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Automatic landmark generation for deformable image registration evaluation for 4D CT images of lung

2016; IOP Publishing; Volume: 61; Issue: 20 Linguagem: Inglês

10.1088/0031-9155/61/20/7236

1361-6560

Jason Vickress, Jerry Battista, Rebecca Barnett, Josh Morgan, Slav Yartsev,

Radiomics and Machine Learning in Medical Imaging

Deformable image registration (DIR) has become a common tool in medical imaging across both diagnostic and treatment specialties, but the methods used offer varying levels of accuracy. Evaluation of DIR is commonly performed using manually selected landmarks, which is subjective, tedious and time consuming. We propose a semi-automated method that saves time and provides accuracy comparable to manual selection.