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Coronary artery disease diagnosis improved by deep learning analysis of SPECT MPI
2019/07/12

According to the centers for disease control and prevention, coronary artery disease is the most common type of heart disease, killing more than 370,000 people in the United States annually. SPECT MPI, which is widely used for its diagnosis, shows how well the heart muscle is pumping and examines blood flow through the heart during exercise and at rest. On new cameras with a patient shown in sitting position, two positions (semi-upright and supine) are routinely used to mitigate attenuation artifacts. The current quantitative standard for analyzing MPI data is to calculate the combined total perfusion deficit (TPD) from these 2 positions.

To read more pleasevisit:

http://www.snmmi.org/NewsPublications/NewsDetail.aspx?ItemNumber=31585

Source: The Society of Nuclear Medicine and Molecular Imaging