An Unconventional CT Post-Processing Software to Analyze a Difficult Intracranial Bullet’s Ballistic

Based on the MIRON UCP800 rotary and tilting table five-axis machine, this paper studies the mathematical model of Five-Axis machining and derives the algorithm formula of Six-Coordinate axis vector into five-axis AC rotary and tilting table. The Post-Processing process of turning the source file to the machine tool path code is fulfilled by using coordinate transformation matrix; with reading the cutting location file line by line, a dedicated five-axis milling post-processing software through adapting the Keyword-Triggered method is developed by using object-oriented program in the paper. First completing construction of Five-Axis machine tools mode in the VERICUT simulation environment, then manufacturing the whole shaft by ternary simulation of impeller machining in NX, and the simulation results shows that the function of Post-Processing software Star-Fpost. The software can provide the actual processing of information for MIKRON UCP800 five-axis machine tools.

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Modified GPS/Pseudolite Navigation Message

Journal of Navigation ◽

10.1017/s0373463312000124 ◽

2012 ◽

Vol 65 (4) ◽

pp. 711-716 ◽

Cited By ~ 8

Author(s):

Jacek Rapinski ◽

Slawomir Cellmer ◽

Zofia Rzepecka

Keyword(s):

Data File ◽

Post Processing ◽

Navigation Data ◽

Navigation Message ◽

Processing Software

One of the issues regarding integrated GPS/pseudolite measurements is how to deliver a pseudolite's position to a receiver or to post-processing software and how to manage it. This paper presents a proposed solution to this problem. The standard navigation message is modified in such way that without changing receivers (or post-processing software), the calculated position of a transmitter is fixed at a pseudolite's known position. The formulae for modification of standard Ephemeris Data are also derived. This algorithm can be implemented in a transmitter's firmware or a navigation data file can be modified for post-processing.

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Subtraction computed tomography imaging to detect endoleaks after endovascular aneurysm sealing with sac anchoring

Vascular ◽

10.1177/1708538117746041 ◽

2017 ◽

Vol 26 (4) ◽

pp. 393-399

Author(s):

Cornelis G Vos ◽

Ruben van Veen ◽

Richte CL Schuurmann ◽

Johannes T Boersen ◽

Daniel AF van den Heuvel ◽

...

Keyword(s):

Computed Tomography ◽

Root Mean Square Error ◽

Mean Square Error ◽

Root Mean Square ◽

Arterial Phase ◽

Mean Square ◽

Post Processing ◽

Computed Tomography Imaging ◽

Tomography Imaging ◽

Processing Software

Background Early detection of small type I endoleaks after endovascular aneurysm sealing is mandatory because they can rapidly progress and lead to severe complications. Recognition of endoleaks can be challenging due to the appearances on computed tomography unique to endovascular aneurysm sealing. We aimed to validate the accuracy and added value of subtraction computed tomography imaging using a post-processing software algorithm to improve detection of endovascular aneurysm sealing-associated endoleaks on postoperative surveillance imaging. Methods The computed tomography scans of 17 patients (16 males; median age: 78, range: 72–84) who underwent a post-endovascular aneurysm sealing computed tomography including both non-contrast and arterial phase series were used to validate the post processing software algorithm. Subtraction images are produced after segmentation and alignment. Initial alignment of the stent segmentations is automatically performed by registering the geometric centers of the 3D coordinates of both computed tomography series. Accurate alignment is then performed by translation with an iterative closest point algorithm. Accuracy of alignment was determined by calculating the root mean square error between matched 3D coordinates of stent segmentations. Results The median root mean square error after initial center of gravity alignment was 0.62 mm (IQR: 0.55–0.80 mm), which improved to 0.53 mm (IQR: 0.47–0.69 mm) after the ICP alignment. Visual inspection showed good alignment and no manual adjustment was necessary. Conclusions The possible merit of subtraction computed tomography imaging for the detection of small endoleaks during surveillance after endovascular aneurysm sealing was illustrated. Alignment of different computed tomography phases using a software algorithm was very accurate. Further studies are needed to establish the exact role of this technique during surveillance after endovascular aneurysm sealing compared to less invasive techniques like contrast-enhanced ultrasound.

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Integration of accelerated MRI and post-processing software: a fast, accurate, and precise method for studies of knee osteoarthritis

Osteoarthritis and Cartilage ◽

10.1016/j.joca.2016.01.568 ◽

2016 ◽

Vol 24 ◽

pp. S317

Author(s):

J. Duryea ◽

C.-C. Cheng ◽

L. Schaefer ◽

S. Smith ◽

B. Madore

Keyword(s):

Knee Osteoarthritis ◽

Post Processing ◽

Precise Method ◽

Accelerated Mri ◽

Processing Software

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Kite - bridging InSAR displacement analysis and earthquake modelling: the 2019 Ridgecrest earthquakes

10.5194/egusphere-egu2020-8164 ◽

2020 ◽

Author(s):

Marius Paul Isken ◽

Henriette Sudhaus ◽

Sebastian Heimann ◽

Hannes Vasyura-Bathke ◽

Andreas Steinberg ◽

...

Keyword(s):

Time Series Data ◽

Surface Displacement ◽

Series Data ◽

Software Framework ◽

Post Processing ◽

Earthquake Parameters ◽

Online Processing ◽

Earthquake Modelling ◽

Processing Software ◽

Data Adaptive

We present a modular open-source software framework - Kite (http://pyrocko.org) - for rapid post-processing of spaceborne InSAR-derived surface displacement maps. The software enables swift parametrisation, post-processing and sub-sampling of the displacement measurements that are compatible with common InSAR processors (e.g. SNAP, GAMMA, ISCE, etc.) and online processing centers delivering unrwapped InSAR data products, such as NASA ARIA or LiCSAR. The post-processing capabilities include removal of first-order atmospheric phase delays through elevation correlation estimations and regional atmospheric phase screen (APS) estimations based on atmospheric models (GACOS), masking of displacement data, adaptive data sub-sampling using quadtree decomposition and data error covariance estimation.Kite datasets integrate into forward modelling and optimisation frameworks Grond (Heiman et al., 2019) and BEAT (Vasyura-Bathke et al., 2019), both software packages aim to ease and streamline the joint optimisation of earthquake parameters from InSAR and GPS data together with seismological waveforms. These data combinations will improve the estimation of earthquake rupture parameters. Establishing this data processing software framework we want to bridge the gap between InSAR processing software and seismological modelling frameworks, to contribute to a timely and better understanding of earthquake kinematics. This approach paves the way to automated inversion of earthquake models incorporating space-borne InSAR data.Under development is the processing of InSAR displacement time series data to link simultaneous modelling of co- and post-seismic transient deformation processes from InSAR observations to physical earthquake cycle models.We demonstrate the framework&#8217;s capabilities with an analysis of the 2019 Ridgecrest earthquakes from InSAR surface displacements (provided by NASA ARIA) combined with GNSS displacements using the Bayesian bootstrapping strategy from the Grond inverse modelling tool.

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Advanced Methods and Tools for Reconstruction and Analysis of Grain Boundaries from 3D-EBSD Data Sets

Materials Science Forum ◽

10.4028/www.scientific.net/msf.702-703.475 ◽

2011 ◽

Vol 702-703 ◽

pp. 475-478 ◽

Cited By ~ 6

Author(s):

P.J. Konijnenberg ◽

S. Zaefferer ◽

S. B. Lee ◽

A.D. Rollett ◽

G.S. Rohrer ◽

...

Keyword(s):

Grain Boundaries ◽

Data Sets ◽

Proof Of Concept ◽

Triangle Mesh ◽

Post Processing ◽

Orientation Data ◽

Ebsd Data ◽

Orientational Distribution ◽

Processing Software

We report the recent development of a 3D orientation data post-processing software, which we refer to as QUBE. Amongst other functionalities, it offers the possibility to specify the spatial and orientational distribution of boundary normals. We describe a method to reconstruct a voxel-accurate and smooth 3D boundary triangle mesh by algorithmic means. A proof of concept is given by a benchmark on a generic dataset and we demonstrate a first result with the description of selected grain boundaries in an Fe-28%Ni sample.

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