naa a22 4500 510808360 CHVBK 20180411083429.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s11548-012-0777-3 doi (NATIONALLICENCE)springer-10.1007/s11548-012-0777-3 Hybrid image visualization tool for 3D integration of CT coronary anatomy and quantitative myocardial perfusion PET [Elektronische Daten] [Martina Marinelli, Vincenzo Positano, Stephan Nekolla, Paolo Marcheschi, Giancarlo Todiere, Natalia Esposito, Stefano Puzzuoli, Giuseppe L'Abbate, Paolo Marraccini, Danilo Neglia] Purpose: Multimodal cardiac imaging by CTA and quantitative PET enables acquisition of patient-specific coronary anatomy and absolute myocardial perfusion at rest and during stress. In the clinical setting, integration of this information is performed visually or using coronary arteries distribution models. We developed a new tool for CTA and quantitative PET integrated 3D visualization, exploiting XML and DICOM clinical standards. Methods: The hybrid image tool (HIT) developed in the present study included four main modules: (1) volumetric registration for spatial matching of CTA and PET data sets, (2) an interface to PET quantitative analysis software, (3) a derived DICOM generator able to build DICOM data set from quantitative polar maps, and (4) a 3D visualization tool of integrated anatomical and quantitative flow information. The four modules incorporated in the HIT tool communicate by defined standard XML files: XML-transformation and XML MIST standards. Results: The HIT tool implements a 3D representation of CTA showing real coronary anatomy fused to PET-derived quantitative myocardial blood flow distribution. The technique was validated on 16 data sets from EVINCI study population. The validation of the method confirmed the high matching between "original” and derived data sets as well as the accuracy of the registration procedure. Conclusions: Three-dimensional integration of patient- specific coronary artery anatomy provided by CTA and quantitative myocardial blood flow obtained from PET imaging can improve cardiac disease assessment. The HIT tool introduced in this paper may represent a significant advancement in the clinical use of this multimodal approach. CARS, 2012 CAD nationallicence Hybrid imaging nationallicence Myocardial flow reserve nationallicence XML nationallicence 3D visualization nationallicence Marinelli Martina Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut Positano Vincenzo Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut Nekolla Stephan Nuklearmedinische Klinik der TU München, Ismaningerstr. 22, 81675, Munich, Germany aut Marcheschi Paolo Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut Todiere Giancarlo Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut Esposito Natalia Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut Puzzuoli Stefano Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut L'Abbate Giuseppe Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut Marraccini Paolo Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut Neglia Danilo Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/2(2013-03-01), 221-232 1861-6410 8:2<221 2013 8 11548 https://doi.org/10.1007/s11548-012-0777-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-012-0777-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Marinelli Martina Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- Positano Vincenzo Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- Nekolla Stephan Nuklearmedinische Klinik der TU München, Ismaningerstr. 22, 81675, Munich, Germany aut NATIONALLICENCE 700 1- Marcheschi Paolo Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- Todiere Giancarlo Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- Esposito Natalia Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- Puzzuoli Stefano Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- L'Abbate Giuseppe Fondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- Marraccini Paolo Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 700 1- Neglia Danilo Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124, Pisa, Italy aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/2(2013-03-01), 221-232 1861-6410 8:2<221 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer