Techniques for elastic imaging: a review

Parker, Kevin J.; Gao, Lan; Lerner, Robert M.; Levinson, Stephen F.

doi:10.1109/51.544512

Cited by 60 publications

(27 citation statements)

References 61 publications

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“…[8][9] Strain images that are not only consistent from frame to frame coarsely, but also preserve structural details reasonably well. 10 Strain images that consistently preserve structural details at a very fine level. …”

Section: -3mentioning

confidence: 99%

“…General steps in ultrasonic strain-image formation include deforming the imaged tissue using an external or internal stimulus, measuring tissue response under deformation, and estimating strain from relative tissue motion. Both the complexity and sophistication of ultrasonic strain-imaging systems have increased dramatically over the past 15 years, as summarized in several survey papers [6]- [10]. Alongside this development, there has been a progression in the understanding of strain image quality facilitating the development of predictive theories for the design and enhancement of ultrasonic strain-imaging systems.…”

Section: Introductionmentioning

confidence: 99%

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A novel performance descriptor for ultrasonic strain imaging: a preliminary study

Jiang

Hall

Sommer

2006

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Ultrasonic strain imaging that uses signals from conventional diagnostic ultrasound systems is capable of showing the contrast of tissue elasticity, which provides new diagnostically valuable information. To assess and improve the diagnostic performance of ultrasonic strain imaging, it is essential to have a quantitative measure of image quality. Moreover, it is useful if the image quality measure is simple to interpret and can be used for visual feedback while scanning and as a training tool for operator performance evaluation.This report describes the development of a novel quantitative method for systematic performance assessment that is based on the combination of measures of the accuracy of motion tracking and consistency among consecutive strain fields. The accuracy of motion tracking assesses the reliability of strain images. The consistency among consecutive strain images assesses the signal quality in strain images. The clinical implications of the proposed method to differentiate good or poor strain images are discussed. Results of experiments with tissue-mimicking phantoms and in vivo breasttissue data demonstrate that the performance measure is a useful method for automatically rating elasticity image quality.

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Section: -3mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel performance descriptor for ultrasonic strain imaging: a preliminary study

Jiang

Hall

Sommer

2006

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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“…For example, identifying elasticity abnormalities in soft tissue has high potential in early cancer detection [16], [50], [29], [54], [13]. Knowing elastic properties of deformable objects is also critical for physics-based studies such as motion tracking, realistic animation, visualization, and surgical planning [35], [63], [38], [53], [14] because the quality of elastic properties could have strong impact on the performance of physical models.…”

mentioning

confidence: 99%

A constrained genetic approach for computing material property of elastic objects

Zhang

Hall

Goldgof

et al. 2006

IEEE Trans. Evol. Computat.

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Abstract-This paper presents a constrained genetic approach for reconstructing the material properties of elastic objects. The considered reconstruction problem is ill-posed and must be constrained properly so that a unique and stable numerical solution can be obtained. Qualitative prior information is incorporated using a rank-based scheme to constrain the admissible solutions. Experiments show that the proposed approach is robust when presented with noisy data and can reconstruct the elastic property accurately and reliably. In a comparison study with the deterministic Gauss-Newton methods, the constrained genetic approach also shows very consistent performance.Index Terms-Constrained genetic algorithm (CGA), elastic property, finite-element model, inverse problem.

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“…Our approach gives priority to this point of view. Most of the deformation techniques encountered in the literature on active modelling [32][33][34][35] are sufficiently powerful to deal with predefined elastic constraints. There are many possibilities to obtain a deformation dynamic regulation based exclusively on the extraction procedures for the features and on the specific constraints for the external forces.…”

Section: Local Contour Deformationmentioning

confidence: 99%