Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 05, 2019 - June 08, 2019
Among the cardiac SPECT examination, in the examination using the 99m-Tc formulation as the radiopharmaceutical tends to accumulate many radiopharmaceuticals in the organs other than the cardiac. As the result, artifacts are generated from organs other than the cardiac during image reconstruction. Artifacts can cause troubles in diagnosis and it needs to be removed, but it takes time and effort. In this study, we believe that if we use Deep Learning to remove non-cardiac accumulation will help eliminate artifacts. Detect the cardiac area by using Semantic Segmentation and construct an auxiliary system for removing artifacts.
