From the November 2021 issue of HealthCare Business News magazine
Li and his colleagues used the technique to fuse MR, CT and SPECT images to build an image training database. The database was then used to fuse medical images in batches, with the newly fused images appearing more natural and with sharper edges and higher resolutions. Additionally, detailed information and features of interest were better preserved to some extent, while key information was clearly contrasted and the virtual shadow was effectively removed.
The end result, according to the researchers, is a single image that contains most of the information in the two multi-modal images of CT and MR or MR and SPECT, thereby making up for the deficiencies of each of these images alone.
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iCAD and Sectra partner on distribution for ProFound AI
The Sectra Amplifier Marketplace is supplying iCAD’s ProFound AI and ProFound AI Risk platforms as part of a June distribution agreement between the two imaging providers, worldwide.
“With iCAD’s tools deeply embedded in the Sectra diagnostic workspace, we provide our radiologists with enhanced diagnostic confidence for breast imaging reading,” said Nynke Breimer, global product manager of AI Radiology at Sectra.
The Sectra Amplifier Marketplace was created to allow providers to have easier access to and usage of AI applications for medical imaging.
ProFound AI and ProFound AI Risk are deep learning based and expected to enable more accurate and personalized breast cancer screenings. Trained to detect malignant soft tissue densities and calcifications, ProFound AI for Digital Breast Tomosynthesis scored FDA clearance in December 2018 and became the first 3D tomosynthesis software with AI to do so. It is also available for 2D mammography.
ProFound AI Version 3.0 for Digital Breast Tomosynthesis was cleared in March 2021, and offers up to a 10% improvement in specificity and up to 1% faster processing on the new PowerLook platform. It was developed using over five million images from 30,000 cases, including almost 8,000 biopsy-proven cancers.
ProFound AI Risk can provide a highly accurate short-term risk estimation specific to each woman by combining information from mammographic images with factors such as age and breast density.
Clinicians hesitant to use AI, even in cases where algorithms are validated and reliable
Even when radiation treatments devised by AI machine learning algorithms are deemed more effective than those created by humans, clinicians are hesitant to implement them in clinical scenarios.
