Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations
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Abstract (arXiv)
Human body is a complex dynamic system composed of various sub-dynamic parts. Especially, thoracic and abdominal organs have complex internal shape variations with different frequencies by various reasons such as respiration with fast motion and peristalsis with slower motion. CT protocols for abdominal lesions are multi-phase scans for various tumor detection to use different vascular contrast, however, they are not aligned well enough to visually check the same area. In this paper, we propose a time-efficient and accurate deformable registration algorithm for multi-phase CT scans considering abdominal organ motions, which can be applied for differentiable or non-differentiable motions of abdominal organs. Experimental results shows the registration accuracy as 0.85 +/- 0.45mm (mean +/- STD) for pancreas within 1 minute for the whole abdominal region.
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References · 4
- 2019Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfacescited by 186
- 2018Learning a Probabilistic Model for Diffeomorphic Registrationcited by 62
- 2018Abdominal multi-organ segmentation with organ-attention networks and statistical fusioncited by 46
- 2018BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networkscited by 28
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