Motion correction of cardiac PET using mass-preserving registration

Gigengack F., Ruthotto L., Burger M., Wolters C., Jiang X., Schafers K.

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

Cardiac motion leads to image quality degradation in positron emission tomography (PET). In the literature gated listmode acquisition along with motion estimation techniques, such as optical flow or image registration, proved successful for respiratory motion correction. Cardiac gated PET images, however, are affected by the partial volume effect (PVE) which is expressed in strongly varying local intensities. This fact complicates the motion estimation process. To overcome this problem, the mass-preserving nature of PET images is identified and included into the image registration problem. We show that our mass-preserving registration approach allows cardiac motion correction with high accuracy due to realistic motion estimates. In addition, neglecting the mass-preserving property of PET is proven to entail unrealistic results. © 2010 IEEE.

Details zur Publikation

Seitenbereich3317-3319
StatusVeröffentlicht
Veröffentlichungsjahr2010
Sprache, in der die Publikation verfasst istEnglisch
Konferenz2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010, Knoxville, TN, usa, undefined
ISBN9781424491063
DOI10.1109/NSSMIC.2010.5874418
Link zum Volltexthttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960324459&origin=inward

Autor*innen der Universität Münster

Burger, Martin
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Burger)
Gigengack, Fabian
Institut für Informatik
Jiang, Xiaoyi
Professur für Praktische Informatik (Prof. Jiang)
Ruthotto, Lars
Institut für Analysis und Numerik
Schäfers, Klaus
European Institute of Molecular Imaging (EIMI)
Wolters, Carsten
Institut für Biomagnetismus und Biosignalanalyse