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Assessment of soft-tissue sarcomas perfusion using data-driven techniques | IEEE Conference Publication | IEEE Xplore

Assessment of soft-tissue sarcomas perfusion using data-driven techniques


Abstract:

The present study aims 1. to automatically classify the heterogeneously perfused tumors using dynamic contrast-enhanced (DCE) MRI data from two patients diagnosed with ma...Show More

Abstract:

The present study aims 1. to automatically classify the heterogeneously perfused tumors using dynamic contrast-enhanced (DCE) MRI data from two patients diagnosed with malignant peripheral nerve sheath tumor (MPNST), 2. to compare the differences between the two cases, and 3. to detect the possible presence of hypoxia. A pattern recognition (PR) algorithm has been applied to the data resulting in the identification of areas with different perfusion. The algorithm was proven to be robust since the intensity curves of the PR classified pixels had similar shapes with the curves of the PR identified patterns and were in line with the theoretically expected enhancement patterns of the DCE time-signal curves.
Date of Conference: 04-07 March 2018
Date Added to IEEE Xplore: 09 April 2018
ISBN Information:
Conference Location: Las Vegas, NV, USA

References

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