January 1, 1989IEEE Transactions on Medical Imaging

Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing

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Population

Sequential 2-D echocardiograms (real data)

Authors

NFNoah S. FriedlandUniversity of Central Florida DAD. AdamTufts Medical Center

Discussion

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Implication

Should not yet change clinical practice; leaves open prospective validation of automated echocardiographic analysis.

Structured PICO

Population

Sequential 2-D echocardiograms (real data)

Intervention

Automatic algorithm using simulated annealing (SA) for cavity boundary detection

Outcome

Detection of ventricular cavity boundaries

An automatic algorithm using simulated annealing successfully detects ventricular cavity boundaries in 2-D echocardiograms by compounding spatial and temporal information.

Cite This Study

Friedland et al. (1989) studied this question.

synapsesocial.com/papers/6a0ff1e096ccf432805fda91 https://doi.org/10.1109/42.41487

Topics

Echocardiography

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Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Topics

Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing

Discussion

Member takes

Implication

Structured PICO

Cite This Study

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Topics

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