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32 channel cardiac phased array receiver coil

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The 32-channel cardiac phased array receiver coil is a specialized medical imaging device designed for use with Philips' magnetic resonance imaging (MRI) systems. The coil is optimized for high-quality cardiac imaging, providing a large number of independent receiver channels to enable advanced imaging techniques and improved signal-to-noise ratio. The core function of this coil is to efficiently receive and process the radiofrequency signals generated during the MRI examination of the heart and surrounding structures.

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Lab products found in correlation

Achieva 3t tx system, by Philips (1 mentions) Matlab, by MathWorks (1 mentions) Achieva, by Philips (1 mentions) Achieva tx, by Philips (1 mentions)

4 protocols using 32 channel cardiac phased array receiver coil

1

Cardiac MRI Evaluation of Myocardial Changes

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The study protocol included a CMR scan within 3–7 days of index presentation (acute scan), a second scan at 12 months. CMR examinations were performed on a 3T CMR system (Achieva TX, Philips Healthcare, Best, The Netherlands) equipped with a 32-channel cardiac phased array receiver coil, MultiTransmit technology and high-performance gradients with Gmax = 80mT/m and slew rate = 100 mT/m/ms. Survey images were used to plan vertical long-axis, horizontal long-axis, 3-chamber (LV outflow tract) views and the LV volume contiguous short axis stack. Cine imaging used a balanced steady-state free precession (bSSFP) pulse sequence (echo time (TE)/repetition time (TR)/flip angle 1.3 ms/2.6 ms/40°, spatial resolution 1.6 × 2.0 × 10 mm, typical temporal resolution 25 ms, slice thickness 8 mm, and 30 phases per cardiac cycle). Modified Look-Locker inversion recovery (MOLLI) to determine the T1-inversion time. LGE imaging was done at 15-min from gadolinium-based contrast injection, using phase sensitive inversion recovery (PSIR) spoiled gradient echo (GE) sequence (SENSE factor 1.7, typical TE/TR of 3.0/6.1 ms, flip angle of 25°, slice thickness of 10 mm and with Look-Locker scout determined T1-inversion time).
Das A., Kelly C., Ben-Arzi H., van der Geest R.J., Plein S, & Dall’Armellina E. (2022). Acute intra-cavity 4D flow cardiovascular magnetic resonance predicts long-term adverse remodelling following ST-elevation myocardial infarction. Journal of Cardiovascular Magnetic Resonance, 24, 64.
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2

Perfusion Quantification Accuracy Evaluation

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In the first set of experiments, we used synthetic data to demonstrate the sensitivity of deconvolution and MBF estimation to the delay time between tAIF and tOnset.
Then we tested the accuracy of the tOnset detection algorithm and validated it against gold standard perfusion measurements using an MR-compatible perfusion phantom.
In both experiments, we evaluated the impact of CNR on the detection of the onset arrival time and, thus, on the accuracy of perfusion estimates. For this purpose, the original data were corrupted by adding Rician noise of variable amplitudes to both Caif (t) and Ctiss(t) [12 (link)], [13 (link)]. The range of noise amplitude was chosen so that CNR in the both Caif (t) and Ctiss(t) would be between 5 and 40. Equal noise amplitudes were added to both Caif (t) and Ctiss(t) at each CNR level.
Finally, we compared the results of voxel-wise and segmental analysis performed with optimized tOnset with the results obtained from considering tOnset a free global parameter in phantom and in vivo.
All the analyses described in this study were performed using house-made software programmed with MATLAB (Mathworks, Natick, MA, USA, version R2010b). All data (phantom and patient) were acquired on a Philips Achieva 3T (TX) system, equipped with a 32-channel cardiac-phased array receiver coil (Philips Healthcare, Best, The Netherlands).
Zarinabad N., Hautvast G.L., Sammut E., Arujuna A., Breeuwer M., Nagel E, & Chiribiri A. (2014). Effects of Tracer Arrival Time on the Accuracy of High-Resolution (Voxel-Wise) Myocardial Perfusion Maps from Contrast-Enhanced First-Pass Perfusion Magnetic Resonance. IEEE transactions on bio-medical engineering, 61(9), 2499-2506.
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3

Cardiac Imaging on 1.5-T Philips Achieva

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All imaging sequences were implemented on a 1.5-T Philips Achieva (Philips Healthcare, Best, The Netherlands) system with a 32-channel cardiac phased-array receiver coil. The research protocol was approved by our institutional review board, and written informed consent was obtained from all participants in a HIPAA-compliant manner.
Basha T.A., Akçakaya M., Liew C., Tsao C.W., Delling F.N., Addae G., Ngo L., Manning W.J, & Nezafat R. (2017). Clinical Performance of High-Resolution Late Gadolinium Enhancement Imaging with Compressed Sensing. Journal of magnetic resonance imaging : JMRI, 46(6), 1829-1838.
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4

Multi-Modal MRI Cardiac Protocol

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The research protocol was approved by the local ethics committee and all subjects gave written informed consent. All studies were performed at a single centre equipped with a 3 T MRI scanner (Achieva TX, Philips Healthcare, Best, The Netherlands) using RF shimming and a 32-channel cardiac phased array receiver coil.
McDiarmid A.K., Swoboda P.P., Erhayiem B., Ripley D.P., Kidambi A., Broadbent D.A., Higgins D.M., Greenwood J.P, & Plein S. (2015). Single bolus versus split dose gadolinium administration in extra-cellular volume calculation at 3 Tesla. Journal of Cardiovascular Magnetic Resonance, 17(1), 6.
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