ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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Computer Number: 145
1516. PMEEN:
A Multimodal Imaging System Integrating PET, MRI, EEG,
Eye-Tracking, and fNIRS for Advanced Analysis of Brain Function
Z. Wu, Y. Gu, J. Cao, S. Liu, L. Hu, Y. Li, S. Li
First Hospital of Shanxi Medical University, Taiyuan, China
Impact: The PMEEN system’s precise synchronization of
multimodal data enables deeper insights into brain function,
advancing diagnostics and personalized treatments for
neurological disorders. It opens new research avenues into
complex brain interactions, revealing connections previously
undetectable with single-modality techniques.
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Computer Number: 146
1517. MR-guided
TOF-BSREM PET Reconstruction on PET/MRI: Improved Inter-Reader
Reproducibility and Diagnostic Confidence in Amyloid-beta PET
M. Nogami, J. Inukai, F. Zeng, M. Spangler-Bickell, T.
Kurimoto, K. Kubo, H. Okazawa, T. Murakami
Kobe University Hospital, Kobe, Hyogo, Japan
Impact: MRgTOF-BSREM improves inter-reader
reproducibility and diagnostic confidence in amyloid-beta
PET imaging compared to conventional methods, supporting its
potential to enhance treatment indication assessments for
Alzheimer’s disease-modifying therapies through more
accurate visual and quantitative evaluations.
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Computer Number: 147
1518. Towards
a hybrid low-cost MR-PET technology with therapeutic ultrasound
capabilities.
T. Guallart-Naval, E. Pallás, J. M. Algarín, R. Bosch, A.
Gonzalez-Montoro, M. Freire, J. Alonso, F. López, S.
Jiménez-Serrano, C. de Alfonso, K. Vidal, D. Andrés, J. J.
García, J. L. Alonso-Ramos, A. Carrión, M. J. Rodríguez, J.
M. Benlloch, A. J. González, F. Camarena
Institute for Instrumentation in Molecular Imaging (i3M), CSIC, Valencia, Spain
Impact: We present the first low-field MRI-integrated
trimodal MR-PET-FUS system, enabling affordable, accessible
devices. Having demonstrated simultaneous MR-PET acquisition
and FUS heating, this work opens the path for
cost-effective, multimodal diagnostics and treatment
applications.
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Computer Number: 148
1519. Functional
PET-MRI in Symptomatic Cam FAI Examining the Crosstalk Between
Bone and Cartilage
M. Sisson, G. Melkus, K. Rakhra, R. Taylor, K. Dinelle, G.
Grammatopoulos, S. Carsen, A. Parisien, P. Beaule
Carleton University, Ottawa, Canada
Impact: PET-MRI allows for the simultaneous analysis of
bone and cartilage status in hips and may provide more
detailed diagnosis and prognosis for FAI and osteoarthritis
patients. Both T1ρ and SUV measures are indicative of
worsening pain and progression of disease.
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Computer Number: 149
1520. MAGnetic
Resonance Invisible Coil (MAGIC) using liquid metal for
Sequential PET-MRI image acquisition.
M. Mayekar, J. Adams
North Carolina State University, Raleigh, United States
Impact: PET-MRI surface array coils contain loops and/or
dipoles made of copper, which attenuate the PET radiations
significantly. The presented research motivated us to ask
how to estimate the gain in PET attenuation reduction for
the proposed coil architecture before proceeding.
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Computer Number: 150
1521. Developing
a Public Dataset for 15O-H2O PET/MRI with ASL Perfusion in
Healthy Controls and Moyamoya Patients: Methods, Validation &
Applications
B. JIANG, M. Zhao, A. Fan, M. Khalighi, G. Steinberg, G.
Zaharchuk
Stanford University, Stanford, United States
Impact: This dataset can significantly advance
neuroimaging research by enabling reproducibility studies,
validating ASL imaging against PET, and supporting
artificial intelligence approaches. It provides a critical
resource for scientists, clinicians, and data-driven
innovations.
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Computer Number: 151
1522. Multimodal
fMRI, Electrophysiological, and Electrochemical Recording Reveal
Dopaminergic Modulation of Connectivity Dynamics
T. Shnitko, G. Gong, M. Verber, S. Song, M. McFarland, R.
Peng, T-W Wang, M. MacKinnon, Y-Y Shih
University of North Carolina at Chapel Hill, Chapel Hill, United States
Impact: This study demonstrates the development and
application of novel translational approach for
simultaneously acquiring fMRI, electrophysiological, and
electrochemical data in a rodent model. This multimodal
recording method is valuable for neuroimaging scientists
studying neurochemical origins of hemodynamics and brain
networks.
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Computer Number: 152
1523. Comparing
List-mode and Count-Mixing Techniques for Deep Learning-Based
Disambiguation of AD Radiotracers in PET/MRI
A. Kumar, D. Kim, B. Ho, M. Carlson, E. Mormino, A.
Chaudhari, C. Young, K. Chen, M. Khalighi, G. Zaharchuk
Stanford University, Stanford, United States
Impact: Count-mixing provides a faster,
compute-efficient way to generate realistic mixed-dose PET
images, enhancing model training and scaling DL applications
for radiotracer separation. This approach could enable
simultaneous injection of multiple radiotracers in a single
acquisition for AD patients.
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Computer Number: 153
1524. Simultaneous
EEG-fMRI at 7T: Evaluation of Radio Frequency (RF) Heating and
Shielding of a novel EEG cap
R. Meagher, O. Ipek, T. Warbrick, D. Carmichael
King's College London, London, United Kingdom
Impact: Presently, EEG-fMRI is limited by fMRI
sensitivity. EEG-fMRI at 7T offers a solution to this,
because fMRI signal changes are substantially increased in
magnitude. This could dramatically improve the technique’s
sensitivity and spatial specificity for presurgical epilepsy
evaluation.
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Computer Number: 154
1525. An
Open-Sided Hybrid MPI and Low-Field MRI Scanner: Experimental
Validation Study
S. Karaca, D. Alptekin Soydan, C. B. Top, E. U. Saritas
Bilkent University, Ankara, Turkey
Impact: The proposed open-sided hybrid MPI and low-field
MRI scanner successfully combines high contrast and
sensitivity of MPI with the anatomical imaging capability of
MRI, while reducing the system costs using the coil groups
interchangeably between the two modalities.
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Computer Number: 155
1526. Comparing
the efficacy of Wire Loop (WL) methods for EEG motion artefact
(MA) correction.
D. Marsh, A. Daniel, J. Jorge, J. van der Meer, A.
Lenartowicz, S. Francis, K. Mullinger
University of Nottingham, Nottingham, United Kingdom
Impact: The two motion artefact correction algorithms
tested (using wire loops for motion characterisation) can
both be used for correction of EEG data inside an MR scanner
with similar performance.
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Computer Number: 156
1527. Design,
setup and establishment of a brain stimulation system and
technique for hybrid 3 T MR-FUS in in vivo rats
M-J Chen, K-H Cho, C-C Pan, E. Farrher, S-M Huang, P-H He,
H-H Chiang, F. Küppers, N. J. Shah, H-Y Chang, G-S Chen, L-W
Kuo, C-H Choi
Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
Impact: This integrated MR-FUS system enables
non-invasive access to brain activity and its reliability
has been demonstrated in healthy rats, with no artefacts
during FUS operation, supporting potential advancements in
neuromodulation research.
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Computer Number: 157
1528. Wireless
EEG System for Concurrent TMS-EEG-fMRI
D. Lovell, J. Maravilla, Y-C Lin, C. Liu, M. Lustig, A.
Niknejad, K. Pister
University of California, Berkeley, Berkeley, United States
Impact: This wireless EEG system aims to advance
multimodal neuroimaging by enabling concurrent TMS-EEG-fMRI
studies with reduced interference and improved safety. The
system may improve the many relevant diagnostic and
therapeutic applications in neuroscience. The presented
prototype is made open-source.
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Computer Number: 158
1529. Design
and implementation of a 1H/31P dual-tuned head coil at 7T
H. Jin, T. Santini, A. Sajewski, J. Berardinelli, J. Li, C.
Chu, B. de Almeida, T. Campos, J-J Liou, A. DeFranco, H.
Aizenstein, T. Ibrahim
University of Pittsburgh, Pittsburgh, United States
Impact: The dual-tuned RF coil enables advanced
neuroimaging at 7T, providing detailed structural and
metabolic imaging within a single session. By eliminating
the need for repositioning or coil switching, this design
enables more efficient imaging workflows and precise
anatomical-metabolic alignment.
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Computer Number: 159
1530. Concurrent
SORDINO fMRI and Calcium Imaging at Cellular Resolution Reveal
Prefrontal Cortex Integration with Brain Networks
L. Hsu, M. MacKinnon, S. Song, R. Nonneman, S-H Lee, J.
Rodríguez-Romaguera, Y-Y Shih
University of North Carolina at Chapel Hill, Chapel Hill, United States
Impact: We introduce a radically new approach combining
brain-wide fMRI and cellular-level calcium imaging, enabling
researchers to tackle brain network questions previously
beyond reach.
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