We.P33.B-30
FDK-BASED NEURAL NETWORK USED FOR HIGH-QUALITY ANALYTICAL CBCT RECONSTRUCTION BY A LEARNED DIRECT FILTER
Hongliang Qi, Nanfang Hospital, Southern Medical University; Yuan Xu, Southern Medical University; Hongwen Chen, Nanfang Hospital, Southern Medical University
Session:
We.P33: Image reconstruction, enhancement, compression and visualization Poster
Track:
Biomedical Imaging and Image Processing
Location:
Hall E; Bay B, Board #30
Presentation Time:
Wednesday, 29 July, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session We.P33
We.P33.B-29: SELF-SUPERVISED ITERATIVE DENOISING FOR SODIUM MRI and TSC QUANTIFICATION VIA SEQUENCE-BASED NOISE EXTRACTION
Chenlu Guo, College of Electrical Engineering, Zhejiang University, Hangzhou, China; Caohui Duan, Xin Lou, Department of Radiology, Chinese PLA General Hospital, Beijing, China; Xiaotong Zhang, College of Electrical Engineering, Zhejiang University, Hangzhou, China and Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
We.P33.B-30: FDK-BASED NEURAL NETWORK USED FOR HIGH-QUALITY ANALYTICAL CBCT RECONSTRUCTION BY A LEARNED DIRECT FILTER
Hongliang Qi, Nanfang Hospital, Southern Medical University; Yuan Xu, Southern Medical University; Hongwen Chen, Nanfang Hospital, Southern Medical University
We.P33.B-31: DEVELOPMENT OF AN AI-BASED MULTI-MODAL DIGITAL PHANTOM FOR PRECLINICAL IMAGING RESEARCH
Mahdis Moayed, Department of Pharmacology and Physiology, Faculty of Medicine, Université de Montréal, Montréal, Quebec, Canada; Francisco Berumen Murillo, Jean-François Carrier, Department of Physics, Faculty of Arts and Sciences, Université de Montréal, Montréal, Quebec, Canada
Resources
No resources available.