Joint reconstruction of image and motion in gated positron emission tomography.
We present a novel intrinsic method for joint reconstruction of both image and motion in positron emission tomography (PET). Intrinsic motion compensation methods exclusively work on the measured data, without any external motion measurements. Most of these methods separate image from motion estimation: They use deformable image registration/optical flow techniques in order to estimate the motion from individually reconstructed gates. Then, the image is estimated based on this motion information. With these methods, a main problem lies in the motion estimation step, which is based on the noisy gated frames. The more noise is present, the more inaccurate the image registration becomes. As we show both visually and quantitatively, joint reconstruction using a simple deformation field motion model can compete with state-of-the-art image registration methods which use robust multilevel B-spline motion models.
Blume
Moritz
M
Instituto de Física Corpuscular (IFIC), Universidad de Valencia/CSIC, E-46071 Valencia, Spain. moritz.blume@cs.tum.edu
Martinez-Möller
Axel
A
Keil
Andreas
A
Navab
Nassir
N
Rafecas
Magdalena
M
D000465:Algorithms; D055424:Cardiac-Gated Imaging Techniques / Q000379:methods*; D006321:Heart / Q000000981:diagnostic imaging* / Q000502:physiology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009068:Movement / Q000502:physiology; D009200:Myocardial Contraction / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D049268:Positron-Emission Tomography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity