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cestsimu app  (MathWorks Inc)


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    Structured Review

    MathWorks Inc cestsimu app
    Layout of <t>CESTsimu</t> GUI, which consists of three modules: “Saturation Settings”, “Exchange Settings”, and “Phantom Settings”.
    Cestsimu App, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cestsimu app/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    cestsimu app - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "CESTsimu: An open‐source GUI for spectral and spatial CEST simulation"

    Article Title: CESTsimu: An open‐source GUI for spectral and spatial CEST simulation

    Journal: Magnetic Resonance in Medicine

    doi: 10.1002/mrm.30430

    Layout of CESTsimu GUI, which consists of three modules: “Saturation Settings”, “Exchange Settings”, and “Phantom Settings”.
    Figure Legend Snippet: Layout of CESTsimu GUI, which consists of three modules: “Saturation Settings”, “Exchange Settings”, and “Phantom Settings”.

    Techniques Used:

    Demonstration of the “Phantom Settings” module in CESTsimu. The simulation results are generated with amide concentrations ranging from 0.1 to 0.5 M. (A) 1D average Z‐spectra for all nine phantoms. (B) “Phantom Experiment Setting” window (pops up by clicking the “Exp. setting” button in the “Phantom Settings” module) to define exchange parameters for each phantom. (C) Grayscale Z‐value images at 3.5 ppm. (D) MTR asym color maps at 3.5 ppm. The red solid line in (A) indicates that the frequency offset for (C) and (D) is 3.5 ppm. (E,F) Randomly generated Δ B 0 map (e) and rB 1 map (F).
    Figure Legend Snippet: Demonstration of the “Phantom Settings” module in CESTsimu. The simulation results are generated with amide concentrations ranging from 0.1 to 0.5 M. (A) 1D average Z‐spectra for all nine phantoms. (B) “Phantom Experiment Setting” window (pops up by clicking the “Exp. setting” button in the “Phantom Settings” module) to define exchange parameters for each phantom. (C) Grayscale Z‐value images at 3.5 ppm. (D) MTR asym color maps at 3.5 ppm. The red solid line in (A) indicates that the frequency offset for (C) and (D) is 3.5 ppm. (E,F) Randomly generated Δ B 0 map (e) and rB 1 map (F).

    Techniques Used: Generated

    Simulation results from CESTsimu with various settings are presented as follows: (A) Z‐spectra with T rec values of 0, 0.2, 0.5, 1.0, 1.5, 2.0 s, and infinity (which is realized by checking the “Reset init. mag.” checkbox). (B) Z‐spectra with B 1 values of 0.8 μ T , 1.6 μ T , 2.4 μ T , and 3.0 μ T . (C) Z‐spectra with T sat of 0.5, 1.0, 2.0, and 3.0 s. (D,E) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan concentrations ranging from 0 to 100 mM in 12.5 mM increments. (F,G) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan exchange rates ranging from 200 to 1000 Hz in 100 Hz increments.
    Figure Legend Snippet: Simulation results from CESTsimu with various settings are presented as follows: (A) Z‐spectra with T rec values of 0, 0.2, 0.5, 1.0, 1.5, 2.0 s, and infinity (which is realized by checking the “Reset init. mag.” checkbox). (B) Z‐spectra with B 1 values of 0.8 μ T , 1.6 μ T , 2.4 μ T , and 3.0 μ T . (C) Z‐spectra with T sat of 0.5, 1.0, 2.0, and 3.0 s. (D,E) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan concentrations ranging from 0 to 100 mM in 12.5 mM increments. (F,G) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan exchange rates ranging from 200 to 1000 Hz in 100 Hz increments.

    Techniques Used:

    Δ B 0 and rB 1 maps simulated by CESTsimu (A,D) and measured using WASABI (B,E), along with the Bland‐Altman plot comparing B 0 and B 1 values from CESTsimu and WASABI (C,F).
    Figure Legend Snippet: Δ B 0 and rB 1 maps simulated by CESTsimu (A,D) and measured using WASABI (B,E), along with the Bland‐Altman plot comparing B 0 and B 1 values from CESTsimu and WASABI (C,F).

    Techniques Used:

    Simulation results on BMsim challenge Cases 1–4 obtained by CESTsimu and Pulseq‐CEST. (A) Amide proton transfer (APT) steady‐state preparation. (B,C) APT transient‐state preparation. (D) WASABI preparation.
    Figure Legend Snippet: Simulation results on BMsim challenge Cases 1–4 obtained by CESTsimu and Pulseq‐CEST. (A) Amide proton transfer (APT) steady‐state preparation. (B,C) APT transient‐state preparation. (D) WASABI preparation.

    Techniques Used:

    Simulation results on BMsim challenge Cases 5–8 obtained by CESTsimu and Pulseq‐CEST. (A) Single‐shaped pulse APT preparation. (B,C) Pulsed APT preparation. (D) WASABI preparation.
    Figure Legend Snippet: Simulation results on BMsim challenge Cases 5–8 obtained by CESTsimu and Pulseq‐CEST. (A) Single‐shaped pulse APT preparation. (B,C) Pulsed APT preparation. (D) WASABI preparation.

    Techniques Used:



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    MathWorks Inc cestsimu app
    Layout of <t>CESTsimu</t> GUI, which consists of three modules: “Saturation Settings”, “Exchange Settings”, and “Phantom Settings”.
    Cestsimu App, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cestsimu app/product/MathWorks Inc
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    		  Buy from Supplier

    Image Search Results


    Layout of CESTsimu GUI, which consists of three modules: “Saturation Settings”, “Exchange Settings”, and “Phantom Settings”.

    Journal: Magnetic Resonance in Medicine

    Article Title: CESTsimu: An open‐source GUI for spectral and spatial CEST simulation

    doi: 10.1002/mrm.30430

    Figure Lengend Snippet: Layout of CESTsimu GUI, which consists of three modules: “Saturation Settings”, “Exchange Settings”, and “Phantom Settings”.

    Article Snippet: No additional MATLAB toolbox is required when installing the CESTsimu App.

    Techniques:

    Demonstration of the “Phantom Settings” module in CESTsimu. The simulation results are generated with amide concentrations ranging from 0.1 to 0.5 M. (A) 1D average Z‐spectra for all nine phantoms. (B) “Phantom Experiment Setting” window (pops up by clicking the “Exp. setting” button in the “Phantom Settings” module) to define exchange parameters for each phantom. (C) Grayscale Z‐value images at 3.5 ppm. (D) MTR asym color maps at 3.5 ppm. The red solid line in (A) indicates that the frequency offset for (C) and (D) is 3.5 ppm. (E,F) Randomly generated Δ B 0 map (e) and rB 1 map (F).

    Journal: Magnetic Resonance in Medicine

    Article Title: CESTsimu: An open‐source GUI for spectral and spatial CEST simulation

    doi: 10.1002/mrm.30430

    Figure Lengend Snippet: Demonstration of the “Phantom Settings” module in CESTsimu. The simulation results are generated with amide concentrations ranging from 0.1 to 0.5 M. (A) 1D average Z‐spectra for all nine phantoms. (B) “Phantom Experiment Setting” window (pops up by clicking the “Exp. setting” button in the “Phantom Settings” module) to define exchange parameters for each phantom. (C) Grayscale Z‐value images at 3.5 ppm. (D) MTR asym color maps at 3.5 ppm. The red solid line in (A) indicates that the frequency offset for (C) and (D) is 3.5 ppm. (E,F) Randomly generated Δ B 0 map (e) and rB 1 map (F).

    Article Snippet: No additional MATLAB toolbox is required when installing the CESTsimu App.

    Techniques: Generated

    Simulation results from CESTsimu with various settings are presented as follows: (A) Z‐spectra with T rec values of 0, 0.2, 0.5, 1.0, 1.5, 2.0 s, and infinity (which is realized by checking the “Reset init. mag.” checkbox). (B) Z‐spectra with B 1 values of 0.8 μ T , 1.6 μ T , 2.4 μ T , and 3.0 μ T . (C) Z‐spectra with T sat of 0.5, 1.0, 2.0, and 3.0 s. (D,E) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan concentrations ranging from 0 to 100 mM in 12.5 mM increments. (F,G) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan exchange rates ranging from 200 to 1000 Hz in 100 Hz increments.

    Journal: Magnetic Resonance in Medicine

    Article Title: CESTsimu: An open‐source GUI for spectral and spatial CEST simulation

    doi: 10.1002/mrm.30430

    Figure Lengend Snippet: Simulation results from CESTsimu with various settings are presented as follows: (A) Z‐spectra with T rec values of 0, 0.2, 0.5, 1.0, 1.5, 2.0 s, and infinity (which is realized by checking the “Reset init. mag.” checkbox). (B) Z‐spectra with B 1 values of 0.8 μ T , 1.6 μ T , 2.4 μ T , and 3.0 μ T . (C) Z‐spectra with T sat of 0.5, 1.0, 2.0, and 3.0 s. (D,E) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan concentrations ranging from 0 to 100 mM in 12.5 mM increments. (F,G) ROI‐averaged Z‐spectra and MTR asym maps (at 2 ppm) with Guan exchange rates ranging from 200 to 1000 Hz in 100 Hz increments.

    Article Snippet: No additional MATLAB toolbox is required when installing the CESTsimu App.

    Techniques:

    Δ B 0 and rB 1 maps simulated by CESTsimu (A,D) and measured using WASABI (B,E), along with the Bland‐Altman plot comparing B 0 and B 1 values from CESTsimu and WASABI (C,F).

    Journal: Magnetic Resonance in Medicine

    Article Title: CESTsimu: An open‐source GUI for spectral and spatial CEST simulation

    doi: 10.1002/mrm.30430

    Figure Lengend Snippet: Δ B 0 and rB 1 maps simulated by CESTsimu (A,D) and measured using WASABI (B,E), along with the Bland‐Altman plot comparing B 0 and B 1 values from CESTsimu and WASABI (C,F).

    Article Snippet: No additional MATLAB toolbox is required when installing the CESTsimu App.

    Techniques:

    Simulation results on BMsim challenge Cases 1–4 obtained by CESTsimu and Pulseq‐CEST. (A) Amide proton transfer (APT) steady‐state preparation. (B,C) APT transient‐state preparation. (D) WASABI preparation.

    Journal: Magnetic Resonance in Medicine

    Article Title: CESTsimu: An open‐source GUI for spectral and spatial CEST simulation

    doi: 10.1002/mrm.30430

    Figure Lengend Snippet: Simulation results on BMsim challenge Cases 1–4 obtained by CESTsimu and Pulseq‐CEST. (A) Amide proton transfer (APT) steady‐state preparation. (B,C) APT transient‐state preparation. (D) WASABI preparation.

    Article Snippet: No additional MATLAB toolbox is required when installing the CESTsimu App.

    Techniques:

    Simulation results on BMsim challenge Cases 5–8 obtained by CESTsimu and Pulseq‐CEST. (A) Single‐shaped pulse APT preparation. (B,C) Pulsed APT preparation. (D) WASABI preparation.

    Journal: Magnetic Resonance in Medicine

    Article Title: CESTsimu: An open‐source GUI for spectral and spatial CEST simulation

    doi: 10.1002/mrm.30430

    Figure Lengend Snippet: Simulation results on BMsim challenge Cases 5–8 obtained by CESTsimu and Pulseq‐CEST. (A) Single‐shaped pulse APT preparation. (B,C) Pulsed APT preparation. (D) WASABI preparation.

    Article Snippet: No additional MATLAB toolbox is required when installing the CESTsimu App.

    Techniques: