Influence of PET reconstruction para meters on the TrueX algorithm

Summary

With the increasing use of functional imaging in modern radiotherapy (RT) and the envisaged automated integration of PET into target definition, the need for reliable quantification of PET is growing. Reconstruction algorithms in new PET scanners employ pointspread-function (PSF) based resolution recovery, however, their impact on PET quantification still requires thorough investigation. Patients, material, methods: Measurements were performed on a Siemens PET/CT using an IEC phantom filled with varying activity. Data were reconstructed using the OSEM (Gauss filter) and the PSF TrueX (Gauss and Allpass filter) algorithm with all available products of iterations (i) and subsets (ss). The recovery coeffcient (RC) and threshold defining the real sphere volume were determined for all settings and compared to the clinical standard (4i21ss). PET acquisitions of eight lung patients were reconstructed using all algorithms with 4i21ss. Volume size and tracer uptake were determined with different segmentation methods. Results: The threshold for the TrueX was lower (up to 40%) than for the OSEM. The RC for the different algorithms and filters varied. TrueX was more sensitive to permutations of i and ss and only the RC of the OSEM stabilised with increasing number. For patient scans the difference of the volume and activity between TrueX and OSEM could be reduced by applying an adapted threshold and activity correction. Conclusion: The TrueX algorithm results in excellent diagnostic image quality, however, guidelines for native algorithms have to be extended for PSF based reconstruction methods. For appropriate tumour delineation, for the TrueX a lower threshold than the 42% recommended for the OSEM is necessary. These filter dependent thresholds have to be verified for different scanners prior to using them in multicenter trials.

Zusammenfassung

Die immer größer werdende Bedeutung funktionaler Bildgebung in der modernen Strahlentherapie und die geplante automatische Integration von PET-Bildgebung in die Ziel - volumendefinition erfordert verlässliche Quantifizierung von PET-Bildern. Rekonstruktionsalgorithmen in neuen PET-Scannern beinhalten eine Point-Spread-Function(PSF)-basierte Auflösungskorrektur, deren Einfluss auf PETQuantifizierung noch sorgfältiger Untersuchung bedarf. Patienten, Material, Methoden: Messungen erfolgten an einem Siemens PET/ CT mit einem IEC-Phantom, gefüllt mit variierender Aktivität. Aus den Daten wurden mittels OSEM- (Gauss-Filter) und PSF-basiertem TrueX-Algorithmus (Gauss- und Allpass-Filter) Bilder mit sämtlichen Kombinationen von Iterationen (i) und Subsets (ss) rekonstruiert. Recovery-Koeffizient (RC) und Schwellwert, die zum wahren Volumen führen, wurden für alle Einstellungen bestimmt und mit dem klinischen Standard (4i21ss) verglichen. Volumen und Traceraufnahme wurden mit Hilfe unterschiedlicher Segmentierungsverfahren bestimmt. Ergebnisse: Der Schwellwert für TrueX war niedriger (bis 40%) als für OSEM. Der RC hingegen variierte für verschiedene Algorithmen und Filter, wenngleich TrueX sensitiver gegenüber Permutationen von i und ss war. Lediglich der RC des OSEM stabilisierte sich mit steigender Anzahl von i und ss. Für Patientenscans konnte der Unterschied zwischen TrueX und OSEM in Volumen und Aktivität durch die Anwendung eines adaptierten Schwellwertes und einer Aktivitätskorrektur reduziert werden. Schlussfolgerung: Der TrueX- Algorithmus zeigt exzellente diagnostische Bildqualität, jedoch müssen Richtlinien für traditionelle Algorithmen erweitert werden, um auf PSF-basierte Rekonstruktionsmethoden angewendet werden zu können. Für die adäquate Einzeichnung des Tumors wird für TrueX ein niedrigerer Schwellwert als 42% benötigt, wie er für den OSEM-Algorithmus empfohlen wird. Derartige filterabhängige Schwellwerte müssen für unterschiedliche Scanner verifiziert werden, bevor sie in multizentrischen Studien verwendet werden können.

Keywords

Reconstruction algorithms - TrueX - recovery coefficient - phantom measurements - segmentation

Schlüsselwörter

Rekonstruktionsalgorithmen - TrueX - Recovery-Koeffizient - Phantom-Messungen - Segmentierung

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