Comparison and combination of scaling index method and Minkowski functionals in the analysis of high resolution magnetic resonance images of the distal radius in vitro

Magnetic resonance imaging (MRI) has become established as an important imaging modality for the clinical management of disease. This is primarily due to the great tissue contrast inherent in magnetic resonance images of normal and diseased organs. Due to the wide availability of high field magnets and the ability to generate large and rapidly switched magnetic field gradients there is growing interest in applying high resolution MRI to obtain microscopic information. This symposium on MRI microscopy highlights new developments that are leading to increased resolution. The application of high resolution MRI to significant problems in developmental biology and cancer biology will illustrate the potential of these techniques.In combination with a growing interest in obtaining high resolution MRI there is also a growing interest in obtaining functional information from MRI. The great success of MRI in clinical applications is due to the inherent contrast obtained from different tissues leading to anatomical information.

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Adaptive filtering for high resolution magnetic resonance images

Journal of Magnetic Resonance Imaging ◽

10.1002/jmri.1880060218 ◽

1996 ◽

Vol 6 (2) ◽

pp. 367-377 ◽

Cited By ~ 3

Author(s):

Kui Ying ◽

Bradley D. Clymer ◽

Petra Schmalbrock

Keyword(s):

Magnetic Resonance ◽

High Resolution ◽

Adaptive Filtering ◽

Magnetic Resonance Images

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Visualization of USPIO-Labeled Melt-Electrowritten Scaffolds by Non-Invasive Magnetic Resonance Imaging

Biomaterials Science ◽

10.1039/d1bm00461a ◽

2021 ◽

Author(s):

Kilian Maria Arthur Mueller ◽

Geoffrey Topping ◽

Sebastian Patrick Schwaminger ◽

Younzhe Zou ◽

Diana Marcela Rojas-González ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Tissue Engineering ◽

Magnetic Resonance ◽

High Resolution ◽

Digital Fabrication ◽

Resonance Imaging ◽

Non Invasive ◽

Forming Technology

Melt electrowriting (MEW) is a high-resolution fiber-forming technology for the digital fabrication of complex micro-structured scaffolds for tissue engineering, which has convincingly shown its potential in in vitro and in...

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Evaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images

Diseases of the Colon & Rectum ◽

10.1097/dcr.0000000000001519 ◽

2020 ◽

Vol 63 (2) ◽

pp. 143-151

Author(s):

Dongsheng Wang ◽

Jihua Xu ◽

Zhengdong Zhang ◽

Shuai Li ◽

Xianxiang Zhang ◽

...

Keyword(s):

Neural Network ◽

Rectal Cancer ◽

Magnetic Resonance ◽

High Resolution ◽

Convolutional Neural Network ◽

Circumferential Resection Margin ◽

Resection Margin ◽

Magnetic Resonance Images

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Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method

Advances in Astronomy ◽

10.1155/2011/174873 ◽

2011 ◽

Vol 2011 ◽

pp. 1-21 ◽

Cited By ~ 5

Author(s):

G. Rossmanith ◽

H. Modest ◽

C. Räth ◽

A. J. Banday ◽

K. M. Górski ◽

...

Keyword(s):

Structural Characteristics ◽

Microwave Background ◽

Index Method ◽

Data Set ◽

Local Type ◽

Statistical Measures ◽

Wmap Data ◽

Statistical Isotropy ◽

Scaling Index ◽

Scaling Index Method

In the recent years, non-Gaussianity and statistical isotropy of the Cosmic Microwave Background (CMB) was investigated with various statistical measures, first and foremost by means of the measurements of the WMAP satellite. In this paper, we focus on the analyses that were accomplished with a measure of local type, the so-calledScaling Index Method(SIM). The SIM is able to detect structural characteristics of a given data set and has proven to be highly valuable in CMB analysis. It was used for comparing the data set with simulations as well as surrogates, which are full-sky maps generated by randomisation of previously selected features of the original map. During these investigations, strong evidence for non-Gaussianities as well as asymmetries and local features could be detected. In combination with the surrogates approach, the SIM detected the highest significances for non-Gaussianity to date.

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