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Temperature Dependent Deformation

Temperature Dependent Deformation

In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...

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Updated: Jan 2, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Extracting tissue deformation using Gabor filter banks.

Albert Montillo¹, Dimitris Metaxas², Leon Axel³

¹Univesecrsity of Pennsylvania, 3330 Walnut St, Levine Hall, Philadelphia, PA USA 19104.

Proceedings of Spie--The International Society for Optical Engineering

|December 12, 2019

Summary

This summary is machine-generated.

This study introduces an adaptive Gabor filter method for precise tissue deformation analysis in tagged MRI scans. The approach enhances accuracy, especially near tissue boundaries, improving displacement measurements.

Keywords:

Gabor filter bank filter adaptation filter interpolation tagged MRI tissue deformation extraction

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Last Updated: Jan 2, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

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Published on: August 30, 2013

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Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

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Published on: June 2, 2010

Area of Science:

Medical Imaging
Biomedical Engineering
Image Analysis

Background:

Tagged Magnetic Resonance (MR) imaging is crucial for assessing tissue deformation.
Accurate quantification of tissue motion is vital for understanding physiological processes and disease.
Existing methods struggle with accuracy near tissue boundaries.

Purpose of the Study:

To develop an adaptive Gabor filter-based approach for precise tissue deformation extraction from tagged MR images.
To improve the accuracy of displacement and deformation measurements, particularly in challenging regions like tissue boundaries.
To enhance the recovery of tag information for more detailed analysis.

Main Methods:

Utilizing banks of Gabor filters with adaptive parameters (envelope aspect/orientation, grating radial frequency/angle).
Implementing an adaptive filtering strategy to precisely extract deformation information.
Developing an interpolation technique for higher-resolution tag information recovery.

Main Results:

The method accurately extracts tag line spacing, orientation, displacement, and effective contrast.
Demonstrated improved performance in proximity to tissue boundaries compared to non-adaptive methods.
Successfully recovered deformation data at a finer resolution using interpolation.

Conclusions:

The proposed adaptive Gabor filter method offers a robust solution for accurate tissue deformation analysis in tagged MR imaging.
This technique significantly enhances the reliability of displacement measurements, especially near complex anatomical structures.
The findings have implications for improved diagnostic capabilities and research in cardiovascular and other soft tissue mechanics.