MR-based Attenuation Correction for PET/MR

Introduction There has recently been a growing interest in combining PET and MR. While promising hardware prototypes have been presented [1], the software for combined imaging is in its infancy. PET attenuation correction (AC), which accounts for radiation attenuation properties of the tissue, is mandatory for quantitative PET. Usually the attenuation map in stand-alone PET or PET/CT is obtained from a transmission scan or from a CT image. In the case of PET/MR, there is insufficient space for the rotating source so that the tissue attenuation information needs to be determined from the MR image. This is inherently difficult: The PET attenuation value is not related to the proton density and tissue relaxation properties expressed in the MR intensities. For example bone compacta and air both typically do not contribute a MR signal, whereas their attenuation values are maximally distinct. Here, we report our progress on evaluating suitable MR sequences and methodology for calculating the attenuation images (“Pseudo-CT”) based on the MR image. We present results for head and whole body imaging. To our knowledge, our contribution is the first to show the use of ultra short echo time (UTE) sequences for AC in clinical examples. It is also among the first to show results for human whole body AC.

[1]  Habib Zaidi,et al.  Determination of the attenuation map in emission tomography. , 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[2]  Nassir Navab,et al.  Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data , 2009, Journal of Nuclear Medicine.

[3]  U. Pietrzyk Does PET/CT render software registration obsolete? , 2005, Nuklearmedizin.

[4]  Bernhard Schölkopf,et al.  MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration , 2008, Journal of Nuclear Medicine.

[5]  G. Delso,et al.  Impact of limited MR field-of-view in simultaneous PET/MR acquisition , 2008 .

[6]  J. Keyes SUV: standard uptake or silly useless value? , 1995, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[7]  G. M. Bydder,et al.  MRI of the brain with ultra-short echo-time pulse sequences , 2003, Neuroradiology.

[8]  H. Mayberg,et al.  Correction of PET Data for Partial Volume Effects in Human Cerebral Cortex by MR Imaging , 1990, Journal of computer assisted tomography.

[9]  Keith A. Johnson,et al.  MRI-guided SPECT perfusion measures and volumetric MRI in prodromal Alzheimer disease. , 2003, Archives of neurology.

[10]  H. Herzog,et al.  Alternative methods for attenuation correction for PET images in MR-PET scanners , 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

[11]  Mark Bydder,et al.  Two-dimensional ultrashort echo time imaging using a spiral trajectory. , 2008, Magnetic resonance imaging.

[12]  Thomas E. Nichols,et al.  Comparative evaluation of MR-based partial-volume correction schemes for PET. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[13]  E Yorke,et al.  Four-dimensional (4D) PET/CT imaging of the thorax. , 2004, Medical physics.

[14]  Eriko Tsukamoto,et al.  PET/CT today: System and its impact on cancer diagnosis , 2006, Annals of nuclear medicine.

[15]  W. T. Dixon Simple proton spectroscopic imaging. , 1984, Radiology.

[16]  Richard M. Leahy,et al.  Incorporation of Anatomical MR Data for Improved Dunctional Imaging with PET , 1991, IPMI.

[17]  Ciprian Catana,et al.  Simultaneous PET-MRI: a new approach for functional and morphological imaging , 2008, Nature Medicine.

[18]  P. Fox,et al.  Computational approaches to network analysis in functional brain imaging , 1994 .

[19]  J. Nuyts The use of mutual information and joint entropy for anatomical priors in emission tomography , 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

[20]  Thomas Beyer,et al.  Positron emission tomography/computed tomography--imaging protocols, artifacts, and pitfalls. , 2004, Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging.

[21]  Mark Bydder,et al.  Magnetic Resonance: An Introduction to Ultrashort TE (UTE) Imaging , 2003, Journal of computer assisted tomography.

[22]  H. Zaidi,et al.  Magnetic resonance imaging-guided attenuation and scatter corrections in three-dimensional brain positron emission tomography. , 2003, Medical physics.

[23]  Belma Dogdas,et al.  Segmentation of skull and scalp in 3‐D human MRI using mathematical morphology , 2005, Human brain mapping.

[24]  Tinsu Pan,et al.  Truncation artifact on PET/CT: impact on measurements of activity concentration and assessment of a correction algorithm. , 2006, AJR. American journal of roentgenology.

[25]  S. Cherry,et al.  Simultaneous in vivo positron emission tomography and magnetic resonance imaging , 2008, Proceedings of the National Academy of Sciences of the United States of America.

[26]  Jean-Francois Mangin,et al.  Segmented MR images for brain attenuation correction in PET , 1994, Medical Imaging.

[27]  Thomas Beyer,et al.  The use of X-ray CT for attenuation correction of PET data , 1994, Proceedings of 1994 IEEE Nuclear Science Symposium - NSS'94.

[28]  Til Aach,et al.  Iterative generation of attenuation maps in TOF-PET/MR using consistency conditions , 2009 .

[29]  Christoph Palm,et al.  MR-based attenuation correction for torso-PET/MR imaging: pitfalls in mapping MR to CT data , 2008, European Journal of Nuclear Medicine and Molecular Imaging.

[30]  Wolfgang Enghardt,et al.  Attenuation correction of four dimensional (4D) PET using phase-correlated 4D-computed tomography. , 2008, Physics in medicine and biology.

[31]  Vesna Sossi,et al.  Biochemical variations in the synaptic level of dopamine precede motor fluctuations in Parkinson's disease: PET evidence of increased dopamine turnover , 2001 .

[32]  Agneta Nordberg,et al.  Target-Specific PET Probes for Neurodegenerative Disorders Related to Dementia , 2010, The Journal of Nuclear Medicine.

[33]  Walter Oberschelp,et al.  Expectation maximization reconstruction of positron emission tomography images using anatomical magnetic resonance information , 1997, IEEE Transactions on Medical Imaging.

[34]  Patrick Dupont,et al.  Simultaneous maximum a posteriori reconstruction of attenuation and activity distributions from emission sinograms , 1999, IEEE Transactions on Medical Imaging.