A low contrast-spatial resolution phantom for MR imaging using surface coils

1994 ◽  
Vol 10 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Takashi Sakurai
Keyword(s):  
Mr Imaging ◽  
Spatial Resolution ◽  
Low Contrast ◽  
Surface Coils

Local Differences in the Trabecular Bone Structure of the Proximal Femur Depicted with High-Spatial-Resolution MR Imaging and Multisection CT

2002 ◽  
Vol 9 (12) ◽  
pp. 1395-1406 ◽  
Author(s):  
Ahi Sema Issever ◽  
Volker Vieth ◽  
Albrecht Lotter ◽  
Norbert Meier ◽  
Andres Laib ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Trabecular Bone ◽  
Spatial Resolution ◽  
Proximal Femur ◽  
High Spatial Resolution ◽  
Bone Structure ◽  
Trabecular Bone Structure

scholarly journals Objective comparison of high-contrast spatial resolution and low-contrast detectability for various clinical protocols on multiple CT scanners

2017 ◽  
Vol 44 (9) ◽  
pp. e153-e163 ◽  
Author(s):  
Damien Racine ◽  
Anaïs Viry ◽  
Fabio Becce ◽  
Sabine Schmidt ◽  
Alexandre Ba ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
High Contrast ◽  
Clinical Protocols ◽  
Low Contrast ◽  
Ct Scanners

scholarly journals Use of multi-spectral visible and near-infrared satellite data for timely estimates of the Earth's surface reflectance in cloudy conditions: Part 2 - image restoration with HICO satellite data in overcast conditions

2021 ◽  
Author(s):  
Joanna Joiner ◽  
Zachary Fasnacht ◽  
Bo-Cai Gao ◽  
Wenhan Qin
Keyword(s):  
Spatial Resolution ◽  
Satellite Data ◽  
Precision Agriculture ◽  
Land Surface ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Space Station ◽  
Water Quality Assessment ◽  
Low Contrast

Satellite-based visible and near-infrared imaging of the Earth's surface is generally not performed in moderate to highly cloudy conditions; images that look visibly cloud covered to the human eye are typically discarded. Here, we expand upon previous work that employed machine learning (ML) to estimate underlying land surface reflectances at red, green, and blue (RGB) wavelengths in cloud contaminated spectra using a low spatial resolution satellite spectrometer. Specifically, we apply the ML methodology to a case study at much higher spatial resolution with the Hyperspectral Imager for the Coastal Ocean (HICO) that flew on the International Space Station (ISS). HICO spatial sampling is of the order of 90 m. The purpose of our case study is to test whether high spatial resolution features can be captured using multi-spectral imaging in lightly cloudy and overcast conditions. We selected one clear and one cloudy image over a portion ofthe panhandle coastline of Florida to demonstrate that land features are partially recoverable in overcast conditions. Many high contrast features are well recovered in the presence of optically thin clouds. However, some of the low contrast features, such as narrow roads, are smeared out in the heavily clouded part of the reconstructed image. This case study demonstrates that our approach may be useful for many science and applications that are being developed for current and upcoming satellite missions including precision agriculture and natural vegetation analysis, water quality assessment as well as disturbance, change, hazard, and disaster detection.

Evaluation of Rat Heart Microvasculature with High-Spatial-Resolution Susceptibility-weighted MR Imaging

Radiology ◽  
2013 ◽  
Vol 269 (1) ◽  
pp. 277-282 ◽  
Author(s):  
Eléonore Blondiaux ◽  
Laetitia Pidial ◽  
José Vilar ◽  
Gwennhael Autret ◽  
Daniel Balvay ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Spatial Resolution ◽  
Rat Heart ◽  
High Spatial Resolution
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