ISMRM25 - Preclinical Body MRI: Heart, Lung, Vessels & More

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Preclinical Body MRI: Heart, Lung, Vessels & More

Digital Poster

Preclinical

Tuesday, 13 May 2025

Exhibition Hall

15:45 - 16:45

Session Number: D-206

No CME/CE Credit

		Computer Number: 145 3009. Measurement of Pulmonary Hematocrit Using Oscillation of Hyperpolarized129Xe MR Signals in Blood View Presentation Video X. Liu, H. Li, H. Li, M. Zhang, Y. Zheng, X. Zhao, Y. Han, F. Guo, X. Zhou State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan, China Impact: This novel approach for pulmonary Hct assessment enables non-invasive measurements of lung blood composition, providing new possibilities for early lung disease detection. It enables accurate Hct measurements in small pulmonary vessels, potentially refining disease diagnosis and progression monitoring.
		Computer Number: 146 3010. Distinguishing Dose-Dependent Radiation Lung Injury using a Hyperpolarized 129Xe MRI Chemical Shift Saturation Recovery Technique View Presentation Video L. Loza, K. Ruppert, H. Hamedani, R. Rizi University of Pennsylvania, Philadelphia, United States Impact: We demonstrated a spectroscopic technique that shows sensitivity to differing degrees of radiation lung injury. This study lays the groundwork for future studies aimed at improving disease staging criteria in radiation lung injury, novel therapeutic development, and disease progression monitoring.
		Computer Number: 147 3011. Automated Deep Learning Cine MRI Segmentation for Cardiac Function Assessment in Preclinical Models View Presentation Video W. Hanisah, T. Yao, D. Stuckey, J. Steeden, V. Muthurangu University College London, London, United Kingdom Impact: Automating left ventricular segmentation with UNet3Plus has the potential to reduce analysis time and human error in large-scale, multi-timepoint preclinical studies, improving efficiency and enabling deeper investigation into cardiac dysfunction to accelerate the development and evaluation of novel cardiovascular therapies.
		Computer Number: 3012. WITHDRAWN
		Computer Number: 148 3013. Accelerating pre-clinical Cardiac MRI using a dynamic recurrent inference machine View Presentation Video D. van den Berg, F. van Stijn, B. Coolen, M. Caan, G. Strijkers Amsterdam UMC, Amsterdam, Netherlands Impact: Deep learning was able to accelerate cardiac MRI further than compressed sensing, by maintaining better image quality with higher acceleration factors. This enables more comprehensive MRI protocols for gaining a better understanding of heart diseases and effects of treatments.
		Computer Number: 149 3014. Effects of Reduced Cerebral Blood Flow on Neuronal Activity and Anxiety in a longitudinal mouse model of UCCAO View Presentation Video J. Zheng, Q. Bi, X. Xu, P. Shi, L. Zhao Zhejiang University, Hangzhou, China Impact: Longitudinal blood flow measurements using ASL offer a reliable approach to investigating the mechanisms underlying blood flow recovery following carotid artery occlusion.
		Computer Number: 150 3015. Development and Evaluation of ASL Imaging Protocol and Methods for Studies of Ischemic Events in the Swine Brain View Presentation Video X. Li, A. Metzger, J. Moore, P. Pourzand, H. Hai, H. Farooq, C. Lenglet, B. Salverda, M. Suresh, K. Lurie, G. Metzger University of Minnesota, Minneapolis, United States Impact: Development of non-contrast enhanced arterial spin labeling methods for swine brain perfusion imaging will provide pre-clinical researchers a valuable tool to assess and monitor brain perfusion changes following injury or interventions.
		Computer Number: 151 3016. In Vivo Vessel Size Imaging Using 9.4 T MRI: Histopathological Validation d. zhao, k. zhang, s. li, l. huang, c. chen, s. zhang, q. wan, n. zhang Shenzhen Institute of Advanced Technology, shenzhen, China Impact: Comparing VSI-MRI with histopathological validation provides crucial insights into vascular structure in tumors, enhancing non-invasive characterization accuracy. This method could improve tumor diagnosis, monitoring, and treatment planning by reliably correlating imaging results with microscopic vascular architecture.
		Computer Number: 152 3017. Comparison of Cotyledon-Specific Perfusion and Pathology of Rhesus Macaque Placenta with DCE-MRI in a Thrombotic Injury Model View Presentation Video R-Y Liu, L. Keding, J. Vazquez, R. Chen, D. Seiter, K. Antony, H. Simmons, P. Basu, A. Mejia, A. Stanic, D. Shah, K. Johnson, T. Golos, O. Wieben University of Wisconsin-Madison, Madison, United States Impact: Effects of the placental thrombosis model were confirmed and comparisons of placental histopathology and perfusion at the cotyledon level were proven feasible. Different perfusion relations with pathology on placental and cotyledon levels suggest the plasticity of the placenta under injury.
		Computer Number: 153 3018. Detecting white adipose tissue browning in mice with in vivo R2* mapping at 9.4T MRI Q. Zhong, H. Liu, Y. Feng, X. Jiao, Y. Yang, Y. Xu, Z. Cai, Z. Liu, K. Cai Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China Impact: We demonstrated R₂* may be a more valuable and specific biomarker, especially specific circumstances involving iron-regulated pathways and interventions for WAT browning, which may offer a novel strategy for monitoring and regulating WAT metabolism to combat obesity and metabolic diseases.
		Computer Number: 154 3019. Metabolic Profiling of Serum & Saliva in OSCC: A Combined Biofluid Approach for Enhanced Biomarker Discovery using 1H NMR. View Presentation Video S. Tripathi, N. Chauhan, S. Bhoriwal, S. Kumari, P. ., E. Dhamija, S. S. Kumaran, R. Venkatesan, B. Malhotra, R. Paulmurugan All India Institute of Medical Sciences, Delhi, India Impact: This study highlights the potential of using combined serum and saliva metabolomic profiling as a non-invasive approach to identify reliable biomarkers for early OSCC detection, offering a promising tool for improved diagnostic accuracy and timely intervention.
		Computer Number: 155 3020. Investigating the role of the spleen in promoting metabolic, physiological and redox adaptations that drive cancer progression View Presentation Video J. Barnett, M-F Penet, R. K. Sharma, S. Yousf, Y. Mironchik, B. Krishnamachary, Z. Bhujwalla The Johns Hopkins University School of Medicine, Baltimore, United States Impact: Tumors induce perturbations in splenic glutathione, reactive species and oxygen saturation which may contribute to poor prognosis and cancer persistence. These findings may provide insight for the development of metabolism-targeted strategies to improve immune surveillance and immunotherapy.
		Computer Number: 156 3021. Feasibility of Pre-clinical Whole-abdomen Deuterium Metabolic Imaging at 3T View Presentation Video S. Yuan, K. Chary, J. Duarte, N. Ramakrishnan, M. Farhangi, F. Gallagher, J. Kaggie University of Cambridge, Cambridge, United Kingdom Impact: This study demonstrates whole-mice-abdomen DMI at 3T. Unlike previous work that focused on the brain, this demonstrates the potential in abdominal applications, as well as showing temporal metabolite dynamics.
		Computer Number: 157 3022. Monitoring early response to low-dose Radiation Therapy with UTE Diffuse and Dense fibrosis imaging in swine and cervical cancer patients K. Sheikh, K. Ding, B. Daniel, C. Weiss, A. Kamireddy, D. Song, J. Lee, R. Seethamraju, T. Benkert, J. Tokuda, K. Gabrielson, H. Bhat, V. Croog, A. Viswanathan, E. Schmidt Johns Hopkins Medicine, Baltimore, United States Impact: Tumor response can differ widely between patients, even when receiving the same RT. If the response can be predicted early-on, treatment can be modified to improve outcome. We show that fibrosis imaging serves as a sensitive early marker of radiation-response.
		Computer Number: 158 3023. Identifying common metabolic networks altered by glutamine depletion in breast and pancreatic cancer cells View Presentation Video R. K. Sharma, N. Mori, B. Krishnamachary, Y. Mironchik, Z. Bhujwalla The Johns Hopkins University School of Medicine, Baltimore, United States Impact: Targeting glutamine metabolism may offer a promising therapeutic approach, as acute glutamine depletion induces significant metabolic reprogramming in PDAC and breast cancer cells.
		Computer Number: 159 3024. Towards in vivo detection of bioimaging marker of neurogenesis process in murine embryo brain View Presentation Video M. Uberti, A. Bade, Y. Liu University of Nebraska Medical Center, Omaha, United States Impact: Successful implementation of novel algorithm developed using complementary strength of ¹H-MRS and CEST MRI to monitor oleic acid levels during embryonic development will provide a non-invasive tool that has a potential to elucidate the neurogenesis process.

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