What is the clinical evidence from this study?

Study design: Other. Population: Echocardiography speckle. Intervention: Biased motion-adaptive temporal filtering.

What does this research mean for the field?

Biased motion-adaptive temporal filtering reduces speckle noise while preserving edges and avoiding motion blur in echocardiographic image sequences. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

January 1, 1996IEEE Transactions on Medical ImagingOpen Access

Biased motion-adaptive temporal filtering reduces speckle and preserves edges in echocardiography.

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Population

Simulated, phantom, and in vivo test sequences

Comparison

Biased two-dimensional least mean squares filter vs Other filtering techniques

Design

Other

Key result

Biased motion-adaptive temporal filtering was proposed for speckle reduction in echocardiography.

Authors

AEA.N. Evans MNMark Nixon

Discussion

Member takes

Overview

May aid automated echocardiographic analysis; leaves open prospective clinical validation before practice adoption.

Structured PICO

Population

Simulated, phantom, and in vivo test sequences (carotid artery, echocardiographic images of mitral valve and left atrium)

Intervention

Biased two-dimensional least mean squares (TDLMS) filter (motion-adaptive spatio-temporal filtering technique)

Comparator

Other filtering techniques

Outcome

Noise reduction and edge preservationsurrogate

The Biased TDLMS filter improves speckle reduction and edge preservation in echocardiographic images, facilitating better automated image interpretation.

Cite This Study

Evans et al. (1996) studied Echocardiography speckle. Biased motion-adaptive temporal filtering was evaluated. Biased motion-adaptive temporal filtering was proposed for speckle reduction in echocardiography.

synapsesocial.com/papers/6aa6fab4834face64f9502e5 https://doi.org/10.1109/42.481439

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January 1, 1996IEEE Transactions on Medical ImagingOpen Access

Biased motion-adaptive temporal filtering reduces speckle and preserves edges in echocardiography.

View Full Paper

Ask AI

Bookmark

Population

Simulated, phantom, and in vivo test sequences

Comparison

Biased two-dimensional least mean squares filter vs Other filtering techniques

Design

Other

Key result

Biased motion-adaptive temporal filtering was proposed for speckle reduction in echocardiography.

Authors

AEA.N. Evans MNMark Nixon

Discussion

Member takes

Overview

May aid automated echocardiographic analysis; leaves open prospective clinical validation before practice adoption.

Structured PICO

Population

Simulated, phantom, and in vivo test sequences (carotid artery, echocardiographic images of mitral valve and left atrium)

Intervention

Biased two-dimensional least mean squares (TDLMS) filter (motion-adaptive spatio-temporal filtering technique)

Comparator

Other filtering techniques

Outcome

Noise reduction and edge preservationsurrogate

The Biased TDLMS filter improves speckle reduction and edge preservation in echocardiographic images, facilitating better automated image interpretation.

Cite This Study

synapsesocial.com/papers/6aa6fab4834face64f9502e5 https://doi.org/10.1109/42.481439

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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