| Literature DB >> 34079744 |
Zhibiao Cheng1, Junhai Wen1, Gang Huang2, Jianhua Yan2.
Abstract
Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging have focused on the diagnosis, treatment monitoring, and correlation analyses with pathology or specific gene mutation. It can also be used for image generation to shorten the time of image acquisition, reduce the dose of injected tracer, and enhance image quality. This work provides an overview of the application of AI in image generation for single-photon emission computed tomography (SPECT) and positron emission tomography (PET) either without or with anatomical information [CT or magnetic resonance imaging (MRI)]. This review focused on four aspects, including imaging physics, image reconstruction, image postprocessing, and internal dosimetry. AI application in generating attenuation map, estimating scatter events, boosting image quality, and predicting internal dose map is summarized and discussed. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.Keywords: Nuclear medicine imaging; artificial intelligence (AI); image postprocessing; image reconstruction; imaging physics; internal dosimetry
Year: 2021 PMID: 34079744 PMCID: PMC8107336 DOI: 10.21037/qims-20-1078
Source DB: PubMed Journal: Quant Imaging Med Surg ISSN: 2223-4306