Attenuation Correction Methods Suitable for Brain Imaging with a PET/MRI Scanner: A Comparison of Tissue Atlas and Template Attenuation Map Approaches

被引:70
作者
Malone, Ian B. [1 ]
Ansorge, Richard E. [1 ]
Williams, Guy B. [2 ]
Nestor, Peter J. [3 ]
Carpenter, T. Adrian [2 ]
Fryer, Tim D. [2 ]
机构
[1] Univ Cambridge, Cavendish Lab, Cambridge CB3 0HE, England
[2] Univ Cambridge, Addenbrookes Hosp, Dept Clin Neurosci, Wolfson Brain Imaging Ctr, Cambridge CB3 0HE, England
[3] Univ Cambridge, Addenbrookes Hosp, Dept Clin Neurosci, Neurol Unit, Cambridge CB3 0HE, England
基金
英国工程与自然科学研究理事会; 英国医学研究理事会;
关键词
attenuation correction; brain; nonrigid registration; PET/MRI scanner; CEREBRAL 3D PET; IMAGES;
D O I
10.2967/jnumed.110.085076
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
Modeled attenuation correction (AC) will be necessary for combined PET/MRI scanners not equipped with transmission scanning hardware. We compared 2 modeled AC approaches that use nonrigid registration with rotating Ge-68 rod-based measured AC for 10 subjects scanned with F-18-FDG. Methods: Two MRI and attenuation map pairs were evaluated: tissue atlas-based and measured templates. The tissue atlas approach used a composite of the BrainWeb and Zubal digital phantoms, whereas the measured templates were produced by averaging spatially normalized measured MR image and coregistered attenuation maps. The composite digital phantom was manually edited to include 2 additional tissue classes (paranasal sinuses, and ethmoidal air cells or nasal cavity). In addition, 3 attenuation values for bone were compared. The MRI and attenuation map pairs were used to generate subject-specific attenuation maps via nonrigid registration of the MRI to the MR image of the subject. SPM2 and a B-spline free-form deformation algorithm were used for the nonrigid registration. To determine the accuracy of the modeled AC approaches, radioactivity concentration was assessed on a voxelwise and regional basis. Results: The template approach produced better spatial consistency than the phantom-based atlas, with an average percentage error in radioactivity concentration across the regions, compared with measured AC, of -1.2% +/- 1.2% and 1.5% +/- 1.9% for B-spline and SPM2 registration, respectively. In comparison, the tissue atlas method with B-spline registration produced average percentage errors of 0.0% +/- 3.0%, 0.9% +/- 2.9%, and 2.9% +/- 2.8% for bone attenuation values of 0.143 cm(-1), 0.152 cm(-1), and 0.172 cm(-1), respectively. The largest errors for the template AC method were found in parts of the frontal cortex (-3%) and the cerebellar vermis (-5%). Intersubject variability was higher with SPM2 than with B-spline. Compared with measured AC, template AC with B-spline and SPM2 achieved a correlation coefficient (R-2) of 0.99 and 0.98, respectively, for regional radioactivity concentration. The corresponding R-2 for the tissue atlas approach with B-spline registration was 0.98, irrespective of the bone attenuation coefficient. Conclusion: Nonrigid registration of joint MRI and attenuation map templates can produce accurate AC for brain PET scans, particularly with measured templates and B-spline registration. Consequently, these methods are suitable for AC of brain scans acquired on combined PET/MRI systems.
引用
收藏
页码:1142 / 1149
页数:8
相关论文
共 50 条
  • [41] MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration
    Hofmann, Matthias
    Steinke, Florian
    Scheel, Verena
    Charpiat, Guillaume
    Farquhar, Jason
    Aschoff, Philip
    Brady, Michael
    Schoelkopf, Bernhard
    Pichler, Bernd J.
    JOURNAL OF NUCLEAR MEDICINE, 2008, 49 (11) : 1875 - 1883
  • [42] Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging
    Jani Lindén
    Jarmo Teuho
    Mika Teräs
    Riku Klén
    BMC Medical Imaging, 22
  • [43] Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data
    Martinez-Moeller, Axel
    Souvatzoglou, Michael
    Delso, Gaspar
    Bundschuh, Ralph A.
    Chefd'hotel, Christophe
    Ziegler, Sibylle I.
    Navab, Nassir
    Schwaiger, Markus
    Nekolla, Stephan G.
    JOURNAL OF NUCLEAR MEDICINE, 2009, 50 (04) : 520 - 526
  • [44] PHOTON ATTENUATION CORRECTION IN WHOLE-BODY PET/MRI USING TISSUE CLASSIFICATION
    Martinez-Moeller, Axel
    Souvatzoglou, Michael
    Nekolla, Stephan G.
    2010 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 2010, : 1061 - 1062
  • [45] MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods
    Hofmann, Matthias
    Bezrukov, Ilja
    Mantlik, Frederic
    Aschoff, Philip
    Steinke, Florian
    Beyer, Thomas
    Pichler, Bernd J.
    Schoelkopf, Bernhard
    JOURNAL OF NUCLEAR MEDICINE, 2011, 52 (09) : 1392 - 1399
  • [46] Automated material map generation from MRI scout pairs for preclinical PET attenuation correction
    Bandi, Peter
    Zsoter, Norbert
    Koncz, Peter
    Babos, Magor
    Hobor, Sandor
    Mathe, Domokos
    Papp, Laszlo
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 5351 - 5354
  • [47] Accurate hybrid template–based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications
    Jakub Baran
    Zhaolin Chen
    Francesco Sforazzini
    Nicholas Ferris
    Sharna Jamadar
    Ben Schmitt
    David Faul
    Nadim Jon Shah
    Marian Cholewa
    Gary F. Egan
    BMC Medical Imaging, 18
  • [48] Artificial Intelligence is implemented as a tool in the daily workflow on the PET/MRI scanner to create an attenuation map for the correct PET image.
    Federspiel, Marianne
    Azizi, Nadia
    Andersen, Flemming
    Hansen, Adam
    Law, Ian
    Ladefoged, Claes
    JOURNAL OF NUCLEAR MEDICINE, 2020, 61
  • [49] Impact of attenuation correction on clinical [18F]FDG brain PET in combined PET/MRI
    P. Werner
    M. Rullmann
    A. Bresch
    S. Tiepolt
    T. Jochimsen
    D. Lobsien
    M. L. Schroeter
    O. Sabri
    H. Barthel
    EJNMMI Research, 6
  • [50] Comparison of Template-Based Versus CT-Based Attenuation Correction for Hybrid MR/PET Scanners
    Kops, Elena Rota
    Hautzel, Hubertus
    Herzog, Hans
    Antoch, Gerald
    Shah, N. Jon
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2015, 62 (05) : 2115 - 2121