Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: Demonstration of a high dynamic-range and high SNR method for acquiring absolute maps from a combination of gradient echo and actual-flip-angle measurements that is especially useful during the construction of parallel-transmit arrays.

Methods: Low flip angle gradient echo images, acquired when transmitting with each channel individually, are used to compute relative maps. Instead of computing these in a conventional manner, the equivalence of the problem to the ESPIRiT parallel image reconstruction method is used to compute maps with a higher SNR. Absolute maps are generated by calibration against a single actual flip-angle acquisition when transmitting on all channels simultaneously.

Results: Depending on the number of receiver channels and the location of the receive elements with respect to the subject being investigated, moderate to high gains in the SNR of the acquired maps can be achieved.

Conclusions: The proposed method is especially suited for the acquisition of maps during the construction of transceiver arrays. Compared to the original method, maps with higher SNR can be computed without the need for additional measurements, and maps can also be generated using previously acquired data. Furthermore, easy adoption and fast estimation of receiver channels is possible because of existing highly optimized open-source implementations of ESPIRiT, such as in the BART toolbox.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11680734PMC
http://dx.doi.org/10.1002/mrm.30349DOI Listing

Publication Analysis

Top Keywords

maps
8
absolute maps
8
gradient echo
8
maps higher
8
higher snr
8
maps generated
8
receiver channels
8
high
4
high dynamic
4
dynamic range
4

Similar Publications

This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.

View Article and Find Full Text PDF

The causal journey: from maps to mechanisms and digital twins.

Cereb Cortex

August 2025

Aix-Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, France.

Over three decades, statistical parametric mapping has transformed neuroimaging from descriptive mapping to causal inference, placing generative models at the core of causal explanations for brain function. It inspired to a large degree The Virtual Brain, which builds subject-specific digital twins from multimodal data, enabling brain simulations and exploration. Both frameworks converge at parameter estimation, where model and data meet, providing the mathematical manifestation of cause-effect in pathophysiology.

View Article and Find Full Text PDF

Thirty years of SPM-BrainMap synergy: making and mining coordinate-based literature.

Cereb Cortex

August 2025

Research Imaging Institute, University of Texas Health Science Center at San Antonio, 8403 Floyd Curl Drive, San Antonio, TX 78229, United States.

Statistical Parametric Mapping (SPM) adheres to rigorous methodological standards, including: spatial normalization, inter-subject averaging, voxel-wise contrasts, and coordinate reporting. This rigor ensures that a thematically diverse literature is amenable to meta-analysis. BrainMap is a community database (www.

View Article and Find Full Text PDF

Dynamics and Persistence of a Generalized Multi-strain SIS Model.

Bull Math Biol

September 2025

Department of Mathematics, Siena University, 515 Loudon Road, Loudonville, NY, 12211, USA.

Autonomous differential equation compartmental models hold broad utility in epidemiology and public health. However, these models typically cannot account explicitly for myriad factors that affect the trajectory of infectious diseases, with seasonal variations in host behavior and environmental conditions as noteworthy examples. Fortunately, using non-autonomous differential equation compartmental models can mitigate some of these deficiencies, as the inclusion of time-varying parameters can account for temporally varying factors.

View Article and Find Full Text PDF

Replication-competent adenovirus reporters utilizing endogenous viral expression architecture.

J Virol

September 2025

Genome Regulation and Cell Signaling, Ellen and Ronald Caplan Cancer Center, The Wistar Institute, Philadelphia, Pennsylvania, USA.

Unlabelled: Adenoviruses are double-stranded DNA viruses widely used as platforms for vaccines, oncolytics, and gene delivery. However, tools for studying adenoviral gene expression in real time during infection remain limited. Here, we describe a set of fluorescent and bioluminescent reporter viruses built using the modular AdenoBuilder reverse genetics system and informed by high-resolution maps of Ad5 transcription.

View Article and Find Full Text PDF