Cone-beam CT image reconstruction with extended z range

被引:22
|
作者
Grimmer, Rainer [1 ]
Oelhafen, Markus [2 ]
Elstrom, Ulrik [3 ]
Kachelriess, Marc [1 ]
机构
[1] Univ Erlangen Nurnberg, Inst Med Phys, D-91052 Erlangen, Germany
[2] Varian Med Syst, CH-5405 Baden, Switzerland
[3] Aarhus Univ Hosp, DK-8000 Aarhus C, Denmark
关键词
cancer; computerised tomography; image reconstruction; medical image processing; BACKPROJECTION; ALGORITHM;
D O I
10.1118/1.3148560
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
In circular cone-beam CT the Feldkamp [Feldkamp-Davis-Kress (FDK)] algorithm is the most prominent image reconstruction algorithm. For example, in radiation oncology images reconstructed with the Feldkamp algorithm are used for accurate patient positioning. The scan and reconstruction volumes are limited by the size of the flat panel detector. Flat panel detectors, however, are expensive and difficult to manufacture in large size. For numerous treatment techniques, extending this scan volume would be very beneficial. In most applications, data from 360 degrees or more are available. However, usually only those slices are reconstructed where each pixel is seen under the full 360 degrees range. Yet for a 360 degrees scan there are regions that are seen by less than 360 degrees, namely, those that lie further off the plane of the circular source trajectory. Performing a reconstruction also for those slices where all voxels are seen at least by 180 degrees will extend the z range and therefore increase the dose usage. In this work a new method is presented that reconstructs also those slices where some or all pixels receive less than 360 degrees but at least 180 degrees of the data. The procedure significantly increases the longitudinal range of the reconstructed volume. As opposed to the existing techniques, the proposed method does not necessitate any multiple convolutions or multiple backprojections, lending itself therefore for a very efficient implementation. To validate the abilities of the extended reconstruction, the authors performed an evaluation of the image quality by using simulated and measured CT data. The method shows good image quality on simulated phantom data as well as on clinical patient scans. Image noise and spatial resolution behave as expected. This means that the noise equals FDK values in the normal region and increases in the extended region due to reduced data redundancies. The extended Feldkamp demonstrates its ability to extend the reconstructable z range and appears to be useful in clinical practice.
引用
下载
收藏
页码:3363 / 3370
页数:8
相关论文
共 50 条
  • [11] Streaming architectures for cone-beam CT image reconstruction and deformable registration
    Singh, H.
    Kandasamy, N.
    Folkert, M.
    Sharp, G.
    MEDICAL PHYSICS, 2007, 34 (06) : 2634 - 2634
  • [12] Fast cone-beam CT image reconstruction using GPU hardware
    Yan, Guorui
    Tian, Jie
    Zhu, Shouping
    Dai, Yakang
    Qin, Chenghu
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2008, 16 (04) : 225 - 234
  • [13] Image Reconstruction of Arc Cone-Beam CT with Reprojection: A preliminary study
    Lo, Shih-Chung B.
    Freedman, Matthew T.
    MEDICAL IMAGING 2013: PHYSICS OF MEDICAL IMAGING, 2013, 8668
  • [14] Exact image reconstruction for selected ROI in helical cone-beam CT
    Pan, XC
    Zou, Y
    Xia, D
    Sidky, E
    Jiang, TZ
    2004 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-7, 2004, : 3773 - 3776
  • [15] CT projection transform theory for circular cone-beam image reconstruction
    Department of Engineering Physics, Tsinghua University, Beijing 100084, China
    Qinghua Daxue Xuebao, 2008, 8 (1264-1267):
  • [16] A New Reconstruction Algorithm for Improved Cone-Beam CT Image Quality
    Li, T.
    Li, X.
    Yang, Y.
    Heron, D.
    Huq, M.
    MEDICAL PHYSICS, 2009, 36 (06) : 2746 - +
  • [17] Exact Interior Reconstruction with Cone-Beam CT
    Ye, Yangbo
    Yu, Hengyong
    Wang, Ge
    INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING, 2007, 2007
  • [18] Iterative cardiac cone-beam CT reconstruction
    Nielsen, T
    Manzke, R
    Koehler, T
    Grass, M
    Proksa, R
    MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3, 2004, 5370 : 2003 - 2014
  • [19] Cone-beam CT reconstruction for planar object
    Liu, Tong
    NDT & E INTERNATIONAL, 2012, 45 (01) : 9 - 15
  • [20] Cone-beam reconstruction for micro-CT
    Wang, G
    Jiang, M
    Lee, SW
    Liu, H
    Hoffman, E
    2002 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, PROCEEDINGS, 2002, : 384 - 387