Post-Processing Strategies for the ECMWF Model

Background: Freehand quasistatic strain imaging can reveal qualitative information about tissue stiffness with good spatial accuracy. Clinical trials, however, repeatedly cite instability and variable signal-to-noise ratio as significant drawbacks. Methods: This study investigates three post-processing strategies for quasistatic strain imaging. Normalization divides the strain by an estimate of the stress field, the intention being to reduce sensitivity to variable applied stress. Persistence aims to improve the signal-to-noise ratio by time-averaging multiple frames. The persistence scheme presented in this article operates at the pixel level, weighting each frame's contribution by an estimate of the strain precision. Precision-based display presents the clinician with an image in which regions of indeterminate strain are obscured behind a colour wash. This is achieved using estimates of strain precision that are faithfully propagated through the various stages of signal processing. Results and discussion: The post-processing strategy is evaluated qualitatively on scans of a breast biopsy phantom and in vivo head and neck examinations. Strain images processed in this manner are observed to benefit from improved stability and signal-to-noise ratio. There are, however, limitations. In unusual though conceivable circumstances, the normalization procedure might suppress genuine stiffness variations evident in the unprocessed strain images. In different circumstances, the raw strain images might fail to capture significant stiffness variations, a situation that no amount of post-processing can improve. Conclusion: The clinical utility of freehand quasistatic strain imaging can be improved by normalization, precision-weighted pixel-level persistence and precision-based display. The resulting images are stable and generally exhibit a better signal-to-noise ratio than any of the original, unprocessed strain images.

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Post-processing strategies in image scanning microscopy

Methods ◽

10.1016/j.ymeth.2015.05.002 ◽

2015 ◽

Vol 88 ◽

pp. 28-36 ◽

Cited By ~ 9

Author(s):

J.E. McGregor ◽

C.A. Mitchell ◽

N.A. Hartell

Keyword(s):

Scanning Microscopy ◽

Post Processing ◽

Image Scanning ◽

Processing Strategies

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On the Influence of Laser Cladding and Post-processing Strategies on Residual Stresses in Steel Specimens

Physics Procedia ◽

10.1016/j.phpro.2014.08.169 ◽

2014 ◽

Vol 56 ◽

pp. 250-261 ◽

Cited By ~ 8

Author(s):

H. Köhler ◽

R. Rajput ◽

P. Khazan ◽

J. Rebelo Kornmeier

Keyword(s):

Residual Stresses ◽

Laser Cladding ◽

Post Processing ◽

Processing Strategies

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Simple Pre and Post Processing Strategies for Patent Searching in CLEF Intellectual Property Track 2009

Lecture Notes in Computer Science - Multilingual Information Access Evaluation I. Text Retrieval Experiments ◽

10.1007/978-3-642-15754-7_53 ◽

2010 ◽

pp. 444-451 ◽

Cited By ~ 4

Author(s):

Julien Gobeill ◽

Emilie Pasche ◽

Douglas Teodoro ◽

Patrick Ruch

Keyword(s):

Intellectual Property ◽

Post Processing ◽

Processing Strategies ◽

Patent Searching

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MATLAB tools for the post-processing of GRACE temporal gravity field solutions

10.5194/egusphere-egu2020-2479 ◽

2020 ◽

Author(s):

Dimitrios Piretzidis ◽

Michael Sideris

Keyword(s):

Gravity Field ◽

Land Surface ◽

Optimal Strategies ◽

Post Processing ◽

Satellite Mission ◽

Surface Mass ◽

Isostatic Adjustment ◽

Processing Strategies ◽

Grace Data ◽

Temporal Gravity

We present a collection of MATLAB tools for the post-processing of temporal gravity field solutions from the Gravity Recovery and Climate Experiment (GRACE) satellite mission. GRACE final products are in the form of monthly sets of spherical harmonic coefficients and have been extensively used by the scientific community to study the land surface mass redistribution that is predominantly due to ice melting, glacial isostatic adjustment, seismic activity and hydrological phenomena. Since the launch of GRACE satellites, a substantial effort has been made to develop processing strategies and improve the surface mass change estimates.The MATAB software presented in this work is developed and used by the Gravity and Earth Observation group at the department of Geomatics Engineering, University of Calgary. A variety of techniques and tools for the processing of GRACE data are implemented, tested and analyzed. Some of the software capabilities are: filtering of GRACE data using decorrelation and smoothing techniques, conversion of gravity changes into mass changes on the Earth&#8217;s spherical, ellipsoidal and topographical surface, implementation of forward modeling techniques for the estimation and removal of long-term trends due to ice mass melting, basin-specific spatial averaging in the spatial and spectral domain, time series smoothing and decomposition techniques, and data visualization.All tools use different levels of parameterization in order to assist both expert users and non-specialists. Such a software makes the comparison between different GRACE processing methods and parameters used easier, leading to optimal strategies for the estimation of surface mass changes and to the standardization of GRACE data post-processing. It could also facilitate the use of GRACE data to non-geodesists.

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