽

pp. 210-211

Author(s):

M. Boublik ◽

W. Hellmann ◽

F. Jenkins

Keyword(s):

Binding Sites ◽

Ribosomal Proteins ◽

Fluorescent Dyes ◽

Protein Biosynthesis ◽

Three Dimensional ◽

Spatial Arrangement ◽

Dimensional Structure ◽

Complete Understanding ◽

And Function

The present knowledge of the three-dimensional structure of ribosomes is far too limited to enable a complete understanding of the various roles which ribosomes play in protein biosynthesis. The spatial arrangement of proteins and ribonuclec acids in ribosomes can be analysed in many ways. Determination of binding sites for individual proteins on ribonuclec acid and locations of the mutual positions of proteins on the ribosome using labeling with fluorescent dyes, cross-linking reagents, neutron-diffraction or antibodies against ribosomal proteins seem to be most successful approaches. Structure and function of ribosomes can be correlated be depleting the complete ribosomes of some proteins to the functionally inactive core and by subsequent partial reconstitution in order to regain active ribosomal particles.

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In Vitro Validation of an Automated Method Based on Color Doppler Imaging for Determination of Flow Volume in the Presence of Nonflat Velocity Distributions

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(97)88255-1 ◽

1998 ◽

Vol 31 (2) ◽

pp. 518A ◽

Cited By ~ 1

Author(s):

K Dennig

Keyword(s):

Color Doppler ◽

Color Doppler Imaging ◽

Doppler Imaging ◽

Flow Volume ◽

Automated Method

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Three Dimensional Structure Determination of Botulinum Neurotoxin

10.21236/ada368202 ◽

1999 ◽

Author(s):

Raymond C. Stevens

Keyword(s):

Structure Determination ◽

Botulinum Neurotoxin ◽

Three Dimensional ◽

Dimensional Structure ◽

Three Dimensional Structure

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An Automated Method for the Determination of Serum Calcium with Glyoxal Bis (2-Hydroxyanil)

Clinical Chemistry ◽

10.1093/clinchem/13.6.515 ◽

1967 ◽

Vol 13 (6) ◽

pp. 515-520 ◽

Cited By ~ 18

Author(s):

Genevieve Farese ◽

Janice L Schmidt ◽

Milton Mager

Keyword(s):

Serum Calcium ◽

Automated Analysis ◽

Automated Method ◽

Good Agreement

Abstract A completely automated analysis is described for the determination of serum calcium with glyoxal bis (2-hydroxyanil) solution (GBHA). The method is simple and precise, and the data obtained are in good agreement with results obtained by the manual GBHA procedure.

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Three-dimensional segmentation and depth-encoded visualization of choroidal vasculature using swept-source optical coherence tomography

Experimental Biology and Medicine ◽

10.1177/15353702211028540 ◽

2021 ◽

pp. 153537022110285

Author(s):

Hao Zhou ◽

Tommaso Bacci ◽

K Bailey Freund ◽

Ruikang K Wang

Keyword(s):

Optical Coherence Tomography ◽

Three Dimensional ◽

Age Related Macular Degeneration ◽

Optical Coherence ◽

Full Thickness ◽

Swept Source ◽

Automated Method ◽

Choroidal Imaging ◽

Choroidal Vasculature ◽

Choroidal Vessels

The choroid provides nutritional support for the retinal pigment epithelium and photoreceptors. Choroidal dysfunction plays a major role in several of the most important causes of vision loss including age-related macular degeneration, myopic degeneration, and pachychoroid diseases such as central serous chorioretinopathy and polypoidal choroidal vasculopathy. We describe an imaging technique using depth-resolved swept-source optical coherence tomography (SS-OCT) that provides full-thickness three-dimensional (3D) visualization of choroidal anatomy including topographical features of individual vessels. Enrolled subjects with different clinical manifestations within the pachychoroid disease spectrum underwent 15 mm × 9 mm volume scans centered on the fovea. A fully automated method segmented the choroidal vessels using their hyporeflective lumens. Binarized choroidal vessels were rendered in a 3D viewer as a vascular network within a choroidal slab. The network of choroidal vessels was color depth-encoded with a reference to the Bruch’s membrane segmentation. Topographical features of the choroidal vasculature were characterized and compared with choroidal imaging obtained with indocyanine green angiography (ICGA) from the same subject. The en face SS-OCT projections of the larger choroid vessels closely resembled to that obtained with ICGA, with the automated SS-OCT approach proving additional depth-encoded 3D information. In 16 eyes with pachychoroid disease, the SS-OCT approach added clinically relevant structural details, including choroidal thickness and vessel depth, which the ICGA studies could not provide. Our technique appears to advance the in vivo visualization of the full-thickness choroid, successfully reveals the topographical features of choroidal vasculature, and shows potential for further quantitative analysis when compared with other choroidal imaging techniques. This improved visualization of choroidal vasculature and its 3D structure should provide an insight into choroid-related disease mechanisms as well as their responses to treatment.

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Automated Segmentation of Infarct Lesions in T1-Weighted MRI Scans Using Variational Mode Decomposition and Deep Learning

Sensors ◽

10.3390/s21061952 ◽

2021 ◽

Vol 21 (6) ◽

pp. 1952

Author(s):

May Phu Paing ◽

Supan Tungjitkusolmun ◽

Toan Huy Bui ◽

Sarinporn Visitsattapongse ◽

Chuchart Pintavirooj

Keyword(s):

Deep Learning ◽

Brain Infarction ◽

Three Dimensional ◽

Dice Similarity Coefficient ◽

Automated Segmentation ◽

Variational Mode Decomposition ◽

Brain Scans ◽

Automated Method ◽

Mode Decomposition ◽

Segmentation Task

Automated segmentation methods are critical for early detection, prompt actions, and immediate treatments in reducing disability and death risks of brain infarction. This paper aims to develop a fully automated method to segment the infarct lesions from T1-weighted brain scans. As a key novelty, the proposed method combines variational mode decomposition and deep learning-based segmentation to take advantages of both methods and provide better results. There are three main technical contributions in this paper. First, variational mode decomposition is applied as a pre-processing to discriminate the infarct lesions from unwanted non-infarct tissues. Second, overlapped patches strategy is proposed to reduce the workload of the deep-learning-based segmentation task. Finally, a three-dimensional U-Net model is developed to perform patch-wise segmentation of infarct lesions. A total of 239 brain scans from a public dataset is utilized to develop and evaluate the proposed method. Empirical results reveal that the proposed automated segmentation can provide promising performances with an average dice similarity coefficient (DSC) of 0.6684, intersection over union (IoU) of 0.5022, and average symmetric surface distance (ASSD) of 0.3932, respectively.

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