Program Information
Results of a Multi-Institutional Study for the Evaluation of Deformable Image Registration Algorithms for Structure Delineation Via Computational Phantoms
C Fiandra1*, G Loi2 , M Fusella2 , E Lanzi3 , F Rosica4 , L Strigari5 , L Orlandini6 , E Gino7 , A Roggio8 , F Marcocci9 , G Iacovello10 , R Miceli11 , (1) University of Torino, Torino, ,(2) A.O.U. Maggiore della Carita Novara, (3) Tecnologie Avanzate Srl, Torino, ,(4) G. Mazzini Hospital, Teramo, TE, (5) Regina Elena National Cancer Institute- IFO, Rome, ,(6) Centro Oncologico Fiorentino, Firenze, ,(7) A.O. Ordine Mauriziano di Torino, Torino, ,(8) Istituto Oncologico Veneto IOV, Padova, ,(9) Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IR, Meldola, ,(10) Arnas Civico, Palermo, ,(11) Tor Vergata University General Hospital, Roma, Italy
Presentations
WE-AB-BRA-8 (Wednesday, July 15, 2015) 7:30 AM - 9:30 AM Room: Ballroom A
Purpose: To investigate the accuracy of various algorithms for deformable image registration (DIR), to propagate regions of interest (ROIs) in computational phantoms based on patient images using different commercial systems. This work is part of an Italian multi-institutional study to test on common datasets the accuracy, reproducibility and safety of DIR applications in Adaptive Radiotherapy.
Methods: Eleven institutions with three available commercial solutions provided data to assess the agreement of DIR-propagated ROIs with automatically drown ROIs considered as ground-truth for the comparison. The DIR algorithms were tested on real patient data from three different anatomical districts: head and neck, thorax and pelvis. For every dataset two specific Deformation Vector Fields (DVFs) provided by ImSimQA software were applied to the reference data set. Three different commercial software were used in this study: RayStation, Velocity and Mirada. The DIR-mapped ROIs were then compared with the reference ROIs using the Jaccard Conformity Index (JCI).
Results: More than 600 DIR-mapped ROIs were analyzed. Putting together all JCI data of all institutions for the first DVF, the mean JCI was 0.87 ± 0.7 (1 SD) while for the second DVF JCI was 0.8 ± 0.13 (1 SD). Several considerations on different structures are available from collected data: the standard deviation among different institutions on specific structure raise as the larger is the applied DVF. The higher value is 10% for bladder.
Conclusion: Although the complexity of deformation of human body is very difficult to model, this work illustrates some clinical scenarios with well-known DVFs provided by specific software. CI parameter gives the inter-user variability and may put in evidence the need of improving the working protocol in order to reduce the inter-institution JCI variability.
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