Adaptive strain estimation using retrospective processing [medical US elasticity imaging]

Lubinski, M.A.; Emelianov, Stanislav; O’Donnell, Matthew

doi:10.1109/58.741428

Cited by 68 publications

(52 citation statements)

References 26 publications

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“…As SEI requires tissue to be deformed during imaging, it is consistent with venous duplex US which also requires compression. The degree of compression required for standard strain measurements on SEI is lesser than compression US that is beneficial for patients with swollen painful legs (26)(27)(28). Thus, even if evaluation of clot age does not work, just the use of SEI to detect thrombi may be an improvement over the present compression US technique.…”

Section: Sonographic Elasticity Imaging (Sei)mentioning

confidence: 97%

Advanced imaging in acute and chronic deep vein thrombosis

Karande

Hedgire

Sánchez

et al. 2016

Cardiovasc. Diagn. Ther.

102

107

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Section: Sonographic Elasticity Imaging (Sei)mentioning

confidence: 97%

Advanced imaging in acute and chronic deep vein thrombosis

Karande

Hedgire

Sánchez

et al. 2016

Cardiovasc. Diagn. Ther.

102

107

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“…[6][7][8][9][10][11][12][13][14] These methods offer the potential to quantify this qualitative observation of lesion stiffness and provide a more sensitive and specific means of differentiating lesions. They may also allow stiffness measurements of lesions that are not externally palpable because of the size or location in the body.…”

mentioning

confidence: 99%

Evaluation of Breast Lesions Using Sonographic Elasticity Imaging

Barr

Destounis²,

Lackey

et al. 2012

J of Ultrasound Medicine

149

125

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Objectives The purpose of this study was to determine the sensitivity and specificity of real‐time compression elasticity imaging in characterizing breast lesions as benign or malignant. Methods A cohort of 578 women scheduled for sonographically guided biopsy of breast lesions were recruited from 6 sites under an Institutional Review Board–approved protocol. All participants received an elastogram, which displayed both the B‐mode and elasticity images in real time. The longest dimensions of the lesion on the B‐mode and elasticity imaging were measured. An elasticity imaging/B‐mode ratio of at least 1.0 was considered positive for malignant lesions. The reference standard was based on biopsy. Results A total of 635 lesions were imaged and biopsied. There were 222 (35%) malignant or borderline lesions and 413 (65%) benign lesions. The benign lesions were either cystic (145 [35%]) or solid (268 [65%]). Of the 222 malignant lesions, 219 had an elasticity imaging/B‐mode ratio of at least 1.0. Of the 413 benign lesions, 361 had an elasticity imaging/B‐mode ratio less than 1.0. These results corresponded to overall sensitivity of 98.6% and overall specificity of 87.4%. Individual site sensitivities ranged from 96.7% to 100% whereas specificities ranged from 66.7% to 95.4%. Conclusions Elasticity imaging has high sensitivity in characterizing malignant lesions of the breast. Variability in specificity between sites and sonographers is possibly due to individual technique differences in performing elastography and measuring lesions. Further work in standardizing the technique is required.

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“…6(a). Adaptively selecting the RF frame pairs in postprocessing [45], [48] to obtain nominally 1-1.5% absolute frame-average strain significantly improves the quality of a sequence of strain images, as demonstrated in Fig. 6(b).…”

Section: Resultsmentioning

confidence: 98%

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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Adaptive strain estimation using retrospective processing [medical US elasticity imaging]

Cited by 68 publications

References 26 publications

Advanced imaging in acute and chronic deep vein thrombosis

Advanced imaging in acute and chronic deep vein thrombosis

Evaluation of Breast Lesions Using Sonographic Elasticity Imaging

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

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