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]](https://bibbase.org/img/filetypes/link.svg "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},
references = {Bernarding, J., Braun, J., Hohmann, J., Histogram-based characterization of healthy and ischemic brain tissues using multiparametric MR imaging including apparent diffusion coefficient maps and relaxometry (2000) Magn Reson Med, 43, pp. 52-61; West, J., Fitzpatrick, J.M., Wang, M.Y., Comparison and evaluation of retrospective intermodality brain image registration techniques (1997) J Comput Assist Tomogr, 21, pp. 554-566; Maintz, J.B.A., Viergever, M.A., A survey of medical image registration (1998) Med Image Anal, 2, pp. 1-36; Fristen, K.J., Williams, S., Howard, R., Frackowiak, R.S.J., Turner, R., Movement-related effects in fMRI time-series (1996) Magn Reson Med, 35, pp. 346-355; Ostuni, J.L., Santha, A.K.S., Malta, V.S., Analysis of interpolation effects in the reslicing of functional MR images (1997) J Comput Assist Tomogr, 21, pp. 803-810; Ehman, R.L., Felmlee, J.P., Adaptive technique for high-definition MR imaging of moving structures (1989) Radiology, 173, pp. 255-263; McGee, K.P., Felmlee, J.P., Manduca, A., Riederer, S.J., Ehman, R.L., Rapid autocorrection using prescan navigator echoes (2000) Magn Reson Med, 43, pp. 583-588; Lee, C.C., Jack Jr., C.R., Grimm, R.C., Real-time adaptive motion correction in functional MRI (1996) Magn Reson Med, 36, pp. 436-444; Fu, Z.W., Wang, Y., Grimm, R.C., Orbital navigator echoes for motion measurements in magnetic resonance imaging (1995) Magn Reson Med, 34, pp. 746-753; Lee, C.C., Grimm, R.C., Manduca, A., A prospective approach to correct for inter-image head rotation in fMRI (1998) Magn Reson Med, 39, pp. 234-243; Ward, H.A., Riederer, S.J., Grimm, R.C., Ehman, R.L., Felmlee, J.P., Jack Jr., C.R., Prospective multiaxial motion correction for fMRI (2000) Magn Reson Med, 43, pp. 459-469; Welch, E.B., Manduca, A., Grimm, R.C., Ward, H.A., Jack Jr., C.R., Spherical navigator echoes for full 3D rigid body motion measurement in MRI (2002) Magn Reson Med, 47, pp. 32-41; Mathiak, K., Posse, S., Evaluation of motion and realignment for functional magnetic resonance imaging in real time (2001) Magn Reson Med, 45, pp. 167-171; Thesen, S., Heid, O., Mueller, E., Schad, L.R., Prospective acquisition correction for head motion with image-based tracking for real-time fMRI (2000) Magn Reson Med, 44, pp. 457-465; Van Der Kouwe, A., Gicquel, S., Chen, G.N., On-line automatic slice positioning and between-scan correction for brain MR protocols (2003) Proceedings of the 11th Annual Meeting of ISMRM, p. 797. , Toronto, Canada; Woods, R.P., Cherry, S.R., Mazziotta, J.C., Rapid automated algorithm for aligning and reslicing PET images (1992) J Comput Assist Tomogr, 16, pp. 620-633; Friston, K.J., Ashburner, J., Frith, C.D., Poline, J.B., Heather, J.D., Frackowiak, R.S.J., Spatial registration and normalization of images (1995) Human Brain Mapping, 3, pp. 165-189; Barnea, D.I., Silverman, H.F., A class of algorithms for fast digital image registration (1972) IEEE Trans Comput, 21, pp. 179-186; Maas, L.C., Frederick, Bd.B., Renshaw, P.F., Decoupled automated rotational and translational registration for functional MRI time series data: The DART registration algorithm (1997) Magn Reson Med, 37, pp. 131-139},
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}
}
Downloads: 0
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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. -->\n<!-- </div> -->\n<!-- -->\n\n</div>\n","downloads":0,"abbrev_source_title":"J. Magn. Reson. Imaging","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.","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","author":["Gedat","c, E.a","Braun, J.a","Sack, I.b","Bernarding","b, J.a"],"author_keywords":"Cross-correlation; MR imaging; Neuroimaging; Prospective registration; Slice positioning","author_short":["Gedat","c, E.","Braun, J.","Sack, I.","Bernarding","b, J."],"bibtex":"@article{ Gedat2004581,\n author = {Gedat, E.a c and Braun, J.a and Sack, I.b and Bernarding, J.a b },\n title = {Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images},\n journal = {Journal of Magnetic Resonance Imaging},\n year = {2004},\n volume = {20},\n number = {4},\n pages = {581-587},\n note = {cited By (since 1996)14},\n url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-4744367360&partnerID=40&md5=7b857f8cf6dc794b8cfe4a90cf3e74f0},\n 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},\n 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.},\n author_keywords = {Cross-correlation; MR imaging; Neuroimaging; Prospective registration; Slice positioning},\n 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},\n chemicals_cas = {agarose, 9012-36-6},\n tradenames = {Vision, Siemens, Germany},\n manufacturers = {Siemens, Germany},\n references = {Bernarding, J., Braun, J., Hohmann, J., Histogram-based characterization of healthy and ischemic brain tissues using multiparametric MR imaging including apparent diffusion coefficient maps and relaxometry (2000) Magn Reson Med, 43, pp. 52-61; West, J., Fitzpatrick, J.M., Wang, M.Y., Comparison and evaluation of retrospective intermodality brain image registration techniques (1997) J Comput Assist Tomogr, 21, pp. 554-566; Maintz, J.B.A., Viergever, M.A., A survey of medical image registration (1998) Med Image Anal, 2, pp. 1-36; Fristen, K.J., Williams, S., Howard, R., Frackowiak, R.S.J., Turner, R., Movement-related effects in fMRI time-series (1996) Magn Reson Med, 35, pp. 346-355; Ostuni, J.L., Santha, A.K.S., Malta, V.S., Analysis of interpolation effects in the reslicing of functional MR images (1997) J Comput Assist Tomogr, 21, pp. 803-810; Ehman, R.L., Felmlee, J.P., Adaptive technique for high-definition MR imaging of moving structures (1989) Radiology, 173, pp. 255-263; McGee, K.P., Felmlee, J.P., Manduca, A., Riederer, S.J., Ehman, R.L., Rapid autocorrection using prescan navigator echoes (2000) Magn Reson Med, 43, pp. 583-588; Lee, C.C., Jack Jr., C.R., Grimm, R.C., Real-time adaptive motion correction in functional MRI (1996) Magn Reson Med, 36, pp. 436-444; Fu, Z.W., Wang, Y., Grimm, R.C., Orbital navigator echoes for motion measurements in magnetic resonance imaging (1995) Magn Reson Med, 34, pp. 746-753; Lee, C.C., Grimm, R.C., Manduca, A., A prospective approach to correct for inter-image head rotation in fMRI (1998) Magn Reson Med, 39, pp. 234-243; Ward, H.A., Riederer, S.J., Grimm, R.C., Ehman, R.L., Felmlee, J.P., Jack Jr., C.R., Prospective multiaxial motion correction for fMRI (2000) Magn Reson Med, 43, pp. 459-469; Welch, E.B., Manduca, A., Grimm, R.C., Ward, H.A., Jack Jr., C.R., Spherical navigator echoes for full 3D rigid body motion measurement in MRI (2002) Magn Reson Med, 47, pp. 32-41; Mathiak, K., Posse, S., Evaluation of motion and realignment for functional magnetic resonance imaging in real time (2001) Magn Reson Med, 45, pp. 167-171; Thesen, S., Heid, O., Mueller, E., Schad, L.R., Prospective acquisition correction for head motion with image-based tracking for real-time fMRI (2000) Magn Reson Med, 44, pp. 457-465; Van Der Kouwe, A., Gicquel, S., Chen, G.N., On-line automatic slice positioning and between-scan correction for brain MR protocols (2003) Proceedings of the 11th Annual Meeting of ISMRM, p. 797. , Toronto, Canada; Woods, R.P., Cherry, S.R., Mazziotta, J.C., Rapid automated algorithm for aligning and reslicing PET images (1992) J Comput Assist Tomogr, 16, pp. 620-633; Friston, K.J., Ashburner, J., Frith, C.D., Poline, J.B., Heather, J.D., Frackowiak, R.S.J., Spatial registration and normalization of images (1995) Human Brain Mapping, 3, pp. 165-189; Barnea, D.I., Silverman, H.F., A class of algorithms for fast digital image registration (1972) IEEE Trans Comput, 21, pp. 179-186; Maas, L.C., Frederick, Bd.B., Renshaw, P.F., Decoupled automated rotational and translational registration for functional MRI time series data: The DART registration algorithm (1997) Magn Reson Med, 37, pp. 131-139},\n correspondence_address1 = {Gedat, E.; Institut fur Medizinische Informatik, Charite-Universitatsmedizin Berlin, Hindenburgdamm 30, 12200 Berlin, Germany; email: egbert.gedat@charite.de},\n issn = {10531807},\n coden = {JMRIF},\n doi = {10.1002/jmri.20153},\n pubmed_id = {15390147},\n language = {English},\n abbrev_source_title = {J. Magn. Reson. Imaging},\n document_type = {Article},\n source = {Scopus}\n}","bibtype":"article","chemicals_cas":"agarose, 9012-36-6","coden":"JMRIF","correspondence_address1":"Gedat, E.; Institut fur Medizinische Informatik, Charite-Universitatsmedizin Berlin, Hindenburgdamm 30, 12200 Berlin, Germany; email: egbert.gedat@charite.de","document_type":"Article","doi":"10.1002/jmri.20153","id":"Gedat2004581","issn":"10531807","journal":"Journal of Magnetic Resonance Imaging","key":"Gedat2004581","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","language":"English","manufacturers":"Siemens, Germany","note":"cited By (since 1996)14","number":"4","pages":"581-587","pubmed_id":"15390147","references":"Bernarding, J., Braun, J., Hohmann, J., Histogram-based characterization of healthy and ischemic brain tissues using multiparametric MR imaging including apparent diffusion coefficient maps and relaxometry (2000) Magn Reson Med, 43, pp. 52-61; West, J., Fitzpatrick, J.M., Wang, M.Y., Comparison and evaluation of retrospective intermodality brain image registration techniques (1997) J Comput Assist Tomogr, 21, pp. 554-566; Maintz, J.B.A., Viergever, M.A., A survey of medical image registration (1998) Med Image Anal, 2, pp. 1-36; Fristen, K.J., Williams, S., Howard, R., Frackowiak, R.S.J., Turner, R., Movement-related effects in fMRI time-series (1996) Magn Reson Med, 35, pp. 346-355; Ostuni, J.L., Santha, A.K.S., Malta, V.S., Analysis of interpolation effects in the reslicing of functional MR images (1997) J Comput Assist Tomogr, 21, pp. 803-810; Ehman, R.L., Felmlee, J.P., Adaptive technique for high-definition MR imaging of moving structures (1989) Radiology, 173, pp. 255-263; McGee, K.P., Felmlee, J.P., Manduca, A., Riederer, S.J., Ehman, R.L., Rapid autocorrection using prescan navigator echoes (2000) Magn Reson Med, 43, pp. 583-588; Lee, C.C., Jack Jr., C.R., Grimm, R.C., Real-time adaptive motion correction in functional MRI (1996) Magn Reson Med, 36, pp. 436-444; Fu, Z.W., Wang, Y., Grimm, R.C., Orbital navigator echoes for motion measurements in magnetic resonance imaging (1995) Magn Reson Med, 34, pp. 746-753; Lee, C.C., Grimm, R.C., Manduca, A., A prospective approach to correct for inter-image head rotation in fMRI (1998) Magn Reson Med, 39, pp. 234-243; Ward, H.A., Riederer, S.J., Grimm, R.C., Ehman, R.L., Felmlee, J.P., Jack Jr., C.R., Prospective multiaxial motion correction for fMRI (2000) Magn Reson Med, 43, pp. 459-469; Welch, E.B., Manduca, A., Grimm, R.C., Ward, H.A., Jack Jr., C.R., Spherical navigator echoes for full 3D rigid body motion measurement in MRI (2002) Magn Reson Med, 47, pp. 32-41; Mathiak, K., Posse, S., Evaluation of motion and realignment for functional magnetic resonance imaging in real time (2001) Magn Reson Med, 45, pp. 167-171; Thesen, S., Heid, O., Mueller, E., Schad, L.R., Prospective acquisition correction for head motion with image-based tracking for real-time fMRI (2000) Magn Reson Med, 44, pp. 457-465; Van Der Kouwe, A., Gicquel, S., Chen, G.N., On-line automatic slice positioning and between-scan correction for brain MR protocols (2003) Proceedings of the 11th Annual Meeting of ISMRM, p. 797. , Toronto, Canada; Woods, R.P., Cherry, S.R., Mazziotta, J.C., Rapid automated algorithm for aligning and reslicing PET images (1992) J Comput Assist Tomogr, 16, pp. 620-633; Friston, K.J., Ashburner, J., Frith, C.D., Poline, J.B., Heather, J.D., Frackowiak, R.S.J., Spatial registration and normalization of images (1995) Human Brain Mapping, 3, pp. 165-189; Barnea, D.I., Silverman, H.F., A class of algorithms for fast digital image registration (1972) IEEE Trans Comput, 21, pp. 179-186; Maas, L.C., Frederick, Bd.B., Renshaw, P.F., Decoupled automated rotational and translational registration for functional MRI time series data: The DART registration algorithm (1997) Magn Reson Med, 37, pp. 131-139","source":"Scopus","title":"Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images","tradenames":"Vision, Siemens, Germany","type":"article","url":"http://www.scopus.com/inward/record.url?eid=2-s2.0-4744367360&partnerID=40&md5=7b857f8cf6dc794b8cfe4a90cf3e74f0","volume":"20","year":"2004","role":"author","urls":{"Paper":"http://www.scopus.com/inward/record.url?eid=2-s2.0-4744367360&partnerID=40&md5=7b857f8cf6dc794b8cfe4a90cf3e74f0"},"bibbaseid":"gedat-c-braun-sack-bernarding-b-prospectiveregistrationofhumanheadmagneticresonanceimagesforreproducibleslicepositioningusinglocalizerimages-2004"},"bibtype":"article","biburl":"http://home.arcor.de/teambushido/scopus.bib","downloads":0,"title":"Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images","year":2004,"dataSources":["kD4pn2eqcZAv2e5kr"]}