Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images. Gedat, c, E., Braun, J., Sack, I., Bernarding, & b, J. Journal of Magnetic Resonance Imaging, 20(4):581-587, 2004. cited By (since 1996)14
Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images [link]Paper  doi  abstract   bibtex   
Purpose: To facilitate assessing brain tumor growth and progression of stroke lesions by reproducible slice positioning in human head magnetic resonance (MR) images, a method for prospective registration is proposed that adjusts the image slice position without moving the patient and with no additional scans. Materials and Methods: The gradient reference frame of follow-up examinations was adjusted to achieve the same image slice positioning relative to the patient as in the previous examination. The three-dimensional geometrical transformation parameters for the gradients were determined using two-dimensional image registration of three orthogonal localizer images. The method was developed and evaluated using a phantom with arbitrarily adjustable position. Feasibility for in vivo applications was demonstrated with brain MR imaging (MRI) of healthy volunteers. Results: Standard retrospective registration was used for assessing the quality of the method. The accuracy of the realignment was 0.0 mm ± 1.2 mm and -0.2° ± 0.9° (mean ± SD) in phantom experiments. In 10 examinations of volunteers, misalignments up to 49.2 mm and 21° were corrected. The accuracy of the realignment after prospective registration was 0.1 mm ± 1.5 mm and 0.2° ± 1.5°. Conclusion: Image-based prospective registration using localizer images of the pre- and postexaminations is a robust method for reproducible slice positioning.
@article{ Gedat2004581,
  author = {Gedat, E.a  c  and Braun, J.a  and Sack, I.b  and Bernarding, J.a  b },
  title = {Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images},
  journal = {Journal of Magnetic Resonance Imaging},
  year = {2004},
  volume = {20},
  number = {4},
  pages = {581-587},
  note = {cited By (since 1996)14},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-4744367360&partnerID=40&md5=7b857f8cf6dc794b8cfe4a90cf3e74f0},
  affiliation = {Institutes for Medical Informatics, Charite University Medicine Berlin, Germany; Radiology, Charité University Medicine, Berlin, Germany; Institut fur Medizinische Informatik, Charite-Universitatsmedizin Berlin, Hindenburgdamm 30, 12200 Berlin, Germany},
  abstract = {Purpose: To facilitate assessing brain tumor growth and progression of stroke lesions by reproducible slice positioning in human head magnetic resonance (MR) images, a method for prospective registration is proposed that adjusts the image slice position without moving the patient and with no additional scans. Materials and Methods: The gradient reference frame of follow-up examinations was adjusted to achieve the same image slice positioning relative to the patient as in the previous examination. The three-dimensional geometrical transformation parameters for the gradients were determined using two-dimensional image registration of three orthogonal localizer images. The method was developed and evaluated using a phantom with arbitrarily adjustable position. Feasibility for in vivo applications was demonstrated with brain MR imaging (MRI) of healthy volunteers. Results: Standard retrospective registration was used for assessing the quality of the method. The accuracy of the realignment was 0.0 mm ± 1.2 mm and -0.2° ± 0.9° (mean ± SD) in phantom experiments. In 10 examinations of volunteers, misalignments up to 49.2 mm and 21° were corrected. The accuracy of the realignment after prospective registration was 0.1 mm ± 1.5 mm and 0.2° ± 1.5°. Conclusion: Image-based prospective registration using localizer images of the pre- and postexaminations is a robust method for reproducible slice positioning.},
  author_keywords = {Cross-correlation;  MR imaging;  Neuroimaging;  Prospective registration;  Slice positioning},
  keywords = {agarose, algorithm;  article;  brain tumor;  controlled study;  follow up;  head;  human;  human experiment;  in vivo study;  normal human;  nuclear magnetic resonance imaging;  patient positioning;  phantom;  priority journal;  reproducibility;  stroke;  tumor growth, Brain;  Humans;  Image Processing, Computer-Assisted;  Magnetic Resonance Imaging;  Phantoms, Imaging;  Reproducibility of Results},
  chemicals_cas = {agarose, 9012-36-6},
  tradenames = {Vision, Siemens, Germany},
  manufacturers = {Siemens, Germany},
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  correspondence_address1 = {Gedat, E.; Institut fur Medizinische Informatik, Charite-Universitatsmedizin Berlin, Hindenburgdamm 30, 12200 Berlin, Germany; email: egbert.gedat@charite.de},
  issn = {10531807},
  coden = {JMRIF},
  doi = {10.1002/jmri.20153},
  pubmed_id = {15390147},
  language = {English},
  abbrev_source_title = {J. Magn. Reson. Imaging},
  document_type = {Article},
  source = {Scopus}
}
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