3D iterative Full and Hag Scan Reconstruction in CT architectures with distributed sources

被引:2
|
作者
Iatrou, M. [1 ]
De Man, B. [1 ]
Beque, D. [2 ]
Yin, Z. [1 ]
Khare, K. [1 ]
Benson, T. M. [1 ]
机构
[1] GE Res, Niskayuna, NY USA
[2] GE Res, Munich, Germany
关键词
distributed sources; CT; iterative reconstruction;
D O I
10.1117/12.772976
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In 3(rd) generation CT systems projection data, generated by X-rays emitted from a single source and passing through the imaged object, are acquired by a single detector covering the entire field of view (FOV). Novel CT system architectures employing distributed sources [1,2] could extend the axial coverage, while removing cone-beam artifacts and improving spatial resolution and dose. The sources can be distributed in plane and/or in the longitudinal direction. We investigate statistical iterative reconstruction of multi-axial data, acquired with simulated CT systems with multiple sources distributed along the in-plane and longitudinal directions. The current study explores the feasibility of 3D iterative Full and Half Scan reconstruction methods for CT systems with two different architectures. In the first architecture the sources are distributed in the longitudinal direction, and in the second architecture the sources are distributed both longitudinally and trans-axially. We used Penalized Weighted Least Squares Transmission Reconstruction (PWLSTR) and incorporated a projector-backprojector model matching the simulated architectures. The proposed approaches minimize artifacts related to the proposed geometries. The reconstructed images show that the investigated architectures can achieve good image quality for very large coverage without severe cone-beam artifacts.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Parallelization of a fully 3D CT iterative reconstruction algorithm
    Keesing, Daniel B.
    O'Sullivan, Joseph A.
    Politte, David G.
    Whiting, Bruce R.
    2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3, 2006, : 1240 - +
  • [2] Fully 3D iterative CT reconstruction using polar coordinates
    Thibaudeau, Christian
    Leroux, Jean-Daniel
    Fontaine, Rejean
    Lecomte, Roger
    MEDICAL PHYSICS, 2013, 40 (11)
  • [3] 3D Reconstruction of Face from 2D CT Scan Images
    Kumar, T. Senthil
    Vijai, Anupa
    INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011, 2012, 30 : 970 - 977
  • [4] Computer-assisted solid lung nodule 3D volumetry on CT: influence of scan mode and iterative reconstruction: a CT phantom study
    Adriaan Coenen
    Osamu Honda
    Eric J. van der Jagt
    Noriyuki Tomiyama
    Japanese Journal of Radiology, 2013, 31 : 677 - 684
  • [5] Computer-assisted solid lung nodule 3D volumetry on CT: influence of scan mode and iterative reconstruction: a CT phantom study
    Coenen, Adriaan
    Honda, Osamu
    van der Jagt, Eric J.
    Tomiyama, Noriyuki
    JAPANESE JOURNAL OF RADIOLOGY, 2013, 31 (10) : 677 - 684
  • [6] Superior venal cava syndrome: a 3D CT-scan reconstruction
    Di Giammarco, Gabriele
    Storto, Maria Luigia
    Marano, Riccardo
    Di Mauro, Michele
    EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2006, 30 (02) : 384 - 385
  • [7] 3D reconstruction of the ribs from lateral and frontal X-rays in comparison to 3D CT-scan reconstruction
    Mitton, David
    Zhao, Kristin
    Bertrand, Samuel
    Zhao, Chunfeng
    Laporte, Sebastien
    Yang, Chao
    An, Kai-Nan
    Skalli, Wafa
    JOURNAL OF BIOMECHANICS, 2008, 41 (03) : 706 - 710
  • [8] Distributed RANSAC for 3D reconstruction
    Xu, Mai
    Petrou, Maria
    THREE-DIMENSIONAL IMAGE CAPTURE AND APPLICATIONS 2008, 2008, 6805
  • [9] PET 3D Iterative Reconstruction on Cell BE
    Chevalier, David E.
    Drapkin, Evgeny
    2009 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2009, : 4054 - 4058
  • [10] Approximate 3D iterative reconstruction for SPECT
    Gilland, DR
    Jaszczak, RJ
    Riauka, TA
    Coleman, RE
    MEDICAL PHYSICS, 1997, 24 (09) : 1421 - 1429