Zobrazeno 1 - 10
of 11 602
pro vyhledávání: '"Reconstruction algorithm"'
Autor:
Wenqin Yang, Jianrong Zhou, Jianqing Yang, Xingfen Jiang, Jinhao Tan, Lin Zhu, Xiaojuan Zhou, Yuanguang Xia, Li Yu, Xiuku Wang, Haiyun Teng, Jiajie Li, Yongxiang Qiu, Peixun Shen, Songlin Wang, Yadong Wei, Yushou Song, Jian Zhuang, Yubin Zhao, Junrong Zhang, Zhijia Sun, Yuanbo Chen
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 7, Pp 2799-2805 (2024)
Energy-resolved neutron imaging is an effective way to investigate the internal structure and residual stress of materials. Different sample sizes have varying requirements for the detector's imaging field of view (FOV) and spatial resolution. Theref
Externí odkaz:
https://doaj.org/article/5cecd8630c024f799874a6acef7f3b3e
Autor:
GUO Zijing, NIE Peng
Publikováno v:
Yuanzineng kexue jishu, Vol 58, Iss 4, Pp 913-921 (2024)
According to the relevant provisions of the national radioactive waste management, radioactive waste is eventually sent to the waste disposal site storage, medium and low level waste must be packaged in standard packaging (steel drum or steel box, et
Externí odkaz:
https://doaj.org/article/cf9d437246884a11b9ed6463b25ca88d
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 33, Iss 2, Pp 243-262 (2024)
In this paper, the main literature related to 4DCT imaging and reconstruction techniques over the past 20 years is reviewed, and the contents are summarized. This paper provides a systematic and comprehensive introduction to 4DCT research from five p
Externí odkaz:
https://doaj.org/article/802c672694f7411d825b27e48a514831
Autor:
Wenjie Wu, Hefeng Zhan, Yiran Wang, Xueyan Ma, Jiameng Hou, Lichen Ren, Jie Liu, Luotong Wang, Yonggao Zhang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
ObjectiveThis study aims to investigate the image quality of a high-resolution, low-dose coronary CT angiography (CCTA) with deep learning image reconstruction (DLIR) and second-generation motion correction algorithms, namely, SnapShot Freeze 2 (SSF2
Externí odkaz:
https://doaj.org/article/07c48f5b415e4b2d8195256e0b498a89
Publikováno v:
IEEE Access, Vol 12, Pp 164315-164324 (2024)
The achievable spatial resolution of 13C metabolic images acquired with hyperpolarized 13C-pyruvate is worse than 1H images typically by an order of magnitude due to the rapidly decaying hyperpolarized signals and the low gyromagnetic ratio of 13C. T
Externí odkaz:
https://doaj.org/article/5fa4566479ec4c3682c58e9fc7071d1c
Publikováno v:
IEEE Access, Vol 12, Pp 121495-121506 (2024)
Purpose: We propose an FDK-based neural network to directly learn the filter from an iterative reconstruction (IR) algorithm and apply the learned filter in the FDK algorithm to obtain a high-quality CBCT reconstruction. Methods: The FDK algorithm is
Externí odkaz:
https://doaj.org/article/ae137872a7b348a8b5c6f7b5e003e1a8
Autor:
Yan Huang, Han Zhang, Xueping Hu, Shanshan Qin, Fan Hu, Yuchen Li, Haidong Cai, Kuangyu Shi, Fei Yu
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Background Due to spatial resolution limitations, conventional NaI-SPECT typically overestimates the left ventricular (LV) ejection fraction (EF) in patients with small LV volumes. The purpose of this study was to explore the clinical applic
Externí odkaz:
https://doaj.org/article/4db20349413f42669ed5540abe124c64
Publikováno v:
Iranian Journal of Medical Physics, Vol 20, Iss 6, Pp 328-332 (2023)
Introduction: This study aimed to compare the image quality and volume dose index of head CT scan between two adaptive statistical iterative reconstructions (ASIR) and the filtered back projection (FBP) algorithms.Material and Methods: CT number, noi
Externí odkaz:
https://doaj.org/article/b08aa4f47ef342ea830de6cf0b99db08
Autor:
Huiran Hu, Yanchao Huang, Hongyan Sun, Kemin Zhou, Li Jiang, Jinmei Zhong, Li Chen, Lijuan Wang, Yanjiang Han, Hubing Wu
Publikováno v:
EJNMMI Physics, Vol 10, Iss 1, Pp 1-19 (2023)
Abstract Background Conventional clinical PET scanners typically have an axial field of view (AFOV) of 15–30 cm, resulting in limited coverage and relatively low photon detection efficiency. Taking advantage of the development of long-axial PET/CT,
Externí odkaz:
https://doaj.org/article/56ae019993e34e79a140c466af5f866d
Autor:
Xiuxiu Zhou, Hanxiao Zhang, Xiaoxing Jin, Xiaohui Zhang, Xiaomei Lu, Qun Han, Xiaoge Xiong, Tian Liu, Yan Feng, Wenting Tu, Taohu Zhou, Yanming Ge, Peng Dong, Shiyuan Liu, Li Fan
Publikováno v:
Diagnostic and Interventional Radiology, Vol 29, Iss 5, Pp 691-703 (2023)
PURPOSETo assess the quantification accuracy of pulmonary nodules using virtual monoenergetic images (VMIs) derived from spectral-detector computed tomography (CT) under an ultra-low-dose scan protocol.METHODSA chest phantom consisting of 12 pulmonar
Externí odkaz:
https://doaj.org/article/a458eec43ad34cf3b2c5ccdf4f29ff18