Motion compensation for cone-beam CT using Fourier consistency conditions
Autor: | Mathias Unberath, Christian Riess, W Aichinger, K Mentl, Yan Xia, Joachim Hornegger, Anatol Maier, Martin Berger, André Aichert, Rebecca Fahrig |
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Rok vydání: | 2017 |
Předmět: |
Image quality
Motion (geometry) Iterative reconstruction Article Imaging phantom 030218 nuclear medicine & medical imaging Weight-Bearing Motion 03 medical and health sciences symbols.namesake 0302 clinical medicine Image Processing Computer-Assisted Humans Knee Radiology Nuclear Medicine and imaging Computer vision Physics Motion compensation Radiological and Ultrasound Technology Phantoms Imaging business.industry Detector Cone-Beam Computed Tomography Fourier transform 030220 oncology & carcinogenesis Rotational angiography symbols Artificial intelligence Artifacts business Algorithms |
Zdroj: | Physics in Medicine & Biology. 62:7181-7215 |
ISSN: | 1361-6560 |
Popis: | In cone-beam CT, involuntary patient motion and inaccurate or irreproducible scanner motion substantially degrades image quality. To avoid artifacts this motion needs to be estimated and compensated during image reconstruction. In previous work we showed that Fourier consistency conditions (FCC) can be used in fan-beam CT to estimate motion in the sinogram domain. This work extends the FCC to [Formula: see text] cone-beam CT. We derive an efficient cost function to compensate for [Formula: see text] motion using [Formula: see text] detector translations. The extended FCC method have been tested with five translational motion patterns, using a challenging numerical phantom. We evaluated the root-mean-square-error and the structural-similarity-index between motion corrected and motion-free reconstructions. Additionally, we computed the mean-absolute-difference (MAD) between the estimated and the ground-truth motion. The practical applicability of the method is demonstrated by application to respiratory motion estimation in rotational angiography, but also to motion correction for weight-bearing imaging of knees. Where the latter makes use of a specifically modified FCC version which is robust to axial truncation. The results show a great reduction of motion artifacts. Accurate estimation results were achieved with a maximum MAD value of 708 μm and 1184 μm for motion along the vertical and horizontal detector direction, respectively. The image quality of reconstructions obtained with the proposed method is close to that of motion corrected reconstructions based on the ground-truth motion. Simulations using noise-free and noisy data demonstrate that FCC are robust to noise. Even high-frequency motion was accurately estimated leading to a considerable reduction of streaking artifacts. The method is purely image-based and therefore independent of any auxiliary data. |
Databáze: | OpenAIRE |
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