High-resolution images of cone beam collimated CT scans

被引:6
|
作者
Shechter, G [1 ]
Koehler, T
Altman, A
Proksa, R
机构
[1] Philips Med Syst Technol, IL-31004 Haifa, Israel
[2] Philips Res Labs, Sector Tech Syst, D-22335 Hamburg, Germany
关键词
cone beam; helical computed tomography (CT); image reconstruction;
D O I
10.1109/TNS.2004.843110
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present a novel reconstruction algorithm for high-transaxial-resolution cone-beam computed tomography (CT). Two ideas are combined to achieve this: First, the ray-offset technique, which is well-known for two-dimensional reconstruction, is adapted to the case of cone-beam CT. Instead of interleaving parallel re-binned projections from opposite directions during pre-processing before radial re-binning and filtering, the parallel re-binned projections are interleaved with virtual projections, which contain only zeros. These new projections are processed further as usual. The actual combination of opposite measured projections is moved into the back-projection step of the reconstruction. The second idea is the so-called frequency-split technique, which is designed to minimize cone-beam artifacts. Observing that cone beam artifacts contain mainly low-frequency components, the reconstructed image is a combination of two independent reconstructions with differently modified reconstruction filters and different amounts of redundant data. A high-frequency image is reconstructed with the ray offset technique using all the redundant data, and a high-pass filter leading to a suppression of low-frequency artifacts, while the low-frequency components of the image are reconstructed by using little redundant data only. The pro- posed technique is applied to the WEDGE algorithm and helical acquisition.
引用
收藏
页码:247 / 255
页数:9
相关论文
共 50 条
  • [21] Images registration & superimposition for dual resolution cone beam CT: a preliminary study
    You, Zhicheng
    Shen, Youtao
    Zhong, Yuncheng
    Chen, Lingyun
    Han, Tao
    Ge, Shuaiping
    Yi, Ying
    Wang, Tianpeng
    Lai, Chao-Jen
    Liu, Xinming
    Shaw, Chris C.
    MEDICAL IMAGING 2010: PHYSICS OF MEDICAL IMAGING, 2010, 7622
  • [22] INTRAPULMONARY LYMPH-NODE - FINDINGS ON HIGH-RESOLUTION CT SCANS
    AWAI, K
    NISHIOKA, Y
    TACHIYAMA, Y
    AMERICAN JOURNAL OF ROENTGENOLOGY, 1993, 161 (01) : 208 - 209
  • [23] Quantitative Evaluation of Bone Microstructure using High-Resolution Extremity Cone-Beam CT with a CMOS Detector
    Subramanian, S.
    Brehler, M.
    Cao, Q.
    Gonzalez, F. J. Quevedo
    Breighner, R. E.
    Canino, J. A.
    Wright, T.
    Yorkston, J.
    Siewerdsen, J. H.
    Zbijewski, W.
    MEDICAL IMAGING 2019: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2019, 10953
  • [24] Clinically relevant human temporal bone measurements using novel high-resolution cone-beam CT
    Jing Zou
    Jaakko Lhelm
    Antti Arnisalo
    Ilmari Pyykk
    JournalofOtology, 2017, 12 (01) : 9 - 17
  • [25] HIGH-RESOLUTION N-BEAM LATTICE IMAGES OF HYDROXYAPATITE
    MCLEAN, JD
    NELSON, DGA
    MICRON, 1982, 13 (04) : 409 - 413
  • [26] HIGH-RESOLUTION SAGITTAL AND CORONAL REFORMATTED CT IMAGES OF THE LARYNX
    SILVERMAN, PM
    JOHNSON, GA
    KOROBKIN, M
    AMERICAN JOURNAL OF ROENTGENOLOGY, 1983, 140 (04) : 819 - 822
  • [27] Segmentation of Lung Lobes in High-Resolution Isotropic CT Images
    Wei, Qiao
    Hu, Yaoping
    Gelfand, Gary
    MacGregor, John H.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2009, 56 (05) : 1383 - 1393
  • [28] Automatic identification of colonic polyp in high-resolution CT Images
    Dehmeshki, J
    Amin, H
    Wong, W
    Dehkordi, ME
    Kamangari, N
    Roddie, M
    Costello, J
    MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3, 2004, 5370 : 155 - 162
  • [29] Lacunarity Analysis of Pulmonary Emphysema in High-Resolution CT Images
    Vasconcelos, Veronica
    Marques, Luis
    Silva, Jose Silvestre
    Barroso, Joao
    PROCEEDINGS OF THE 2013 8TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2013), 2013,
  • [30] REAL-TIME HIGH-RESOLUTION CONE-BEAM CT USING GPU-BASED MULTI-RESOLUTION SAMPLING
    Wedekind, Markus
    Kassubeck, Marc
    Magnor, Marcus
    2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 1163 - 1167