Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

Diffusion Acquisition

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Diffusion Acquisition
Digital Poster
Diffusion
Tuesday, 12 May 2026
Digital Posters Row F
16:55 - 17:50
Session Number: 465-06
No CME/CE Credit
Similar Sessions
This session has posters about dMRI acquisition related methods
  Figure 465-06-001.  Evaluation of Ultra-high b-value diffusion MRI on the NexGen 7T scanner with high-performance head gradients
David Feinberg, Erica Walker, Oleksandr Khegai, Alexander Beckett, An Vu
University of California, Berkeley, United States of America
Impact: The cumulative gains in SNR offered by ultra-high field, coupled with high-performance gradients, enable ultra-high b-values (up to 40,000 s/mm2) in diffusion brain imaging, a benefit to brain microstructure analysis that may resolve changes in neurological diseases.
  Figure 465-06-002.  High-fidelity 3D dMRI using Slab-shifted Harmonization Acquisition and Reconstruction with Profile Encoding Network (SHARPEN)
Ziyu Li, Karla Miller, Wenchuan Wu
University of Oxford, Oxford, United Kingdom
Impact: We present a method that improves the image quality for high-resolution 3D multi-slab diffusion MRI. We demonstrate high-fidelity submillimeter diffusion MRI with potential to provide more fine-grained depictions of human brain microstructure and connectivity.
  Figure 465-06-003.  Diffusion relaxometry in a clinical time frame
Tim Sprenger, Enrico Avventi, Adam van Niekerk, Ola Norbeck, Sophie Schauman, Henric Rydén, Stefan Skare
GE Healthcare, Munich, Germany
Impact: This study presents a fast diffusion relaxometry sequence combining DWI with multiple inversion and echo times, enabling selective tissue nulling of CSF, gray matter, and white matter. It supports multidimensional tissue characterization within clinically feasible scan durations.
  Figure 465-06-004.  Single-shot MOLED delivers rapid T2+ADC mapping for preoperative typing of meningioma, glioma, and schwannoma
Jianfeng Bao, Xiao Wang, Yuchuan Zhuang, Yanbo Dong, Andrey Tulupov, Liangjie Lin, Congbo Cai, Yong Zhang
The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Impact: Single-shot MQMOLED delivers rapid, registration-free, multiparametric maps that enhance preoperative differentiation of meningioma, glioma, and schwannoma, supporting individualized planning and reducing dependence on longer, multi-sequence workflows.
  Figure 465-06-005.  Optimized gradient waveforms for isotropic diffusion and restriction weighting via double-isotropic matched encoding (DIME)
Felix Mortensen, Viktor Olsson, Athanasios Grigoriou, Malwina Molendowska, Samo Lasic, Filip Szczepankiewicz
Lund University, Lund, Sweden
Impact: Our design reduces diffusion-time bias, enabling more accurate parameter estimation and interpretation for models that omits such effects. It is optimizable for target MRI hardware and includes explicit control of concomitant gradient effects and nerve-stimulation, improving usability and safety.
  Figure 465-06-006.  Simultaneous measurement of glutamate and lactate and quantification of creatine diffusion with optimised DW-MRS protocol
Anne Josset, Nicholas Dowell, Samira Bouyagoub, Edward Caddye, Itamar Ronen
Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Falmer BN1 9RR, United Kingdom
Impact: Optimised protocol for functional diffusion-weighted MRS maximizes measurement accuracy for simultaneous evaluation of neurometabolite concentrations and diffusion changes, providing a holistic picture of neurotransmission, metabolic and microstructural changes associated with neuronal activity.
  Figure 465-06-007.  Eddy current pre‐compensation gradients design for diffusion preparation
Kevin Moulin, Limin Zhou, Sandra Haltmeier, Guillaume Gilbert, Jessica Martinez, Sebastian Kozerke, Andrew Powell
Boston Children's Hospital and Harvard Medical School, Boston, United States of America
Impact: Numerically optimized pre-compensation gradients (PreENCODE) mitigate eddy-current–induced signal loss in diffusion-prepared imaging without additional hardware or scan time. In phantom and brain, PreENCODE successfully reduced eddy currents for 2RFE and 3RFE preparations.
  Figure 465-06-008.  Optimized Slice-specific Shimming of Whole-body DWI in High-BMI Subjects
Aidan Tollefson, Patricia Lan, Arnaud Guidon, Gaohong Wu, Julius Heidenreich, Ali Pirasteh, Diego Hernando
University of Wisconsin - Madison, Madison, United States of America
Impact: Substantial improvements in fat suppression and diagnostic image quality in whole-body DWI of high-BMI subjects were achieved using a data-guided slice-specific shimming optimization, demonstrating the feasibility of this technique in challenging clinical conditions where conventional volumetric shimming often fails.
  Figure 465-06-009.  Non-CPMG diffusion-weighted turbo spin-echo imaging
David Norris, José Marques
Radboud University, Nijmegen, Netherlands
Impact: A non-CPMG TSE echo train is measured at short TE and data reconstructed using a matrix inversion approach. Compared to the standard implementation sensitivity is improved by more than a factor more than 2.5 offering improved diagnosis and broader utilisation.
  Figure 465-06-010.  Direction-interleaved spirals for direct estimation of mean diffusion-weighted images
Hanne Baeyens, Johannes Devos, Ahmed Radwan, Stefan Sunaert, Daan Christiaens
KU Leuven, Leuven, Belgium
Impact: Direction-interleaved spirals provide an approach for direct estimation of mean diffusion at sub-mm resolution, which has a wide array of applications, from oncological screening to IVIM. This proof of concept motivates further investigation and validation of the obtained contrast.
  Figure 465-06-011.  CL+μGUIDE: Posterior-Guided Sequence Optimisation for Multidimensional MRI
Maria Paula Del Popolo, Marco Palombo, Álvaro Planchuelo-Gómez, Maëliss Jallais, Chantal Tax
University Medical Center Utrecht, Utrecht, Netherlands
Impact: Our Machine Learning–based optimisation method enables subselection of multidimensional MRI measurements using posterior distributions, preserving parameter estimation accuracy with five-fold fewer acquisitions. This posterior-guided framework improves protocol design, reducing acquisition time without compromising fidelity.
  Figure 465-06-012.  Diffusion MRI with high spatial resolution and high b-values on a clinical 7T MRI scanner with enhanced gradient capabilities
Nils Nothnagel, Christophe Lenglet, Shaun Warrington, Stam Sotiropoulos, Edward Auerbach, Kamil Ugurbil, Alireza Sadeghi-Tarakameh, Essa Yacoub
Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, United States of America
Impact: We leverage stronger gradients on a clinical 7T scanner (Siemens Terra.X) to further increase the spatial and angular resolution of the 7T HCP diffusion protocol, closing any gaps with diffusion imaging on modern clinical 3T scanners.
  Figure 465-06-013.  Deep Probabilistic Multishell Undersampling for Diffusion Spectrum Imaging
Beomgu Kang, Hyunseok Seo
Korea university, Seoul, Korea, Republic of
Impact: The proposed Deep Probabilistic Multishell Undersampling (DPMU) framework learns microstructure-specific optimal sampling patterns, significantly reducing scan time while preserving the accuracy of microstructure mapping.
  Figure 465-06-014.  Single-Slab 3D Brain DWI with Motion-Compensated Diffusion Encoding: Repeatability and SNR Evaluation
Jens Johansson, Kerstin Lagerstrand, Hanna Hebelka, Stephan Maier
Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Impact: Higher-order motion-compensated diffusion encoding enables stable, single-slab 3D-DWI with reduced ghosting and anticipated SNR. The technique can advance diffusion MRI methodology, potentially facilitating high-resolution, reproducible imaging for better lesion detection and more detailed quantitative microstructural analysis.
  Figure 465-06-015.  Optimized Experimental Design for In Vivo SANDI Microstructural Imaging with Ultra-Strong Gradient Diffusion MRI
Kadir Şimşek, Marco Palombo, Muhamed Barakovic, Stefano Magon, Jens Wuerfel, Derek Jones, Paddy Slator
Cardiff University, Cardiff, United Kingdom
Impact: Diffusion MRI requires long scan times and high energy due to complex protocols. We applied the TADRED framework for joint acquisition optimization and parameter estimation, outperforming typical approaches. TADRED can facilitate efficient, information-rich dMRI acquisitions for clinical and research use.
  Figure 465-06-016.  Comparative Evaluation of Orbital DWI Image Quality Using RESOLVE, EPI, and ZOOMit Techniques
Saiqiong Miao, xiarong Gong, Qiu Bi, Yunzhu Wu, Yun Liang
The First People’s Hospital of Yunnan Province. The Affiliated Hospital of Kunming University of Science and Technology, kunming, China
Impact: Under strictly controlled conditions (i.e., identical scan times), the performance of three DWI sequences was evaluated for orbital imaging. Compared to other sequences, RESOLVE provided superior image quality for diagnosis, with less distortion, sharper edges, and higher tissue contrast.

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