The problem of motion is well known in positron emission tomography (PET) studies. The PET images are formed over an elongated period of time. As the patients cannot hold breath during the PET acquisition, spatial blurring and motion artifacts are the natural result. These may lead to wrong quantification of the radioactive uptake. We present a solution to this problem by respiratory-gating the PET data and correcting the PET images for motion with optical flow algorithms. The algorithm is based on the combined local and global optical flow algorithm with modifications to allow for discontinuity preservation across organ boundaries and for application to 3-D volume sets. The superiority of the algorithm over previous work is demonstrated on software phantom and real patient data.
机构:
Mathematical Image Analysis Group, Fac. of Math. and Computer Science, Saarland UniversityMathematical Image Analysis Group, Fac. of Math. and Computer Science, Saarland University
Bruhn A.
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机构:
Weickert J.
Schnörr C.
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Comp. Vis., Graphics Pattern R.G., Fac. of Math. and Computer Science, University of MannheimMathematical Image Analysis Group, Fac. of Math. and Computer Science, Saarland University
机构:
Mathematical Image Analysis Group, Fac. of Math. and Computer Science, Saarland UniversityMathematical Image Analysis Group, Fac. of Math. and Computer Science, Saarland University
Bruhn A.
论文数: 引用数:
h-index:
机构:
Weickert J.
Schnörr C.
论文数: 0引用数: 0
h-index: 0
机构:
Comp. Vis., Graphics Pattern R.G., Fac. of Math. and Computer Science, University of MannheimMathematical Image Analysis Group, Fac. of Math. and Computer Science, Saarland University