Megavoltage CT on a tomotherapy system

被引:214
作者
Ruchala, KJ
Olivera, GH
Schloesser, EA
Mackie, TR
机构
[1] Univ Wisconsin, Sch Med, Dept Med Phys, Med Sci Ctr 1530, Madison, WI 53706 USA
[2] Univ Wisconsin, Sch Med, Dept Human Oncol, Med Sci Ctr 1530, Madison, WI 53706 USA
关键词
D O I
10.1088/0031-9155/44/10/316
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A megavoltage computed tomography (MVCT) system was developed on the University of Wisconsin tomotherapy benchtop. This system can operate either axially or helically, and collect transmission data without any bounds on delivered dose. Scan times as low as 12 s per slice are possible, and scans were run with linac output rates of 100 MU min(-1), although the system can be tuned to deliver arbitrarily low dose rates. Images were reconstructed with clinically reasonable doses ranging from 8 to 12 cGy. These images delineate contrasts below 2% and resolutions of 3.0 mm. Thus, the MVCT image quality of this system should be sufficient for verifying the patient's position and anatomy prior to radiotherapy. Additionally, synthetic data were used to test the potential for improved MVCT contrast using maximum-likelihood (ML) reconstruction. Specifically, the maximum-likelihood expectation-maximization (ML-EM) algorithm and a transmission ML algorithm were compared with filtered backprojection (FBP). It was found that for expected clinical MVCT doses enough imaging photons are used such that little benefit is conferred by the improved noise model of ML algorithms. For significantly lower doses, some quantitative improvement is achieved through ML reconstruction. Nonetheless, the image quality at those lower doses is not satisfactory for radiotherapy verification.
引用
收藏
页码:2597 / 2621
页数:25
相关论文
共 79 条
  • [1] Abramowitz M., 1970, HDB MATH FUNCTIONS
  • [2] ATTIX F. H., 1986, Introduction to radiological physics and radiation dosimetry
  • [3] BALOG J, 1998, THESIS U WISCONSIN M
  • [4] BARRETT H H, 1976, Computers in Biology and Medicine, V6, P307, DOI 10.1016/0010-4825(76)90068-8
  • [5] Barrett HH., 1981, RADIOLOGICAL IMAGING
  • [6] First clinical tests using a liquid-filled electronic portal imaging device and a convolution model for the verification of the midplane dose
    Boellaard, R
    van Herk, M
    Uiterwaal, H
    Mijnheer, B
    [J]. RADIOTHERAPY AND ONCOLOGY, 1998, 47 (03) : 303 - 312
  • [7] Bayesian reconstruction and use of anatomical a Priori information for emission tomography
    Bowsher, JE
    Johnson, VE
    Turkington, TG
    Jaszczak, RJ
    Floyd, CE
    Coleman, RE
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1996, 15 (05) : 673 - 686
  • [8] RADIOTHERAPEUTIC COMPUTED-TOMOGRAPHY WITH SCANNED PHOTON BEAMS
    BRAHME, A
    LIND, B
    NAFSTADIUS, P
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1987, 13 (01): : 95 - 101
  • [9] BROOKS R A, 1976, Medical Physics (Woodbury), V3, P237, DOI 10.1118/1.594240
  • [10] A row-action alternative to the EM algorithm for maximizing likelihoods in emission tomography
    Browne, J
    DePierro, AR
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1996, 15 (05) : 687 - 699