7th Conference on PET/MR and SPECT/MR

Session

Session 10 - Software and Quantification: other

23 May 2018, 08:30

La Biodola, Isola d'Elba

Conveners

Session 10 - Software and Quantification: other

• Pedro Almeida (Inst. Biophysics and Biom. Engineering, Faculty of Sciences, University of Lisbon, Portugal)

33. Comparison of motion surrogate signal derived from MR images, respiratory belt and PCA-PET for motion correction in PET/MR

Kris Thielemans (Institute of Nuclear Medicine, UCL, London, UK)

23/05/2018, 08:30

Talk

Respiratory motion is one of the major causes of artefacts in chest imaging. Motion correction is therefore needed in PET/MR chest acquisitions, to restore the image quality and improve lesion detectability. In clinical practice the patient’s breathing motion is detected via the use of external devices, whereas Principal Component Analysis (PCA) can produce a signal using only the PET raw...

15. MR image corrections for PET-system-induced gradient distortions

Nicolas Gross-Weege (Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Germany)

23/05/2018, 08:50

Talk

Combining positron emission tomography (PET) and magnetic resonance imaging (MRI) can be realized by placing a PET insert in a clinical MRI scanner. When designing the PET insert, mutual influences of both imaging modalities need to be minimized. The gradient magnetic fields induce eddy currents in all conductive components of the PET insert. Eddy currents produce superimposing magnetic fields...

21. A comparison of the hybrid kernel and the parallel level-sets approaches for the inclusion of MR information into PET reconstruction

Daniel Deidda (Biomedical Imaging Science department, Department of statistics, University of Leeds), Kris Thielemans (University College London)

23/05/2018, 09:10

Talk

Since the introduction of integrated hybrid PET/MR scanners, several techniques have been proposed to take advantage of the combined information from the two modalities. In particular, in this work, we investigate the performance of two different approaches: the hybrid kernelised expectation maximisation (HKEM) algorithm and the parallel level sets (PLS) method. Both are implemented in the...

62. High-Resolution Heterogeneous Digital PET Brain Phantom based on the BigBrain Atlas

Martin A. Belzunce (King's College London)

23/05/2018, 09:30

Talk

In positron emission tomography (PET), the evaluation of image reconstruction algorithms needs realistic simulated data sets where the ground truth is known and the image quality and the quantification errors can be evaluated. In the context of brain imaging, qualitative and quantitative assessments of the radiotracer uptake in anatomical regions, such as the striatum or the cortical grey...

23. Rigid Motion Correction for Brain PET/MR Imaging Using Optical Tracking

Matthew Spangler-Bickell (Nuclear Medicine Unit, IRCCS Ospedale San Raffaele, Milan, Italy.)

23/05/2018, 09:50

Talk

A significant challenge during high-resolution PET brain imaging on PET/MR scanners is patient head motion, which, due to the relatively long scan-time, is often observed. This challenge is particularly significant for clinical patient populations who struggle to remain motionless in the scanner for long periods of time. Head motion also affects the MR scan data. An optical motion tracking...

65. Motion-Corrected PET Reconstruction with SIRF

Richard Brown (UCL)

23/05/2018, 10:10

Talk

In order to be able to fully exploit the many advantages of simultaneous PET/MR, novel synergistic reconstruction methods are being developed by several groups. Access to flexible yet powerful reconstruction software is required, which requires components that are not currently available from manufacturers. For this reason, the Synergistic Image Reconstruction Framework (SIRF) has been...