Literature DB >> 12051276

Tradeoffs in elastographic imaging.

T Varghese1, J Ophir, E Konofagou, F Kallel, R Righetti.   

Abstract

This paper presents the tradeoffs in elastographic imaging. Elastography is viewed as a new imaging modality and presented in terms of three fundamental concepts that constitute the basis for the elastographic imaging process. These are the tissue elastic deformation process, the statistical analysis of strain estimation and the image characterization. The first concept involves the use of the contrast transfer efficiency (CTE) that describes the mapping of a distribution of local tissue elastic moduli into a distribution of local longitudinal tissue strains. The second concept defines the elastographic system and the relationship between ultrasonic and signal processing parameters. This process is described in terms of a stochastic framework (the strain filter) that provides upper and practical performance bounds and their dependence on the various system parameters. Finally, the output image, the elastogram, is characterized by its image parameters, such as signal-to-noise ratio, contrast-to-noise ratio, dynamic range and resolution. Finite-element simulations are used to generate examples of elastograms that are confirmed by the theoretical prediction tools.

Mesh:

Year:  2001        PMID: 12051276     DOI: 10.1177/016173460102300402

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  34 in total

1.  Sonoelastography findings of biceps tendinitis and tendinosis.

Authors:  Joong-Bae Seo; Jae-Sung Yoo; Jee-Won Ryu
Journal:  J Ultrasound       Date:  2014-03-13

2.  The accuracy of sonoelastography in fatty degeneration of the supraspinatus: a comparison of magnetic resonance imaging and conventional ultrasonography.

Authors:  Joong-Bae Seo; Jae-Sung Yoo; Jee-Won Ryu
Journal:  J Ultrasound       Date:  2014-01-29

Review 3.  A review of carotid atherosclerosis and vascular cognitive decline: a new understanding of the keys to symptomology.

Authors:  Robert J Dempsey; Raghu Vemuganti; Tomy Varghese; Bruce P Hermann
Journal:  Neurosurgery       Date:  2010-08       Impact factor: 4.654

4.  Development of a training phantom for compression breast elastography-comparison of various elastography systems and numerical simulations.

Authors:  Kavitha Manickam; Machireddy Ramasubba Reddy; Suresh Seshadri; Bagyam Raghavan
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-17

5.  Estimation of displacement vectors and strain tensors in elastography using angular insonifications.

Authors:  U Techavipoo; Q Chen; T Varghese; J A Zagzebski
Journal:  IEEE Trans Med Imaging       Date:  2004-12       Impact factor: 10.048

6.  Improvements in elastographic contrast-to-noise ratio using spatial-angular compounding.

Authors:  Udomchai Techavipoo; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2005-04       Impact factor: 2.998

7.  Spatial angular compounding for elastography without the incompressibility assumption.

Authors:  Min Rao; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2005-10       Impact factor: 1.578

8.  Spatial-angular compounding for elastography using beam steering on linear array transducers.

Authors:  Min Rao; Quan Chen; Hairong Shi; Tomy Varghese
Journal:  Med Phys       Date:  2006-03       Impact factor: 4.071

9.  Improvement of elastographic displacement estimation using a two-step cross-correlation method.

Authors:  Hao Chen; Hairong Shi; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2007-01       Impact factor: 2.998

10.  Comparison of cardiac displacement and strain imaging using ultrasound radiofrequency and envelope signals.

Authors:  Chi Ma; Tomy Varghese
Journal:  Ultrasonics       Date:  2012-11-29       Impact factor: 2.890

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