CoSimPy: An open-source python library for MRI radiofrequency Coil EM/Circuit Cosimulation

Zanovello, Umberto; Seifert, F.; Bottauscio, O.; Winter, Lukas; Zilberti, Luca; Ittermann, Bernd

doi:10.1016/j.cmpb.2022.106684

Cited by 6 publications

(5 citation statements)

References 26 publications

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“…3D distributions of complex

{B}_1

and E‐field vectors were extracted from Sim4Life for all simulations. Co‐simulations and data analyses were performed using Python 3.9 30 with a script similar to the published CoSimPy‐code 31 …”

Section: Methodsmentioning

confidence: 99%

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The impact of respiratory motion on electromagnetic fields and specific absorption rate in cardiac imaging at 7T

Schön

Seifert

Petzold

et al. 2022

Magnetic Resonance in Med

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To present electromagnetic simulation setups for detailed analyses of respiration's impact on B +1 and E-fields, local specific absorption rate (SAR) and associated safety-limits for 7T cardiac imaging. Methods: Finite-difference time-domain electromagnetic field simulations were performed at five respiratory states using a breathing body model and a 16-element 7T body transceiver RF-coil array. B + 1 and SAR are analyzed for fixed and moving coil configurations. SAR variations are investigated using phase/amplitude shimming considering (i) a local SAR-controlled mode (here SAR calculations consider RF amplitudes and phases) and (ii) a channel-wise power-controlled mode (SAR boundary calculation is independent of the channels' phases, only dependent on the channels' maximum amplitude). Results: Respiration-induced variations of both B + 1 amplitude and phase are observed. The flip angle homogeneity depends on the respiratory state used for B + 1 shimming; best results were achieved for shimming on inhale and exhale simultaneously (|ΔCV| < 35%). The results reflect that respiration impacts position and amplitude of the local SAR maximum. With the local-SAR-control mode, a safety factor of up to 1.4 is needed to accommodate for respiratory variations while the power control mode appears respiration-robust when the coil moves with respiration (SAR peak decrease: 9% exhale→inhale).Instead, a spatially fixed coil setup yields higher SAR variations with respiration. Conclusion: Respiratory motion does not only affect the B +1 distribution and hence the image contrast, but also location and magnitude of the peak spatial SAR. Therefore, respiration effects may need to be included in safety analyses of RF coils applied to the human thorax.

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“…3D distributions of complex

{B}_1

Section: Methodsmentioning

confidence: 99%

“…Co-simulations and data analyses were performed using Python 3.9 30 with a script similar to the published CoSimPy-code. 31…”

Section: Rf Coilmentioning

confidence: 99%

The impact of respiratory motion on electromagnetic fields and specific absorption rate in cardiac imaging at 7T

Schön

Seifert

Petzold

et al. 2022

Magnetic Resonance in Med

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“…For the gradient coils, several open-source software tools exist to calculate the wiring paths based on predefined requirements such as linearity over a target volume or coil efficiency. 49,50,66,92,200 These digital models can then be exported to CAD software to design a holder for the gradient coil wire. For low-field head-only systems, the gradient coils are much more efficient, experience substantially lower Lorentz forces, and can be driven by much lower currents than for whole body high-field systems.…”

Section: Open-source Mr Scannersmentioning

confidence: 99%

“…To characterize and investigate the electromagnetic fields of these or similar RF coils, the open‐source electromagnetic simulation package MARIE is available 69,220 . While MARIE might be an alternative to costly proprietary EM simulation software, other open‐source software tools expand the functionality of proprietary software, such as CoSimPy, 51,221 which allows speedy circuit co‐simulations (e.g., for fast RF coil optimizations). To homogenize B 1 for multichannel transmit RF coils, the shimming toolbox that implements static B 1 shimming routines can be used 86,222 .…”

Section: Open‐source Mr Scannersmentioning

confidence: 99%

Open‐source magnetic resonance imaging: Improving access, science, and education through global collaboration

Winter,

Periquito,

Kolbitsch

et al. 2023

NMR in Biomedicine

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Open‐source practices and resources in magnetic resonance imaging (MRI) have increased substantially in recent years. This trend started with software and data being published open‐source and, more recently, open‐source hardware designs have become increasingly available. These developments towards a culture of sharing and establishing nonexclusive global collaborations have already improved the reproducibility and reusability of code and designs, while providing a more inclusive approach, especially for low‐income settings. Community‐driven standardization and documentation efforts are further strengthening and expanding these milestones. The future of open‐source MRI is bright and we have just started to discover its full collaborative potential. In this review we will give an overview of open‐source software and open‐source hardware projects in human MRI research.

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“…The existence of libraries makes Python programming more super󰅮icial and more convenient for programmers because there is no need to write the same code repeatedly for different programs. Python libraries that are available open-source provide convenience in carrying out data analysis and testing (Zanovello et al, 2022). The python library can be run on many operating systems (Chacon-Hurtado and Scholten, 2021).…”

Section: Python Librarymentioning

confidence: 99%

Exploratory Data Analysis of Exact Science and Social Science Learning Content on Digital Platform

Mambang

2022

Walisongo J. Inf. Technol.

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Data is one of the essential aspects in providing new information and new knowledge so that the data exploration process can provide policies on a decision for many sectors. Exploratory Data Analysis in this paper begins with collecting datasets contained on the Youtube digital platform. The dataset used was 30 samples found on the top page of youtube in each keyword. After conducting the Exploratory Data Analysis process, we found new learning content on the digital youtube platform. From the Exploratory Data Analysis that has been carried out, we also find different variations of the analysis's variables. The duration variable shows the result that the total duration of the overall duration in mathematics learning content that includes the Exact Science field is less than the psychology learning content included in the Social Science field. Meanwhile, the overall number of views on mathematics learning content is more than the number of views on psychology learning content. From the collecting dataset that we have made, showing a considerable number of views is undoubtedly the key to equitable distribution of information and knowledge for all users. More innovation and creating learning content are expected to encourage increased human development.

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CoSimPy: An open-source python library for MRI radiofrequency Coil EM/Circuit Cosimulation

Cited by 6 publications

References 26 publications

The impact of respiratory motion on electromagnetic fields and specific absorption rate in cardiac imaging at 7T

The impact of respiratory motion on electromagnetic fields and specific absorption rate in cardiac imaging at 7T

Open‐source magnetic resonance imaging: Improving access, science, and education through global collaboration

Exploratory Data Analysis of Exact Science and Social Science Learning Content on Digital Platform

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