655a05f92810fa7999a2 · Noise-resilient deep tomographic imaging
Noise-resilient deep tomographic imaging
X-ray tomography is a non-destructive imaging technique that reveals the interior of an object from its projections at different angles. Under limited-angle and low-photon sampling, a regularization prior is required to retrieve a high-fidelity
{
"title_en": "Noise-resilient deep tomographic imaging",
"designation": "",
"series": "",
"status": "",
"date": "2023-04-24",
"date_original": "April 24, 2023",
"url": "https://www.nist.gov/publications/noise-resilient-deep-tomographic-imaging",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Zhen Guo, Zhiguang Liu, George Barbastathis, Qihang Zhang, Michael Glinsky, Bradley Alpert , Zachary H. Levine",
"abstract_excerpt_en": "X-ray tomography is a non-destructive imaging technique that reveals the interior of an object from its projections at different angles. Under limited-angle and low-photon sampling, a regularization prior is required to retrieve a high-fidelity",
"id": "655a05f92810fa7999a2",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Noise-resilient deep tomographic imaging",
"designation": "",
"series": "",
"status": "",
"date": "2023-04-24",
"date_original": "April 24, 2023",
"url": "https://www.nist.gov/publications/noise-resilient-deep-tomographic-imaging",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Zhen Guo, Zhiguang Liu, George Barbastathis, Qihang Zhang, Michael Glinsky, Bradley Alpert , Zachary H. Levine",
"abstract_excerpt_en": "X-ray tomography is a non-destructive imaging technique that reveals the interior of an object from its projections at different angles. Under limited-angle and low-photon sampling, a regularization prior is required to retrieve a high-fidelity"
}
],
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}