TY - JOUR
T1 - Joint reconstruction of image and motion in gated positron emission tomography
AU - Blume, Moritz
AU - Martinez-Möller, Axel
AU - Keil, Andreas
AU - Navab, Nassir
AU - Rafecas, Magdalena
N1 - Funding Information:
Manuscript received February 19, 2010; revised May 31, 2010; accepted June 03, 2010. Date of publication June 17, 2010; date of current version November 03, 2010. This work was supported in part by the Spanish Ministry of Science and Innovation under Grant TEC2007-61047 and CI09-252, in part by the CAMP Scholarship provided by the chair for Computer Aided Medical Procedures, Computer Science Department, Technische Universität München, and in part by the Deutscher Akademischer Austauschdienst (DAAD) under Grant D/09/50710. Asterisk indicates corresponding author. *M. Blume is with the Instituto de Física Corpuscular (IFIC), Universidad de Valencia/CSIC, E-46071 Valencia, Spain, and also with Computer Aided Medical Procedures (CAMP), Department of Computer Science, Technische Uni-versität München, D-85748 Munich, Germany (e-mail: [email protected]. edu).
PY - 2010/11
Y1 - 2010/11
N2 - 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.
AB - 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.
KW - Gating
KW - motion compensation
KW - positron emission tomography (PET)
KW - reconstruction
UR - http://www.scopus.com/inward/record.url?scp=78149244777&partnerID=8YFLogxK
U2 - 10.1109/TMI.2010.2053212
DO - 10.1109/TMI.2010.2053212
M3 - Article
C2 - 20562034
AN - SCOPUS:78149244777
SN - 0278-0062
VL - 29
SP - 1892
EP - 1906
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 11
M1 - 5487394
ER -