US-based medical device company QT Imaging has launched version 4.4.0 of its image reconstruction software, significantly reducing QTscan image processing time.
The update, powered by NVIDIA’s L40 GPU using the Ada Lovelace architecture, aims to improve efficiency and throughput for radiologists.
The advancement supports quicker clinical decision-making by enabling faster image availability without compromising image fidelity or diagnostic accuracy.
The QTI Breast Acoustic CT scanner, cleared by the US FDA, offers non-invasive 3D breast imaging without compression, contrast, or harmful radiation.
Despite the processing speed improvements in the new software version, the quality of QTscan breast images remains on par with magnetic resonance imaging (MRI).
QTI CEO Raluca Dinu said: “This latest software release reflects direct input from radiologists and clinical partners, underscoring our commitment to continuous innovation based on real-world use.
“Faster image availability enables radiologists to review and interpret QTI scans more quickly, supporting earlier clinical decision-making.
“And accelerated processing reduces wait times for results, contributing to a smoother and more reassuring patient journey.”
The software update is designed for seamless integration into existing workflows at breast imaging centres, ensuring minimal downtime.
It also supports scalability for institutions expanding their QTI breast screening programmes, maintaining consistent performance across growing patient volumes.
QT Imaging continues to innovate by using proprietary machine learning algorithms to further reduce scanning time.
The version 4.4.0 software is optimised for systems with NVIDIA’s L40 GPUs and is backwards-compatible with earlier QTI hardware.
Also, it ensures broad accessibility through a scalable, software-driven architecture.
Earlier this year, Dutch medical technology company Philips, French-American surgical innovation company Moon Surgical, and US-based health technology company Hyperfine, have partnered with NVIDIA to advance AI capabilities.
