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UTA studies deep learning to reduce radiation in cardiac CT angiography

UTA studies deep learning to reduce radiation in cardiac CT angiography. The University of Texas at Arlington’s three-year, $579,745 NIH project plans to combine deep learning and imaging physics to reconstruct multiphase coronary CT angiography at lower radiation doses.

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UTA studies deep learning to reduce radiation in cardiac CT angiography. The University of Texas at Arlington’s three-year, $579,745 NIH project plans to combine deep learning and imaging physics to reconstruct multiphase coronary CT angiography at lower radiation doses.

Researchers will first build a synthetic patient library, then assess diagnostic accuracy with computational modeling and a small human-observer study. Mayo Clinic is expected to provide patient data. No achieved dose reduction or patient-validated diagnostic performance has been reported.

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UTA studies deep learning to reduce radiation in cardiac CT angiography

UTA studies deep learning to reduce radiation in cardiac CT angiography. The University of Texas at Arlington’s three-year, $579,745 NIH project plans to combine deep learning and imaging physics to reconstruct multiphase coronary CT angiography at lower radiation doses.

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    UTA studies deep learning to reduce radiation in cardiac CT angiography

    UTA studies deep learning to reduce radiation in cardiac CT angiography. The University of Texas at Arlington’s three-year, $579,745 NIH project plans to combine deep learning and imaging physics to reconstruct multiphase coronary CT angiography at lower radiation doses.

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UTA studies deep learning to reduce radiation in cardiac CT angiography. The University of Texas at Arlington’s three-year, $579,745 NIH project plans to combine deep learning and imaging physics to reconstruct multiphase coronary CT angiography at lower radiation doses.

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579,745 USD
2026-10-15 · Observed
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Updated:

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