QT Imaging Holdings Com
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$48.65M
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QT Imaging Holdings, Inc. is a medical device company, which engages in the research, development, and commercialization of body imaging systems using low energy sound. The company is headquartered in Novato, California and currently employs 32 full-time employees. The company went IPO on 2021-09-24. The firm's products include QTI Breast Acoustic CT Scanner and QTviewer Software. QTI’s Breast Acoustic CT scanner with QTViewer viewer software is the only three-dimensional (3D) imaging device to receive United States Food and Drug Administration (FDA) clearance for use as a transmission and reflection ultrasonic imaging system of a patients breast. QTviewer is its proprietary image viewing and analysis platform, purpose-built to interpret the rich, quantitative datasets generated by the QTI Breast Acoustic CT™ scanner. The QTviewer allows users to rotate, zoom, and cross-navigate entire breast volumes. Whether isolating lesions or exploring architectural distortion, radiologists can interact with the data dynamically to gain an understanding of tissue structure and lesion morphology.
QT Imaging Holdings, Inc. is a medical device company, which engages in the research, development, and commercialization of body imaging systems using low energy sound. The company is headquartered in Novato, California and currently employs 32 full-time employees. The company went IPO on 2021-09-24. The firm's products include QTI Breast Acoustic CT Scanner and QTviewer Software. QTI’s Breast Acoustic CT scanner with QTViewer viewer software is the only three-dimensional (3D) imaging device to receive United States Food and Drug Administration (FDA) clearance for use as a transmission and reflection ultrasonic imaging system of a patients breast. QTviewer is its proprietary image viewing and analysis platform, purpose-built to interpret the rich, quantitative datasets generated by the QTI Breast Acoustic CT™ scanner. The QTviewer allows users to rotate, zoom, and cross-navigate entire breast volumes. Whether isolating lesions or exploring architectural distortion, radiologists can interact with the data dynamically to gain an understanding of tissue structure and lesion morphology.
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