Duchstein, L. D. L.

Lonsdale, M. N.

S. W. Hasler, Hasler

Vilsbøll, Josefine Holm

Wilhjelm, Jens E.

Online Research Database In Technology

                       General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.  • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal   If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.     Downloaded from orbit.dtu.dk on: Apr 10, 2018Evaluation of respiratory motion correction in PET/CT using a 3D printed phantomVilsbøll, Josefine Holm; S. W. Hasler, Hasler; Duchstein, L. D. L.; Wilhjelm, Jens E.; Lonsdale, M. N.Publication date:2017Document VersionPublisher's PDF, also known as Version of recordLink back to DTU OrbitCitation (APA):Vilsbøll, J. H., S. W. Hasler, H., Duchstein, L. D. L., Wilhjelm, J. E., & Lonsdale, M. N. (2017). Evaluation ofrespiratory motion correction in PET/CT using a 3D printed phantom. Abstract from EANM'17, Vienna, Austria.Oral SessionsPS1 – Saturday, October 15, 2016, 09:00 - 16:00, Hall 115Pre-Congress Symposium 1: Imaging for Therapy with StatisticalSPECT/PET ReconstructionPS01General Introduction on Pre-Therapy Imaging for PredictingBiodistribution under TherapyG. Glatting; Medizinische Fakultät Mannheim der UniversitätHeidelberg, Medizinische Strahlenphysik/Strahlenschutz, Mannheim,GERMANY.PS02Introduction to Problems Related toQuantitative Imaging of SPECTand PETM. Ljungberg; Lund University, DeptMedical Radiation Physics, Lund,SWEDEN.PS03Statistical Reconstruction MethodsM. Defrise; UZ Brussel, Department Nuclear Medicine, Brussels,BELGIUM.PS04Compensation Methods in Statistical Reconstruction MethodsH. de Jong; UMC Utrecht, Utrecht, NETHERLANDS.PS05Quantitative Y-90 PET ImagingH. de Jong; UMC Utrecht, Utrecht, NETHERLANDS.PS06Quantitative Y-90 SPECT Bremsstrahlung ImagingM. Ljungberg; Lund University, DeptMedical Radiation Physics, Lund,SWEDEN.PS07Quantitative Lu-177 SPECT ImagingK. Sjögreen Gleisner; Lund University Hospital, Clinical Sciences,Lund, Medical Radiation Physics, Lund, SWEDEN.PS08Quantitative I-124 SPECT ImagingW. Jentzen; Klinik für Nuklearmedizin, Essen, GERMANY.PS09Quantitative I-131 SPECT ImagingY. K. Dewaraja;University ofMichigan, Department of Radiology, AnnArbor, UNITED STATES OFAMERICA.PS10Developments in New HardwareS. Walrand; Saint-Luc, Université Catholique de Louvain, NuclearMedicine Center, Brussels, BELGIUM.PS2 – Saturday, October 15, 2016, 09:00 - 12:00, Hall 111Pre-Congress Symposium 2: Radionuclide Therapies of BrainTumoursPS12WHO 2016 Classification of CNS Tumours; Incorporation ofDiagnostic and Prognostic Molecular MarkersP. Wesserling; Radboud UMC, Nijmegen, NETHERLANDS.PS13Challenges in Imaging for Diagnosis and Management of BrainTumoursA.Waldman; Charing Cross Hospital, Department of Imaging, London,UNITED KINGDOM.PS14The Potential of PET for Guiding Therapy in Brain TumoursK. Herholz; University Of Manchester, Wolfson Molecular ImagingCentre, Manchester, UNITED KINGDOM.PS16Surgical Management with Standard Techniques and NewApproachesJ. Barcia; Hospital Clínico San Carlos, Department of Neurosurgery,Madrid, SPAIN.PS17TreatmentManagement in Adults and Childrenwith Brain Tumours- Insight on Clinical TrialsA. Salmaggi; Ospedale di Lecco, Lecco, ITALY.PS18Radiotherapy and Brain Tumours - How and When?A. L. Grosu; University Medical Center Freiburg, Department ofRadiation Oncology, Freiburg, GERMANY.PS19Radionuclide Therapy in Brain TumoursF. Forrer; Kantonsspital St. Gallen, Department of Radiology andNuclear Medicine, St. Gallen, SWITZERLAND.PS4 – Saturday, October 15, 2016, 09:00 - 12:00, Hall 116Pre-Congress Symposium 4: Myocardial Perfusion Imaging inClinical Routine - From SPECT/PET to Hybrid ImagingPS20How to Speak Cardiology - Risk Factors, Medications, the ECG,Stress TestingH. Verberne; Academic Medical Center, Department of NuclearMedicine, Amsterdam, NETHERLANDS.PS21Clinical Indications for SPECT and PET MPI - Patient Selectiondelete etc.D. Wolinsky; Cleveland Clinic Florida, Weston, UNITED STATES OFAMERICA.S7Eur J Nucl Med Mol Imaging (2016) 43 (Suppl 1):S1–S734ity and the accuracy of activity quantification in the phantom background were measured at a sphere-to-background ratio of 5 and at lung-to-background activity ratios (LBR) of 0, 40, 120, 400, and 1200. Similar scans and subsequent nalyses were per-formed with 68Ga. All scans were repeated on the GE Discovery 710 (D710) PET/CT system and results compared to those ob-tained on the DMI. Results: With 68Ga and 124I, scatter appeared undercorrected on both the DMI and D710. A positive bias on activity quantification in the phantom background caused a contrast reduction between the spheres and the background at high LBRs. No spheres were visible at a LBR of 1200, the 3 (124I) to 4 (68Ga) largest spheres could be identified at a LBR of 400 whereas all spheres were visible with both 68Ga and 124I at low-er LBRs. The image quality was superior, background variabili-ty lower, and activity quantification more accurate on the DMI compared to the D710. With 68Ga there were no photopenic areas or any appreciable difference between results obtained with and without PGC-correction. PGC-correction on the DMI also had no noticeable impact on 124I-images. Photopenic areas were localized around the hot lung insert at LBRs > 40. However, these artefacts only had a minor impact on sphere detectability. Without PGC-correction enabled on the D710, scatter was sig-nificantly overcorrected in the center of images which caused large photopenic areas around the hot lung insert. PGC correc-tion acceptably solved the problem. Conclusion: The new GE Discovery MI PET/CT system provides acceptable activity quan-tification accuracy and image quality under challenging imag-ing conditions where high organ-to-background activity ratios stress the accuracy of scatter correction algorithms.OP-690Evaluation of respiratory motion correction in PET/CT using a 3D printed phantomJ. H. Vilsbøll1, S. W. Hasler1, L. D. L. Duchstein2, J. E. Wilhjelm1, M. N. Lonsdale2; 1Technical University of Denmark, Copenhagen, DENMARK, 2Bispebjerg and Frederiksberg Hospital, Copenhagen, DENMARK.Objective: Respiratory movement during PET/CT scan causes blurred images and misalignment between the two modali-ties. The aim of this study was to evaluate the performance of two motion correction algorithms, Q.Static (rejection of events during inhalation) and Q.Freeze (5 bin gated acquisition with subsequent alignment of PET and CT bins) in combination with an advanced PET reconstruction algorithm, Q.Clear. Meth-ods: A 3D printed phantom was designed with six cylindrical holes of varying diameter (3mm, 6mm and 10mm) and filled with 18F-FDG. The phantom was fixed on a motor simulating breathing cycles of a patient during a PET/CT study. Data was acquired on  GE Discovery 710 PET/CT equipped with a Varia  RPM respiratory gating system. PET acquisition was done in list-mode with motion tracking. CT was acquired as gated CT cine and conventional helical CT. PET data was reconstructed (using Q.Clear) with Q.Static and Q.Freeze for motion correction. As recommended for clinical studies, PET Q.Fr eze bin 50% and bin 70% w re combined with neighboring CT cine bins (40%/60% and 60%/80%, respectively). Q.Static PET was compared with the conventional helical CT. Using the known dimensions of the phantom, the extent and pixel values of the hot spots in the PET images and the misalignment (mean difference between cen-ter of hot spots) between PET and CT were evaluated. Results: The best alignment was found with PET Q.Freeze 50%/CT cine 40%, and PET Q.Freeze 70%/CT cine 60%. Compared to Q.Stat-ic/helical CT, misalignment dropped from 13.8mm to 2.7mm. A good match between bins in Q.Freeze PET and CT cine is crucial - misalignment for suboptimal matching was three times high-er than for PET Q.Freeze 70%/CT c ne 60%. The siz  of the hot spots in axial PET images was robust and more or less indepen-dent of reconstruction or slice location. Furthermore, intensity of the hot spots was reduced in Q.Freeze reconstructions, and the highest intensities were found in Q.Static reconstructions. Conclusion: These results show that motion correction with Q.Freez  reconstructi n is effectiv  nd performs better than Q.Static, but the matching of bins and decrease in intensity is important to keep in mind.OP-691Evaluation of the Impact of Using TOF Technique on Metal rtifact Reduction in PET/CT ImagesR. Sharifpour1,2, P. Ghafarian3,4, M. R. AY1,2; 1Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, IRAN, ISLAMIC REPUBLIC OF, 2Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, IRAN, ISLAMIC REPUBLIC OF, 3Chronic Respiratory Dise ses Research Center, Nati nal Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Tehran, IRAN, ISLAMIC REPUBLIC OF, 4PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, IRAN, ISLAMIC REPUBLIC OF.Purpose: The potentials of new technique like time of flight (TOF) can positively affect metal induced artifact in PET/CT im-aging. The aim of this study was to evaluate the impact of TOF reconstruction on reduction of metal artifact in PET/CT images. Subjects and Methods: NEMA IEC body phantom with 2:1 ac-tivity ratio was used in this study. In the first step, the phantom was adapted to hold an ICD on removable lung insert and in the second step, pacemaker generator was also fastened to the int rnal wall of phantom. Both ICD nd battery ge erator were placed opposite to the sphere with 13 mm in diameter. The phantom was scanned by Discovery 690 GE PET/CT scanner, equipped with 64-slice CT. The PET images were retrospectively reconstructed using two reconstruction algorithms, including non-TOF (routine protocol in our department: OSEM+PSF with 3itrations, 18subsets, 6.4 mm post-smoothing filter) and TOF (TOF+OSEM+PSF: 2itrations, 18subsets, 6.4 mm post-smooth-ing filter).  All images were quantitatively analyzed using the CT number, SUVmax and SUVmean. Results: In analysis of hot spheres of phantom, spheres with 13 and 17 mm in diameter more than the other affected by streak artifact. The relative differences of maximum CT number in these two spheres between im-age with metal artifact and image without metal artifact were S363 Eur J Nucl Med Mol Imaging (2017) 44 (Suppl 2):S119–S956 

Evaluation of respiratory motion correction in PET/CT using a 3D printed phantom

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Evaluation of respiratory motion correction in PET/CT using a 3D printed phantom

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