A Super-Resolution Diffusion Model for Recovering Bone Microstructure from CT Images-Reference-Cited by-同舟云学术

A Super-Resolution Diffusion Model for Recovering Bone Microstructure from CT Images

Published:2023-11-01 Issue:6 Volume:5 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Chan Trevor J.¹^ORCID,Rajapakse Chamith S.¹^ORCID

Affiliation:

1. From the Departments of Bioengineering (T.J.C.), Radiology (T.J.C., C.S.R.), and Orthopedic Surgery (C.S.R.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243.

Funder

National Science Foundation

National Institutes of Health

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.220251

Reference30 articles.

1. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures

2. Measuring the structural strength of bones with dual-energy X-ray absorptiometry: principles, technical limitations, and future possibilities

3. The challenges of diagnosing osteoporosis and the limitations of currently available tools

4. Vertebral Osteoporosis and Trabecular Bone Quality

5. HR‐pQCT Measures of Bone Microarchitecture Predict Fracture: Systematic Review and Meta‐Analysis

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