Ultra high speed SPECT bone imaging enabled by a deep learning enhancement method: a proof of concept.
Boyang PanNa QiQingyuan MengJiachen WangSiyue PengChengxiao QiNan-Jie GongJun ZhaoPublished in: EJNMMI physics (2022)
Our proposed method can yield significant image quality improvement in the noise level, details of anatomical structure and SUV accuracy, which enabled applications of ultra fast SPECT bone imaging in real clinic settings.
Keyphrases
- high resolution
- high speed
- deep learning
- quality improvement
- bone mineral density
- atomic force microscopy
- pet ct
- primary care
- soft tissue
- machine learning
- bone regeneration
- artificial intelligence
- convolutional neural network
- mass spectrometry
- patient safety
- postmenopausal women
- body composition
- photodynamic therapy
- single molecule