| 13:45 | | IntroductionRuud van Heeswijk Lausanne University Hospital (CHUV), Switzerland |
| 13:57 | 0145.
 | Simultaneous 3D CEST imaging of phosphocreatine and glycogen in skeletal muscle at 5T Xi Xu1,2, Xinran Chen3, Yuanyuan Liu1, Chongxue Bie1, Siqi Cai1,2, Hao Wu1, Dong Liang1, Hairong Zheng1, Yang Zhou1, and Yanjie Zhu1
1Shenzhen Institute of Advanced Technology, ShenZhen, China, 2University of Chinese Academy of Sciences, BeiJing, China, 3Department of Electronic Science, Xiamen University, Xiamen, China Keywords: Quantitative Imaging, CEST & MT Motivation: The metabolic heterogeneities in human are high, it is crucial to improve the slice-encoding coverage in phosphocreatine and glycogen mapping. Goal(s): To develop a 3D-CEST sequence for simultaneous mapping of phosphocreatine and glycogen within the acceptable time. Approach: The optimal sequence using stack-of-star readouts was applied. The patch-based low-rank reconstruction was introduced to accelerate the scan. The concentrations were quantified with ex-vivo and in-vivo experiments. Results: The coverage in slice-encoding dimension was improved to 140 mm. The scan time was reduced from 41.8 to 11.2 minutes. The concentrations of PCr and glycogen were 36.8 ± 14.4 mM and 80.4 ± 12.5 mM, respectively. Impact: This study demonstrates
the feasibility of a 3D-CEST imaging method that simultaneously quantifies
phosphocreatine and glycogen in skeletal muscle at 5T. It can be accomplished
within 11.2 minutes using patch-based low-rank reconstruction. It shows great
potential in evaluateing metabolic heterogeneities. |
| 14:09 | 0146.
 | Hybrid Multi-Echo Radial Look-Locker (hME-rLL) Acquisition for Joint Estimation of water-T1, PDFF, and R2* Eze Ahanonu1, Ute Goerke2, Brian Toner3, Kevin Johnson4, Vibhas Deshpande5, Shu-Fu Shih6, Xiaodong Zhong6, Holden Wu6, Ali Bilgin1,7, and Maria Altbach8
1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Siemens Healthineers, Tucson, AZ, United States, 3Applied Mathematics, University of Arizona, Tucson, AZ, United States, 4Department of Medical Imaging, University of Arizona, Tucson, AZ, United States, 5Siemens Healthineers, Austin, TX, United States, 6Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 7Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 8Medical Imaging, University of Arizona, Tucson, AZ, United States Keywords: Quantitative Imaging, Liver, T1 mapping, R2* mapping, PDFF mapping Motivation: Reducing the time required to achieve comprehensive liver evaluation will improve scanning efficiency and increase access to non-invasive diagnostic tools Goal(s): To develop an acquisition protocol which allows accurate estimation of water-only T1 ($$$T1w$$$), PDFF, and R2* Approach: Combing dual-echo and extended-echo (>2) readout into a single acquisition, using the extended-echo acquisition to estimate the field-map, R2*, and PDFF. Then using the R2* and field maps to perform fat/water decomposition on the dual-echo acquisition for $$$T1w$$$ estimation. Results: Both phantom and in vivo results demonstrated that $$$T1w$$$, R2*, and PDFF can be accurately estimated using the proposed approach. Impact: Increasing the efficiency of MRI sequence and protocols
allows for reduced scan time and improved scanner efficiency. These contributions
make the diagnostic process easier for patients and physicians, which should
result in improved healthcare. |
| 14:21 | 0147.
 | In Vivo Monitoring of Renal Tubule Volume Fraction During Acute Tubular Pressure Increase Using Dynamic T2 Mapping Ehsan Tasbihi1,2, Thomas Gladytz1, Jason M. Millward1, Joāo Periquito1, Ludger Starke1,3, Sonia Waiczies1, Kathleen Cantow4, Erdmann Seeliger4, and Thoralf Niendorf1
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Charité – Universitätsmedizin, Berlin, Germany, 3Hasso Plattner Institute for Digital Engineering, University of Potsdam, Germany, Potsdam, Germany, 4Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany Keywords: Quantitative Imaging, Kidney, tubule volume fraction, MRI, T2 mapping, multi-exponential analysis Motivation: The increasing incidence of kidney diseases is a global concern and current biomarkers are inadequate. Changes in renal tubule volume fraction (TVF) may serve as a rapid biomarker for kidney disease and provide a better understanding of renal (patho-)physiology. Goal(s): This study aims to measure TVF in in vivo rat kidney during acute tubular pressure increase. Approach: This study uses the amplitude of the long T2-component as a surrogate for TVF in rats, by applying multiexponential analysis of the T2-driven signal decay. Results: The results demonstrate that our approach is promising for research into quantitative assessment of renal TVF in in vivo applications. Impact: This
is the first report on in vivo assessment of relative changes in the renal TVF,
which provides a potential rapid, noninvasive marker for kidney disease. This
approach will be invaluable for gaining a better mechanistic understanding of
renal (patho-)physiology. |
| 14:33 | 0148.
 | Reduced gadolinium dose by an optimized multi-parametric MR-STAT protocol Fei Xu1, Edwin Versteeg1, Hongyan Liu1, Miha Fuderer1, Stefano Mandija1, Oscar van den Heide1, Vera C. Keil2, Anja van der Kolk3,4, Jan Willem Dankbaar5, Sarah M. Jacobs3, Tom J. Snijders6, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1
1Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands, 3Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 4Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 5Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 6Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands Keywords: Quantitative Imaging, Quantitative Imaging, MR-STAT; Contrast Enhancement Imaging Motivation: Several concerns have been raised about the harmful effects of gadolinium-based contrast agent (GBCA) usage during MRI exams. Goal(s): To reduce the GBCA dose in MRI protocols. Approach: We developed an optimized and fast MR-STAT protocol for “pre- and post-injection” quantitative MRI and applied it to two retrospective simulated patient datasets and one prospective in-vivo scan. Results: The inferred lesion masks generated by comparing “pre- and post-injection” T1 maps demonstrated that the proposed relaxometry-based method was able to correctly detect the lesions. Furthermore, the performance for the low-dose protocol was comparable to that of the full-dose one. Impact: The quantification of T1
changes after administering GBCA by using the accelerated MR-STAT protocol potentially
enables a substantial reduction in both GBCA dose and acquisition time in
clinical protocols. |
| 14:45 | 0149.
 | Black blood cine vessel wall imaging based dynamic quantitative mapping of carotid artery vessel wall Ning Xu1, Shuo Chen1, Huiyu Qiao1, Zhongsen Li1, Ziming Xu1, Shuwan Yu1, Jiachen Liu1, Rui Shen1, Xinyu Tong1, and Xihai Zhao1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine Tsinghua Univeristy, Beijing, China Keywords: Quantitative Imaging, Quantitative Imaging, vessel wall imaging Motivation: Dynamic quantitative carotid artery vessel wall imaging can effectively reduce the blurring effect caused by vascular pulsation. Goal(s): This study aims to develop a black blood cine sequence based dynamic quantitative carotid artery vessel wall imaging method. Approach: A VFA and ViMSDE duration-based BB cine quantitative sequence was proposed to acquire dynamic multi-contrast images. Dictionary matching method was introduced to estimate quantitative parameters from complicate signal equation. Results: The proposed protocol was in excellent agreement with standard mapping sequence in both phantom and volunteer experiment. Dynamic T1 and T2 maps has shown its potential in eliminating pulsation resulting blurring Impact: Dynamic T1 and T2 maps can be acquired with less pulsation related blurring. Dynamic and accurate quantitative information is expected to better assist clinical decision-making. |
| 14:57 | 0150.
 | Fast mapping of simultaneous M0, T1, T2, T2*, B1, and ΔB0 using SSFP-based Multiple Overlapping-Echo Detachment Imaging Jingying Yang1, Qinqin Yang1, Weikun Chen1, Liuhong Zhu2, Zhigang Wu3, Yudan Zhou1, Jianjun Zhou2, Zhong Chen1, Shuhui Cai1, and Congbo Cai1
1Xiamen University, Xiamen, China, 2Department of Radiology, Zhongshan Hospital (Xiamen) Fudan University, Xiamen, China, 3Clinical & Technical Support, Philips Healthcare, China Keywords: Pulse Sequence Design, Quantitative Imaging Motivation: Long acquisition times have hindered many quantitative magnetic resonance imaging methods. Goal(s): In order to reduce the collection time, we propose a rapid and quantitative method for multi-parameter quantification. Approach: Multiple overlapping echo detachment (MOLED) imaging can enable multiparametric quantitative mapping for a single slice in just hundreds of milliseconds. To achieve simultaneous quantitative imaging of M0, T1, T2, T2*, B1, and ΔB0, we proposed the SSFP-MOLED method. Results: The results of both phantom and vivo experiments on a 3T whole-body scanner demonstrate that our method can accurately quantify multiple parameters, indicating promising clinical applications. Impact: We
present a novel and efficient mapping method for multiparametric MRI (M0, T1,
T2, T2*, B1, and ΔB0). This method not only enhances the efficiency of data
collection for clinicians but also improves the diagnostic reliability of
multi-center hospitals. |
| 15:09 | 0151.
 | Water/fat separated Echo Planar Time-resolved Imaging (EPTI) for efficient distortion-free multi-contrast imaging Zhangxuan Hu1,2, Zijing Dong1,2, Timothy G. Reese1,2, Lawrence L. Wald1,2,3, Jonathan R. Polimeni1,2,3, and Fuyixue Wang1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States Keywords: Fat & Fat/Water Separation, Fat Motivation: Echo Planar Time-resolved Imaging (EPTI) can produce distortion- and blurring-free multi-echo images with high efficiency. For its broader application such as in body imaging, the challenge of fat suppression/separation needs to be addressed. Goal(s): Achieving efficient water/fat separation using EPTI for high-quality fast multi-contrast/quantitative imaging in the presence of fat tissues. Approach: In this study, water/fat separated EPTI (WFS-EPTI) was proposed to achieve this by: (1) designing a novel in-phase and out-of-phase EPTI acquisition and encoding scheme; and (2) adopting a k-space-based water/fat separation method. Results: Experimental results demonstrated the efficacy of WFS-EPTI for water/fat separation and fat-robust distortion-free multi-contrast/quantitative imaging. Impact: The proposed WFS-EPTI effectively separates water and fat signals, while providing efficient acquisition of high-resolution, distortion-free multi-contrast images and quantitative maps. It can extend EPTI to a broader range of applications. |
| 15:21 | 0152.
 | A MR Fingerprinting Development Kit (MRFDK) for Quantitative 3D Brain Imaging Rasim Boyacioglu1, Thomas Kluge2, Guido Buonincontri2, Wei-Ching Lo3, Stephan Kannengiesser2, Mathias Nittka2, Dan Ma4, Mark A Griswold1, and Yong Chen1
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Siemens Healthineers AG, Erlangen, Germany, 3Siemens Medical Solutions USA, Boston, MA, United States, 4Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States Keywords: MR Fingerprinting, MR Fingerprinting Motivation: MRF acquisitions rely on offline reconstructions due to their computationally intensive processing pipelines which hinders integration into clinical workflows. Goal(s): To introduce and test a development kit for MRF, enabling 1) efficient whole brain 3D MRF acquisitions, 2) embedded dictionary calculation, and 3) rapid online post-processing. Approach: The method was evaluated with phantom and in vivo brain imaging for multiple MRF variants and receive coils. Results: Due to full scanner integration, high-quality T1 and T2 maps were presented on the host computer within 1 min after the MRF scan was completed, enabling timely visualization of the outcome. Impact: The MRF development kit has high potential to promote reproducibility,
large-scale clinical evaluation and translation of the novel MRF technique. |
| 15:33 | 0153.
 | Motion-Robust Multiparametric MRI of the Liver at 3T: Simultaneous Estimation of Water-Specific T1, PDFF, Motion-Resolved R2*, and QSM Jingjia Chen1,2, Ding Xia3, Hersh Chandarana1,2, Daniel K Sodickson1,2, and Li Feng1,2
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States Keywords: Quantitative Imaging, Quantitative Imaging Motivation: Quantitative multiparametric MRI has the potential to improve the characterization of liver diseases, but its clinical implementation is limited by challenges such as respiratory motion and slow imaging speed. Goal(s): To develop a motion-robust multiparametric MRI technique that enables simultaneous estimation of water-specific T1, PDFF, motion-resolved R2*, and QSM of the liver from a single acquisition at 3T. Approach: Our technique employs inversion recovery-prepared golden-angle multi-echo stack-of-stars sampling in combination with advanced low-rank subspace reconstruction for generating different quantitative parameters. Results: Free-breathing multiparametric estimation of 3D water-specific T1, PDFF, R2* and QSM with motion compensation has been successfully demonstrated in volunteers and patients. Impact: This new technique is capable of estimating water-specific T1, PDFF, motion-resolved R2*, and QSM of the liver from a single acquisition at 3T. It holds potential to promote the use of quantitative MRI in moving organs such as the liver. |