News | Breast Imaging | April 02, 2026

New generation reconstruction software improves image quality and performance across challenging breast imaging cases.

breast imaging, reconstruction, software update

April 1, 2026 — QT Imaging Holdings has announced the release of its latest image reconstruction software update release, version 4.5.0. This next-generation software improves spatial resolution in reflection imaging by implementing optimized, spatially varying deconvolution during reflection image reconstruction, resulting in more accurate image representation while maintaining efficient processing times.

Version 4.5.0 also introduces enhanced reflection images generated through the fusion of speed of sound and reflection data, providing clinicians and researchers with improved visualization and more comprehensive tissue characterization information. These enhancements are designed to improve image interpretation and support comprehensive and reproducible analysis across a wide range of cases.

"The enhanced reflection images represent a meaningful improvement in image quality and usability. Combining reflection with speed of sound information provides additional insight that was not previously available from reflection imaging alone," said Dr. John Tentinger, President and Chief Executive Officer at Innovative Radiology, a radiology center in West Des Moines, Iowa, and a QT Imaging customer.

In addition, the 4.5.0 release includes improved image reconstruction for small breasts and the implementation of more accurate assessment of fibroglandular tissue composition in breasts with implants, addressing important clinical scenarios and expanding the software’s usability across a broader range of patient anatomies.

“Building on our multimodal imaging approach, we are advancing the development of attenuation as an additional quantitative biomarker, to complement speed of sound and reflection intensity. The integration of attenuation is expected to further enhance tissue characterization capabilities and provide clinicians and researchers with additional quantitative information for improved analysis and decision support," said Dr. James Wiskin, QT Imaging Fellow.

These advancements reflect QT Imaging’s continued focus on improving image quality, clinical reliability, and workflow efficiency, and represent another important step in the company’s ongoing development of advanced imaging software solutions.

Please visit the company’s website at www.qtimaging.com for additional information.


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