Abstract #3746
A Fast Patch-Based Approach for Pseudo-CT Generation from MRI T1-Weighted Images: A Potential Solution for PET/MR Attenuation Correction
Angel Torrado-Carvajal 1,2 , Eduardo Alcain 3 , Joaquin L. Herraiz 2,4 , Antonio S. Montemayor 3 , Juan A. Hernandez-Tamames 1,2 , Elfar Adalsteinsson 5,6 , Larry L. Wald 6,7 , and Norberto Malpica 1,2
1
Medical Image Analysis and Biometry Lab,
Universidad Rey Juan Carlos, Mostoles, Madrid, Spain,
2
Madrid-MIT
M+Vision Consortium, Madrid, Spain,
3
Dept.
of Computer Science, Universidad Rey Juan Carlos,
Mostoles, Madrid, Spain,
4
Research
Laboratory of Electronics, Massachusetts Institute of
Technology, Cambridge, MA, United States,
5
Dept.
of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology, Cambridge, MA,
United States,
6
Harvard-MIT Health Sciences
and Technology, Massachusetts Institute of Technology,
Cambridge, MA, United States,
7
Martinos
Center for Biomedical Imaging, Dept. of Radiology, MGH,
Charlestown, MA, United States
In this work, we propose a fast pseudo-CT generation
from a patient-specific MRI T1-weighted image using a
group-wise patch-based approach and a limited MRI and CT
atlas dictionary. The use of patch-based techniques to
estimate a pseudo-CT from MR T1-weighted images allows
determining accurate AC maps for use in hybrid PET/MR
systems. The proposed method provides an accurate
estimation of the pseudo-CT with a similar accuracy as
patient-specific CT does. This avoids the
over-simplification of most previous proposed methods
based on segmented MR images that assume that all voxels
in the same tissue type should have the same attenuation
coefficients.
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