Development of attenuation correction methods using deep learning in brain‐perfusion single‐photon emission computed tomography

Purpose Computed tomography (CT)‐based attenuation correction (CTAC) in single‐photon emission computed tomography (SPECT) is highly accurate, but it requires hybrid SPECT/CT instruments and additional radiation exposure. To obtain attenuation correction (AC) without the need for additional CT images, a deep learning method was used to generate pseudo‐CT images has previously been reported, but it is limited because of cross‐modality...