MR-based attenuation correction for hybrid PET-MR brain imaging systems using deformable image registration

Eduard Schreibmann, Jonathon A. Nye, David M. Schuster, Diego R Martin, John Votaw, Tim Fox

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

Purpose: Realization of combined positron emission tomography (PET)-magnetic resonance (MR) scanners has the potential to significantly change healthcare and revolutionize clinical practice as it allows, simultaneously, visualization of molecular imaging and anatomical imaging. PET-MR, acquired in one imaging study, will likely become the advanced imaging modality of choice for neurological studies, certain forms of cancer, stroke, and the emerging study of stem cell therapy. A challenge toward the implementation and operation of combined PET-MR scanners is that attenuation corrections maps are not directly available due to space and cost constraints. This article presents a method to obtain accurate patient-specific PET attenuation coefficients maps in head imaging by warping an atlas computed tomography (CT) data set to the patient-specific MR data set using a deformable registration model. Methods: A multimodality optical flow deformable model has been developed that establishes a voxel-to-voxel correspondence between the CT atlas and patient MR images. Once the mapping is established, the atlas is warped with the deformation field obtained by the registration to create a simulated CT image study that matches the patient anatomy, which could be used for attenuation correction. Results: To evaluate the accuracy of the deformable-based attenuation correction, 17 clinical brain tumor cases were studied using acquired MR-CT images. A simulated CT was compared to the patient's true CT to assess geometrical accuracy of the deformation module as well as voxel-to-voxel comparison of Hounsfield units (HUs). In all cases, mapping from the atlas CT to the individual MR was achieved with geometrical accuracy as judged using quantitative inspection tools. The mean distance between simulated and true CT external contour and bony anatomy was 1.26 and 2.15 mm, respectively. In terms of HU unit comparison, the mean voxel-to-voxel difference was less than 2 HU for all cases. Conclusions: Attenuation correction for hybrid PET-MR scanners was easily achieved by individualizing an atlas CT to the MR data set using a deformable model without requiring user interaction. The method provided clinical accuracy while eliminating the need for an additional CT scan for PET attenuation correction.

Original languageEnglish (US)
Pages (from-to)2101-2109
Number of pages9
JournalMedical Physics
Volume37
Issue number5
DOIs
StatePublished - May 2010
Externally publishedYes

Fingerprint

Neuroimaging
Positron-Emission Tomography
Magnetic Resonance Spectroscopy
Tomography
Magnetic Resonance Imaging
Atlases
Anatomy
Molecular Imaging
Cell- and Tissue-Based Therapy
Brain Neoplasms
Stem Cells
Stroke
Head
Delivery of Health Care
Costs and Cost Analysis
Datasets

Keywords

  • Attenuation correction
  • Deformable registration
  • Hybrid PET-MR

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Cite this

MR-based attenuation correction for hybrid PET-MR brain imaging systems using deformable image registration. / Schreibmann, Eduard; Nye, Jonathon A.; Schuster, David M.; Martin, Diego R; Votaw, John; Fox, Tim.

In: Medical Physics, Vol. 37, No. 5, 05.2010, p. 2101-2109.

Research output: Contribution to journalArticle

Schreibmann, Eduard ; Nye, Jonathon A. ; Schuster, David M. ; Martin, Diego R ; Votaw, John ; Fox, Tim. / MR-based attenuation correction for hybrid PET-MR brain imaging systems using deformable image registration. In: Medical Physics. 2010 ; Vol. 37, No. 5. pp. 2101-2109.
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