Multi-resolution based cone-beam computed tomography high precision point cloud acquisition

Jia Zheng; Dinghua Zhang; Kuidong Huang; Yuanxi Sun

doi:10.1364/FIO.2018.JTu3A.130

Multi-resolution based cone-beam computed tomography high precision point cloud acquisition

Jia Zheng, Dinghua Zhang, Kuidong Huang, Yuanxi Sun

School of Mechanical Engineering

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We improve disconnections in sub-pixels of cone-beam computed tomography (CBCT) slice images. The proposed method, which is based on the multi-resolution, can acquire more connective sub-pixels and point cloud with higher precision.

Original language	English
Title of host publication	Frontiers in Optics, FIO 2018
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580460
DOIs	https://doi.org/10.1364/FIO.2018.JTu3A.130
State	Published - 2018
Event	Frontiers in Optics, FIO 2018 - Washington, DC, United States Duration: 16 Sep 2018 → 20 Sep 2018

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F114-FIO 2018
ISSN (Electronic)	2162-2701

Conference

Conference	Frontiers in Optics, FIO 2018
Country/Territory	United States
City	Washington, DC
Period	16/09/18 → 20/09/18

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10.1364/FIO.2018.JTu3A.130

Cite this

@inproceedings{554e0412d24349ee9bce75ccf172c734,

title = "Multi-resolution based cone-beam computed tomography high precision point cloud acquisition",

abstract = "We improve disconnections in sub-pixels of cone-beam computed tomography (CBCT) slice images. The proposed method, which is based on the multi-resolution, can acquire more connective sub-pixels and point cloud with higher precision.",

author = "Jia Zheng and Dinghua Zhang and Kuidong Huang and Yuanxi Sun",

note = "Publisher Copyright: {\textcopyright} 2018 The Author(s).; Frontiers in Optics, FIO 2018 ; Conference date: 16-09-2018 Through 20-09-2018",

year = "2018",

doi = "10.1364/FIO.2018.JTu3A.130",

language = "英语",

isbn = "9781943580460",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Frontiers in Optics, FIO 2018",

}

Zheng, J, Zhang, D, Huang, K & Sun, Y 2018, Multi-resolution based cone-beam computed tomography high precision point cloud acquisition. in Frontiers in Optics, FIO 2018. Optics InfoBase Conference Papers, vol. Part F114-FIO 2018, Optica Publishing Group (formerly OSA), Frontiers in Optics, FIO 2018, Washington, DC, United States, 16/09/18. https://doi.org/10.1364/FIO.2018.JTu3A.130

Multi-resolution based cone-beam computed tomography high precision point cloud acquisition. / Zheng, Jia; Zhang, Dinghua; Huang, Kuidong et al.
Frontiers in Optics, FIO 2018. Optica Publishing Group (formerly OSA), 2018. (Optics InfoBase Conference Papers; Vol. Part F114-FIO 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-resolution based cone-beam computed tomography high precision point cloud acquisition

AU - Zheng, Jia

AU - Zhang, Dinghua

AU - Huang, Kuidong

AU - Sun, Yuanxi

PY - 2018

Y1 - 2018

N2 - We improve disconnections in sub-pixels of cone-beam computed tomography (CBCT) slice images. The proposed method, which is based on the multi-resolution, can acquire more connective sub-pixels and point cloud with higher precision.

AB - We improve disconnections in sub-pixels of cone-beam computed tomography (CBCT) slice images. The proposed method, which is based on the multi-resolution, can acquire more connective sub-pixels and point cloud with higher precision.

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U2 - 10.1364/FIO.2018.JTu3A.130

DO - 10.1364/FIO.2018.JTu3A.130

M3 - 会议稿件

AN - SCOPUS:85059420796

SN - 9781943580460

T3 - Optics InfoBase Conference Papers

BT - Frontiers in Optics, FIO 2018

PB - Optica Publishing Group (formerly OSA)

T2 - Frontiers in Optics, FIO 2018

Y2 - 16 September 2018 through 20 September 2018

ER -

Multi-resolution based cone-beam computed tomography high precision point cloud acquisition

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