Targeted vessel reconstruction in non-contrast-enhanced steady-state free precession angiography
| Autor: | Suheyla Cetin, Elif Bulut, Emine Ulku Saritas, Kader Karli Oguz, Gozde Unal, Tolga Çukur, Efe Ilicak |
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| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test Image quality Computer science business.industry Magnetic resonance angiography 030218 nuclear medicine & medical imaging Weighting 03 medical and health sciences 0302 clinical medicine Compressed sensing Angiography medicine Molecular Medicine Radiology Nuclear Medicine and imaging Computer vision Non contrast enhanced Segmentation Radiology Artificial intelligence Steady state free precession business 030217 neurology & neurosurgery Spectroscopy |
| Zdroj: | NMR in Biomedicine. 29:532-544 |
| ISSN: | 0952-3480 |
| DOI: | 10.1002/nbm.3497 |
| Popis: | Image quality in non-contrast-enhanced (NCE) angiograms is often limited by scan time constraints. An effective solution is to undersample angiographic acquisitions and to recover vessel images with penalized reconstructions. However, conventional methods leverage penalty terms with uniform spatial weighting, which typically yield insufficient suppression of aliasing interference and suboptimal blood/background contrast. Here we propose a two-stage strategy where a tractographic segmentation is employed to auto-extract vasculature maps from undersampled data. These maps are then used to incur spatially adaptive sparsity penalties on vascular and background regions. In vivo steady-state free precession angiograms were acquired in the hand, lower leg and foot. Compared with regular non-adaptive compressed sensing (CS) reconstructions (CSlow ), the proposed strategy improves blood/background contrast by 71.3 ± 28.9% in the hand (mean ± s.d. across acceleration factors 1-8), 30.6 ± 11.3% in the lower leg and 28.1 ± 7.0% in the foot (signed-rank test, P < 0.05 at each acceleration). The proposed targeted reconstruction can relax trade-offs between image contrast, resolution and scan efficiency without compromising vessel depiction. |
| Databáze: | OpenAIRE |
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