What question did this study set out to answer?

To develop and evaluate a radio frequency M-mode ultrasound signal processing technique for measuring microscopic tissue displacements and deformations with enhanced depth resolution.

January 1, 1982Ultrasonic Imaging

Ultrasonic Measurement of Small Displacements and Deformations of Tissue

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Authors

LWLaurence S. WilsonCSIRO Health and Biosecurity DRD.E. RobinsonUniversity of Connecticut

Discussion

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Implication

Methodological evaluation demonstrates high-resolution ultrasound tracking of minute tissue strain in human liver, suggesting new diagnostic applications for tissue characterization.

Key Points

To develop and evaluate a radio frequency M-mode ultrasound signal processing technique for measuring microscopic tissue displacements and deformations with enhanced depth resolution.
Applied a specialized signal processing algorithm to radio frequency M-mode ultrasound signals to track internal tissue motion.
Evaluated the technique in vivo by recording dynamic liver motion driven by aortic pulsations and vessel diameter variations.
Achieved high-resolution measurement capability for tissue displacements smaller than 0.1 mm.
Successfully captured and quantified dynamic tissue deformations of less than 1 percent.

Cite This Study

Wilson et al. (1982) studied this question.

synapsesocial.com/papers/6a0fa73dfa36b6e053fcd1c3 https://doi.org/10.1177/016173468200400105

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January 1, 1982Ultrasonic Imaging

Ultrasonic Measurement of Small Displacements and Deformations of Tissue

View Full Paper

Ask AI

Bookmark

Authors

LWLaurence S. WilsonCSIRO Health and Biosecurity DRD.E. RobinsonUniversity of Connecticut

Discussion

Member takes

Implication

Methodological evaluation demonstrates high-resolution ultrasound tracking of minute tissue strain in human liver, suggesting new diagnostic applications for tissue characterization.

Key Points

To develop and evaluate a radio frequency M-mode ultrasound signal processing technique for measuring microscopic tissue displacements and deformations with enhanced depth resolution.
Applied a specialized signal processing algorithm to radio frequency M-mode ultrasound signals to track internal tissue motion.
Evaluated the technique in vivo by recording dynamic liver motion driven by aortic pulsations and vessel diameter variations.
Achieved high-resolution measurement capability for tissue displacements smaller than 0.1 mm.
Successfully captured and quantified dynamic tissue deformations of less than 1 percent.

Cite This Study

Wilson et al. (1982) studied this question.

synapsesocial.com/papers/6a0fa73dfa36b6e053fcd1c3 https://doi.org/10.1177/016173468200400105

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