Details

Autor(en) / Beteiligte

• Dowson, N.
• Bourgeat, P.
• Rose, S.
• Daglish, M.
• Smith, J.
• Fay, M.
• Coulthard, A.
• Winter, C.
• MacFarlane, D.
• Thomas, P.
• Crozier, S.
• Salvado, O.
• Pluim, Josien P. W.
• Jiang, Tianzi
• Viergever, Max A.
• Navab, Nassir

Titel

Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients

Ist Teil von

• Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, 2010, Vol.13 (Pt 2), p.185-192

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2010

Quelle

MEDLINE

Beschreibungen/Notizen

• Kinetic analysis is an essential tool of Positron Emission Tomography image analysis. However it requires a pure tissue time activity curve (TAC) in order to calculate the system parameters. Pure tissue TACs are particularly difficult to obtain in the brain as the low resolution of PET means almost all voxels are a mixture of tissues. Factor analysis explicitly accounts for mixing but is an underdetermined problem that can give arbitrary results. A joint factor and kinetic analysis is proposed whereby factor analysis explicitly accounts for mixing of tissues. Hence, more meaningful parameters are obtained by the kinetic models, which also ensure a less ambiguous solution to the factor analysis. The method was tested using a cylindrical phantom and the 18F-DOPA data of a brain cancer patient.