Browsing by Author "Ilıcak, Efe"
Now showing items 1-6 of 6
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Adaptive reconstruction for vessel preservation in unenhanced MR angiography
(IEEE, 2016)The image quality of unenhanced magnetic resonance angiography, which images blood vessels without contrast agents, is limited by constraints related to scan time. To address this problem, techniques that undersample ... -
Compressed sensing techniques for accelerated magnetic resonance imaging
(Bilkent University, 2017-07)Magnetic resonance imaging has seen a growing interest in the recent years due to its non-invasive and non-ionizing nature. However, imaging speed remains a major concern. Recently, compressed sensing theory has opened ... -
Huber function based reconstruction in accelerated phase-cycled bSSFP acquisitions for increased detection performance
(IEEE, 2017)Balanced steady-state free precession imaging suffers from irrecoverable signal losses, called banding artifacts. A common way to alleviate banding artifacts without sacrificing scan-efficiency is to use multiple-acquisition ... -
Projection onto epigraph sets for rapid self-tuning compressed sensing MRI
(IEEE, 2019)The compressed sensing (CS) framework leverages the sparsity of MR images to reconstruct from undersampled acquisitions. CS reconstructions involve one or more regularization parameters that weigh sparsity in transform ... -
Reconstruction by calibration over tensors for multi-coil multi-acquisition balanced SSFP imaging
(John Wiley & Sons, 2018)Purpose: To develop a rapid imaging framework for balanced steady-state free precession (bSSFP) that jointly reconstructs undersampled data (by a factor of R) across multiple coils (D) and multiple acquisitions (N). To ... -
Scalable learning-based sampling optimization for compressive dynamic MRI
(IEEE, 2020)Compressed sensing applied to magnetic resonance imaging (MRI) allows to reduce the scanning time by enabling images to be reconstructed from highly undersampled data. In this paper, we tackle the problem of designing a ...
