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Congyu Liao

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Articles 53
Citations 542
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Recent Articles
1.
Hu J, Zhou J, Liao C, Wang Y, Hao X, Qiu B
Annu Int Conf IEEE Eng Med Biol Soc . 2025 Mar; 2024:1-4. PMID: 40040058
Three-dimensional (3D) cardiac magnetic resonance T2 mapping has been proven beneficial for the diagnosis of myocardial edema. However, the time-consuming nature of cardiac quantitative imaging (e.g., T2 mapping) poses challenges...
2.
Schauman S, Iyer S, Sandino C, Yurt M, Cao X, Liao C, et al.
MAGMA . 2025 Feb; PMID: 39891798
Object: Spatio-temporal MRI methods offer rapid whole-brain multi-parametric mapping, yet they are often hindered by prolonged reconstruction times or prohibitively burdensome hardware requirements. The aim of this project is to...
3.
Cao X, Liao C, Zhu Z, Li Z, Bhattacharjee R, Nishmura M, et al.
Magn Reson Med . 2025 Jan; PMID: 39815710
Purpose: To provide a fast quantitative imaging approach for a 0.55T scanner, where signal-to-noise ratio is limited by the field strength and k-space sampling speed is limited by a lower...
4.
Yarach U, Chatnuntawech I, Liao C, Teerapittayanon S, Iyer S, Kim T, et al.
Magn Reson Imaging . 2024 Nov; 115:110277. PMID: 39566835
Purpose: BUDA-cEPI has been shown to achieve high-quality, high-resolution diffusion magnetic resonance imaging (dMRI) with fast acquisition time, particularly when used in conjunction with S-LORAKS reconstruction. However, this comes at...
5.
Huang J, Wu Y, Wang F, Fang Y, Nan Y, Alkan C, et al.
IEEE Rev Biomed Eng . 2024 Oct; 18:152-171. PMID: 39437302
Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended scanning times often compromise patient comfort and image quality, especially in volumetric, temporal and quantitative scans. This...
6.
Liu Y, Liao C, Setsompop K, Haldar J
IEEE Trans Comput Imaging . 2024 Sep; 10:223-232. PMID: 39280790
In modern magnetic resonance imaging, it is common to use phase constraints to reduce sampling requirements along Fourier-encoded spatial dimensions. In this work, we investigate whether phase constraints might also...
7.
Wang N, Liao C, Cao X, Nishimura M, Brackenier Y, Yurt M, et al.
Magn Reson Med . 2024 Sep; 93(1):121-137. PMID: 39250435
Purpose: To develop a 3D spherical EPTI (sEPTI) acquisition and a comprehensive reconstruction pipeline for rapid high-quality whole-brain submillimeter and QSM quantification. Methods: For the sEPTI acquisition, spherical k-space coverage...
8.
Alkan C, Mardani M, Liao C, Li Z, Vasanawala S, Pauly J
IEEE Trans Med Imaging . 2024 Aug; 44(1):270-283. PMID: 39146168
Accelerated MRI protocols routinely involve a predefined sampling pattern that undersamples the k-space. Finding an optimal pattern can enhance the reconstruction quality, however this optimization is a challenging task. To...
9.
Yablonski M, Zhou Z, Cao X, Schauman S, Liao C, Setsompop K, et al.
bioRxiv . 2024 Jul; PMID: 38979185
Developmental cognitive neuroscience aims to shed light on evolving relationships between brain structure and cognitive development. To this end, quantitative methods that reliably measure individual differences in brain tissue properties...
10.
Yang H, Wang G, Li Z, Li H, Zheng J, Hu Y, et al.
MAGMA . 2024 Jun; 37(3):383-396. PMID: 38922525
Object: To review recent advances of artificial intelligence (AI) in enhancing the efficiency and throughput of the MRI acquisition workflow in neuroimaging, including planning, sequence design, and correction of acquisition...