| Computer # |
| 4575.
 | 97 | An UTE-Stack-Of-Spirals Sequence For Biexponential-T1ρ Mapping of Knee Joint Hector Lise de Moura1,2, Mahesh Keerthivasan3, Thomas Benkert4, and Ravinder Regatte1,2
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York City, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York City, NY, United States, 3Siemens Medical Solutions USA Inc, Malven, PA, United States, 4MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany Keywords: Pulse Sequence Design, Quantitative Imaging Motivation: Quantitative mapping of the whole knee joint could potentially improve the understanding of how OA initiates and progresses. Goal(s): To develop an UTE-based spiral sequence capable of quantifying biexponential T1ρ in knee cartilage, ligaments, tendons, and menisci. Approach: An UTE stack-of-spirals sequence with a magnetization-preparation module was developed and tested on healthy volunteers at 3T. Results: The developed UTE-based spiral sequence presented an increased signal-to-noise ratio in T1ρ- weighted images and a smaller standard deviation in quantitative maps. Impact: The feasibility of the UTE-based
spiral sequence was demonstrated and showed potential for quantifying T1ρ on short T2
components in the whole knee joint. |
| 4576.
 | 98 | 3D Quantitative BOLD MRI in Patients with Unilateral Carotid Occlusion Jeffrey B Dennison1, Michael Langham2, Favilla Christopher3, Hyunyeol Lee4, and Felix W Wehrli2
1Radiology, University of Pennsylvania, Evesham, NJ, United States, 2Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Neurology, University of Pennsylvania, Philadelphia, PA, United States, 4School of Electronics Engineering, Kyungpook National University, Daegu, Korea, Republic of Keywords: Quantitative Imaging, Metabolism Motivation: Recently developed constrained quantitative BOLD (c-qBOLD) offers the ability to quantify local cerebral metabolic rate of oxygen (CMRO2). However, it has yet to be applied in a clinical setting.
Goal(s): By imaging patients with carotid occlusions we expect to observe specific disruptions to cerebral blood flow (CBF) and oxygen extraction fraction (OEF) i.e. neurometabolism.
Approach: Patients (N=4) presenting with unilateral carotid occlusions were examined with a 3D constrained qBOLD protocol to map CBF, OEF, and cerebral blood volume, allowing for calculations of local CMRO2.
Results: Data show both global and hemispheric differences in oxygen metabolism compared to healthy subjects.
Impact: The
novel c-qBOLD protocol has potential clinical utility as the degree
and character of metabolic dysfunction, but can be performed quickly,
offers fine spatial resolution (5.8mm3), and avoids
uncomfortable calibration procedures. |
| 4577.
 | 99 | Motion robust MR-ARFI using timeseries single-shot spiral acquisition Morteza Mohammadjavadi1, Kim Butts Pauly2, and Gary H Glover1
1Radiology, Stanford University, Stanford, CA, United States, 2Stanford, Stanford, CA, United States Keywords: Data Acquisition, Neuro, MR-ARFI Motivation: 2DFT MR-ARFI methods used to map ultrasound beam profiles can fail with small amounts of head motion because the signal is based on phase shifts from um-sized Acoustic Radiation Force displacement of tissue. Goal(s): To demonstrate that a single-shot timeseries method is more robust to bulk motion. Approach: Employing an efficient spiral redout trajectory, we compared the two methods’ ARFI images in a tissue-mimicking phantom undergoing controlled random translations. Results: The timeseries method demonstrated good quality tissue translation maps, while the 2DFT method failed with motions as small as ~50 microns RMS. Impact: Our single-shot method may allow routine use of MR-ARFI in humans for guiding US neuromodulation and US-based ablative therapy. |
| 4578.
 | 100 | Revolutionizing 3T Animal Imaging: Metamaterials' Advantages in Enhancing Contrast Shiman Wu1, Qing Li2, Qi Zhang1, Caixia Fu3, Yue Wu1, and Zhenwei Yao1
1Radiology, Huashan hospital, Fudan university, Shanghai, China, 2MR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China, 3Application Developments, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China Keywords: Data Acquisition, Data Acquisition, Metamaterials Motivation: To achieve high-quality animal imaging, metamaterials can offer an array of electromagnetic properties that can enhance 3T MRI by improving signal-to-noise ratio (SNR), image quality, and reducd scan times. Goal(s): Achieve superior imaging quality in 3T MRI by implementing metamaterial coils, thereby improving animal imaging capabilities. Approach: Utilized metamaterials on a 3T MRI to scan rats and mice, comparing image resolution, SNR, and CNR against traditional coils. Images were assessed by radiologists for quality. Results: Metamaterial coils provided markedly better resolution and contrast, with significantly higher SNR and shorter scan times, enabling clearer anatomical detail. Impact: The study's findings pave
the way for enhanced diagnostic precision in veterinary and preclinical
studies, raise questions about broader applications in small animal research. |
| 4579.
 | 101 | Investigating Data Acquisition Strategies for High Efficiency Clinical MRI and a More Sustainable Future in Radiology Amy E Becker1, Alastair J Martin1, Vibhas Deshpande2, Pan Su3, Pedro Itriago3, Vincent Lam4, Christopher P Hess1, and Sean A Woolen1
1Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Siemens Healthineers, Malvern, PA, United States, 3Siemens Healthineers, San Francisco, CA, United States, 4Siemens Smart Infrastructure, Fremont, CA, United States Keywords: Data Acquisition, Parallel Transmit & Multiband, Sustainability, Energy Motivation: Recognizing Radiology’s role in the medical healthcare environmental impact, we investigate strategies to reduce MRI scanning energy consumption and carbon footprint of Radiology. Goal(s): To demonstrate the achievable savings in time and energy during clinical MRI scans. Approach: Power meters were connected to three clinical MRI scanners from different field strengths to collect power data while phantom scans were acquired with typical clinical sequences and a range of common acceleration methods. Results: The application of acceleration techniques resulted in decreased scan duration, energy consumption, and carbon footprint. Deep Learning (DL) acceleration emerged as the technique with the most savings. Impact: This research paves the way for adoption of
high-efficiency MRI techniques, which promise to substantially lower the carbon
footprint and scan duration associated with MRI exams. |
| 4580.
 | 102 | Assessment of repeatability and reproducibility of brain oxygen extraction fraction mapping through QQ-CCTV Hangwei Zhuang1,2, Qihao Zhang2, Pascal Spincemaille2, Thanh Nyugen2, and Yi Wang1,2
1Cornell University, New York, NY, United States, 2Weill Medical College of Cornell University, New York, NY, United States Keywords: Signal Modeling, Oxygenation Motivation: QQ-CCTV has been validated under 3T to map brain oxygen extraction fraction. Yet its repeatability and reproducibility has not been evaluated under 1.5T. Goal(s): Assess the repeatability and reproducibility of QQ-CCTV Approach: QQ-CCTV was performed to calculate brain oxygen extraction from repeated scans under 3T and 1.5T. OEF values are compared between scans using linear regression and Bland-Altman plots. Results: The OEF values obtained from 3T and 1.5T scans show minimal bias and good correlation. Although under 1.5T the sampled data have lower SNR, QQ-CCTV may benefit from lower characteristic frequency and longer characteristic time. Impact: QQ-CCTV can be used with mGRE data acquired under 1.5T to map brain oxygen extraction with good repeatability and reproducibility and has the potential to be used clinically. |
| 4581.
 | 103 | Optimising magnetisation preparation for the 7T FLAIR contrast: simulations and experimental validation Emilie Sleight1, Antoine Klauser1,2, Gian Franco Piredda1,2, Frédéric Grouiller1,3, Tom Hilbert2,4,5, and Dimitri Van De Ville1,3,6
1CIBM Center for Biomedical Imaging, Geneva, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 3Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 6Neuro-X Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Keywords: Pulse Sequence Design, Simulations Motivation: At ultra-high field, magnetisation preparation should be adjusted to obtain an adequate FLAIR contrast. However, such optimisation of the pulse sequence and comparison between preparation types are missing. Goal(s): This work aimed to set a simulation framework to investigate the timing of the magnetisation preparation at 7T. T2 and double inversion recovery preparations were compared. Approach: Various preparation durations were investigated using simulations and measurements on healthy volunteers. Results: The image contrast obtained under simulation was experimentally validated. The T2-preparation gave the most promising contrast although the pulses were more prone to B0-inhomogeneity artefacts than the ones from the double inversion recovery preparation. Impact: We demonstrated that an adequate FLAIR contrast at 7T can be obtained by
optimising magnetisation preparation. Simulations can be used to improve the sequence, such
as optimising
the
magnetisation preparation and readout in terms of timings and flip angles. |
| 4582.
 | 104 | Line-Scan Gradient Echo Sampling of Turbo Spin Echo (GESTSE) Enables Quantitative Relaxometry in a “Virtual Biopsy” with 150 µm Resolution Shraddha Pandey1, Michael S. Yao2,3, Mukund Balasubramanian4,5, and M. Dylan Tisdall1
1Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 4Harvard Medical School, Boston, MA, United States, 5Department of Radiology, Boston Children’s Hospital, Boston, MA, United States Keywords: Pulse Sequence Design, Pulse Sequence Design, Neurodegenerative disease, Quantitative, GESTSE, relaxometry Motivation: Need for quantitative relaxometry at the spatial scale of cortical laminae to detect layer-specific pathology. Goal(s): Demonstrate feasibility of Line-Scanned Gradient Echo Sampling of Turbo Spin Echo (GESTSE) Approach: Novel 1D GESTSE sequence was developed, and data acquired in water phantom and pineapple at 7T. Data fitting algorithm was developed to accurately fit observed measurements and extract quantitative relaxometry data. Results: With specific gradient spoiling and phase cycling, and a fitting algorithm that accounts for system imperfections, transverse relaxation constants can be estimated at a 150 µm resolution along a 1D line-scan.
Impact: Our novel line-scan GESTSE sequence and fitting algorithm
enables accurate quantitative relaxometry at spatial scales sufficient to
resolve human cortical laminae. This method offers a new avenue to efficiently
detect layer-specific cortical structure and pathology in vivo. |
| 4583.
 | 105 | Characterizing cortical morphology alterations in ASD children aged 12 to 48 months Yuying Feng1,2, Linlin Zhu1,2, Pengxuan Bai1,2, Huifang Zhao1,2, Xincheng Du1,2, Aoran Liu1,2, Feng Shi3, Jian Yang1,2, and Chao Jin1,2
1The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, 2Shaanxi Engineering Research Center of Computational Imaging and Medical Intelligence, Xi'an, China, Xi'an, China, 3Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China, Shanghai, China Keywords: Image Reconstruction, Brain Motivation: Investigate the age-specific anatomical abnormalities in the brains of children with ASD, and provide valuable insights into the development and progression of the disorder. Goal(s): Analyze the differences in cortical thickness, surface area, and volume between individuals with ASD and typically developing control (TDC) children aged 12-48 months. Approach: The study reconstructed the cerebral cortex from MRI images of children aged 12 to 48 months in ASD and TDC groups, analyzing the differences of cortical thickness, surface area and volume between groups. Results: The study identified different growth trajectories in cortical thickness, surface area and volume growth in ASD and TDC groups. Impact: The
study highlights the significance of investigating the neural underpinnings of
ASD, which can ultimately lead to more effective treatments and support for
affected individuals and their families. |
| 4584.
 | 106 | Correlation analysis between quantitative-T2 and diffusion-MRI measurements in human white matter: a study across different field strengths. Elisa Marchetto1,2, Sebastian Flassback1, Patricia Johnson1, Jakob Assländer1, and Jelle Veraart1
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 Keywords: Quantitative Imaging, Quantitative Imaging Motivation: Quantitative MRI is increasingly translated to low (<=0.55T) and high (>=7T) field strengths. Yet, differences in the underlying biophysics across field strengths remain poorly understood. Goal(s): To identify and understand deviations in the correlation of T2 and diffusion metrics at extreme field strengths. Approach: Quantitative T2 and diffusion MRI maps were computed from a comprehensive MRI protocol at 0.55T, 1.5T, 3T, and 7T. Results: We observe decreased correlation between T2 relaxation and diffusivity at high field strengths, while the results at 0.55T align well with clinical field strengths, which shows the ground for optimization of experimental design at low- and ultra-low fields. Impact: T2 and diffusion-MRI commonly complement each other in clinical imaging. Our results show a similar correlation of related metrics, suggesting shared information on tissue properties, which can be used to optimize experimental design at low- and ultra-low fields. |
| 4585.
 | 107 | Rapid multi-contrast multi-parametric whole brain imaging based on AI-accelerated multi-shot echo-planar imaging (msEPI) Yanglei Wu1, Yuan Li1, Xiaoyun Fan2, Feng Feng2, Thorsten Feiweier3, Bryan Clifford4, and Jianxun Qu1
1MR Reseach Collaboration Team, Siemens Healthineers, Beijing, China, 2Radiology Department, Peking Union Medical College Hospital, Beijing, China, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Siemens Medical Solutions USA, Boston, MA, United States Keywords: Quantitative Imaging, Multi-Contrast, Artificial Intelligence; Quantitative Mapping; Ultra-fast Acquisition Motivation: To enhance MRI efficiency for brain imaging, improve image quality, and enable multi-parametric mapping for diagnosing neurological diseases. Goal(s): Develop a rapid imaging protocol using AI-accelerated multi-shot echo-planar imaging (msEPI) to simultaneously acquire multi-contrast images and quantitatively map R2, R2', R2*,R1, M0, and MTR across the entire brain. Approach: Utilize msEPI with AI-enhanced reconstruction, scan five healthy volunteers, adjust parameters for different contrasts, and conduct whole-brain quantification using MATLAB. Results: The acquisition technique collects FLAIR and FGATIR-like multi-contrast images with high SNR and enable multi-parameter quantification in just 5 minutes. This approach holds the potential to streamline diagnostics and enhance the patient’s experience. Impact: Our multi-contrast fast quantification MRI protocol, founded on an AI-accelerated multi-shot echo-planar imaging sequence, substantially shortens scanning time while delivering high-quality multi-parametric brain images, offering a promising advancement in efficient and effective diagnostic processes for neurological diseases. |
| 4586.
 | 108 | Cardiac-incoherent sampling of transverse signal decay mitigates cardiac-induced noise in brain maps of R2* Quentin Raynaud1, Rita Oliveira1, Jérôme Yerly2,3, Ruud B. van Heeswijk2, and Antoine Lutti1
1Laboratory for Research in Neuroimaging, Department for Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Center for Biomedical Imaging (CIBM), Lausanne, Switzerland Keywords: Pulse Sequence Design, Pulse Sequence Design Motivation: Robust measures of the relaxation rate R2* are essential for use in neuroscience studies. With standard acquisition techniques, data are sampled consecutively at multiple echo times at the same phase of the cardiac cycle. This coherent sampling leads to a high level of cardiac-induced noise in brain maps of R2*. Goal(s): We design a new data acquisition strategy that mitigates the impact of cardiac-induced noise in brain quantitative R2* maps. Approach: We incoherently sample cardiac-induced noise by shifting k-space location during the multi-echo acquisition. Results: Compared to standard techniques, this strategy reduces the variability of R2* estimates across repetitions by 30-40%. Impact: The proposed k-space
shifting acquisition strategy reduces the level of cardiac-induced noise in
brain maps of R2*. This will increase the sensitivity of brain
change analyses in future neuroscience studies that include R2*
mapping. |
| 4587.
 | 109 | Quantitative MRI biomarker for classification of clinically significant prostate cancer: calibration for reproducibility across echo times Karoline Kallis1, Christopher C. Conlin2, Courtney Ollison1, Michael E. Hahn2, Rebecca Rakow-Penner2, Anders M. Dale2,3,4, and Tyler M. Seibert1,2,5
1Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 2Department of Radiology, University of California San Diego, La Jolla, CA, United States, 3Department of Neurosciences, University of California San Diego, La Jolla, CA, United States, 4Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA, United States, 5Department of Bioengineering, University of California San Diego, La Jolla, CA, United States Keywords: Quantitative Imaging, Quantitative Imaging, Prostate Motivation: Restriction Spectrum Imaging restriction score (RSIrs) is a quantitative biomarker for detection of clinically significant prostate cancer. However, magnitude of RSIrs is influenced by imaging parameters, including echo time (TE). Goal(s): We introduce a calibration technique to generate consistent RSIrs biomarker values for data acquired with different TEs. Approach: We demonstrate a partial linear relationship between RSIrs and TE and compare calibrated to reference RSIrs values at two TEs Results: The proposed calibration reduced bias between calibrated and reference RSIrs values. Impact: Restriction Spectrum Imaging restriction score (RSIrs) is a quantitative MRI biomarker of clinically significant prostate cancer, but RSIrs values are dependent on echo time. This study introduces an approach to calibrate RSIrs for echo time variations and yield reproducible results. |
| 4588.
 | 110 | Multi-contrast Multi-resolution UTE for Myelin Fraction Mapping Nan Yin1, Shuai Liu1, Marco Reisert1, Serhat Ilbey2, Alexander Rau3, Uzay Emir4,5, Michael Bock1, and Ali Caglar Özen1
1Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2Bruker BioSpin, Karlsruhe, Germany, 3Deparment of Diagnostic and Interventional Radiology and Neuroradiology, University Medical Center Freiburg, Freiburg, Germany, 4Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 5School of Health Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, IN, United States Keywords: Quantitative Imaging, Quantitative Imaging, Myelin, UTE, Bayesian Motivation: The direct detection of myelin is not possible due to extremely short T2 of the myelin bilayer. Ultra-short T2* component can be calculated with ultra-short echo-time (UTE) sequences. Goal(s): To evaluate the performance of the multi-contrast multi-resolution 3D-UTE sequence (mcUTE) in myelin fraction estimation. Approach: Combining 1-1 binomial water-excitation pulses and zero-moment encoding in between, mcUTE enables simultaneous acquisition of quantitative and high-resolution water-excited structural images. Myelin fraction from mcUTE is compared to myelin water fraction method. Results: Myelin fraction values were comparable with literature, and consistent within the subjects. Impact: mcUTE can potentially be used as a single imaging
modality for myelin fraction estimation since it produces both quantitative and
a high resolution water-excited anatomical image data in 18mins with TE=20μs. Our results show the acquisition
can be further accelerated. |
| 4589.
 | 111 | Accelerated Whole-Brain Mapping of Venous Cerebral Blood Volume Using Velocity-Selective Venous-Spin-Labeling With 3D GRASE Encoding Youngho Heo1, Sungsuk Oh2, and Hyunyeol Lee1
1Electronic and electrical engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Medical Device Development Center, Daegu–Gyeongbuk Medical Innovation Foundation (K-MEDI Hub), Daegu, Korea, Republic of Keywords: Quantitative Imaging, Quantitative Imaging Motivation: The VS venous-spin-labeling-prepared 3D TSE method has recently shown promise in whole-brain venous CBV mapping with relative immunity to field variations. Nevertheless, the method’s relatively long scan times limits its application to functional studies involving short-term stimuli. We aimed to develop a highly accelerated technique for CBVv mapping across the entire brain. Goal(s): To reduce imaging time while mitigating inherent artifacts in GRASE imaging. Approach: We employed GRASE encoding with variable refocusing flip angles while subsampling k-space data, followed by compressed sensing based image reconstruction. Results: The proposed technique yields comparable CBVv values across the entire brain, with highly accelerated scan times. Impact: We introduce a scan-time
efficient CBVv mapping strategy by means of GRASE encoding with sparse k-space
sampling. Upon further evaluation of
these issues, the present GRASE-based CBVv mapping method is expected to find
various applications in neuroimaging studies. |
| 4590.
 | 112 | High-Resolution Quantitative T2 and T1 Mapping of the Hippocampus Haley Elizabeth Wiskoski1, Kevin Johnson2, Juan Arias3, Arun Pugazhendhi2, Raza Mushtaq4, Eze Ahanonu5, Ali Bilgin1,2, Craig Weinkauf3, Theodore Trouard1,2,6, and Maria Altbach1,2
1Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, United States, 2Department of Medical Imaging, The University of Arizona, Tucson, AZ, United States, 3Department of Surgery, The University of Arizona, Tucson, AZ, United States, 4Department of Neuroradiology, Barrow Neurological Institute, Phoenix, AZ, United States, 5Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, United States, 6Evelyn F. McKnight Brain Institute, The University of Arizona, Tucson, AZ, United States Keywords: Quantitative Imaging, Image Reconstruction, Hippocampus Motivation: The hippocampus is important in memory and is an early target in neurodegenerative diseases. Structural MRI may lack sensitivity to microstructural changes in this region, necessitating more quantitative techniques. Goal(s): We evaluate reproducibility of new radial MRI methods for T2/T1 mapping in the brain and examine age-related changes. Approach: Quantitative maps were generated using novel pulse sequences and reconstruction algorithms. We assessed reproducibility and age-related trends. Results: We observed strong correlations in T2 and T1 measurements between imaging sessions. We observed positive relationships between T2 and T1 measurements and age in white matter and negative relationships in gray matter regions. Impact: This study introduces novel radial MRI techniques for mapping of the brain and hippocampus, with potential to offer insights into early neurodegenerative changes. Findings on reproducibility and age-related trends contribute to improved understanding of brain health and potential diagnostic applications. |