Abstract
Investigators publish new report on artificial intelligence. According to news reporting from Riyadh, Saudi Arabia, by NewsRx journalists, research stated, "Previously, we introduced photomagnetic imaging (PMI) that synergistically utilizes laser light to slightly elevate the tissue temperature and magnetic resonance thermometry (MRT) to measure the induced temperature." Funders for this research include Nih Grants; Uci Cancer Center. Our news reporters obtained a quote from the research from Imam Mohammad Ibn Saud Islamic University: "The MRT temperature maps are then converted into absorption maps using a dedicated PMI image reconstruction algorithm. In the MRT maps, the presence of abnormalities such as tumors would create a notable high contrast due to their higher hemoglobin levels. In this study, we present a new artificial intelligence-based image reconstruction algorithm that improves the accuracy and spatial resolution of the recovered absorption maps while reducing the recovery time. Technically, a supervised machine learning approach was used to detect and delineate the boundary of tumors directly from the MRT maps based on their temperature contrast to the background. This information was further utilized as a soft functional a priori in the standard PMI algorithm to enhance the absorption recovery."
NETL
NSTL
Mdpi