Program Information
Evaluation of Deformable Registration for Correcting Respiratory Motion in 4DCT Lung Images
A Larrue1*, W van Elmpt2 , F Kaster1 , T Kadir1 , M Gooding1 , (1) Mirada Medical Ltd., Oxford, Oxfordshire,(2) Maastricht University Medical Centre, Maastricht (
Presentations
SU-E-J-173 Sunday 3:00PM - 6:00PM Room: Exhibit HallPurpose:
Deformable Image Registration (DIR) is gaining wider clinical acceptance in radiation oncology. The aim of this work is to characterise a DIR algorithm on publically available 4DCT lung images, such that comparison can be performed against other algorithms. We propose an evaluation method of registration accuracy that takes into account the initial misregistration of the datasets.
Methods:
The “DIR Validation dataset†(http://www.creatis.insa-lyon.fr/rio/dir_validation_data) provides benchmark data for evaluating 3D CT registration algorithms. It consists of six 4DCT lung datasets (1x1x2mm resolution) with 100 landmarks identified on the end-exhalation and end-inhalation phases. Images were registered to end-inhalation using proprietary form of optical flow in commercial software (Mirada RTx, Mirada Medical, UK). Target registration error was measured before and after DIR, referred to as Initial Registration Error (IRE) and Final Registration Error (FRE).
Results:
The mean FRE over all landmarks was 1.37±1.81mm. FRE increased with IRE. Mean FRE of 0.86, 0.86, 1.53, 3.38, 4.45, 7.58mm was observed for IRE in the ranges 0-5, 5-10, 10-15, 15-20, 20-25, >25 mm. Higher FRE was observed at the inferior lung, where IRE was greater. Out-of-plane motion contributed more to IRE, and therefore to FRE. Maximum FRE of 20.6mm was observed for IRE of 32.1mm, located at the posterior of the middle lobe for dataset 2. Sub-voxel registration accuracy was achieved for up to 10mm IRE, and increased linearly at 0.3mm FRE/mm IRE thereafter.
Conclusion:
Publicly available clinical datasets enable algorithms to be compared objectively between publications. However, only reporting average TRE after registration can be misleading as the ability of an algorithm to correct for displacements varies with the IRE or position within the patient. Consequently, algorithms should be characterized using the entire range of initial displacements. For the algorithm assessed, clinically acceptable error within one voxel was achieved for IRE of up to 15mm.
Funding Support, Disclosures, and Conflict of Interest: TK, AL, and MG are employees of Mirada Medical
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