Ideal iq

Manufactured by GE Healthcare

Sourced in United States

IDEAL IQ is a lab equipment product from GE Healthcare. It is designed to perform quantitative imaging analysis and tissue characterization. The core function of IDEAL IQ is to provide non-invasive assessment of tissue properties through magnetic resonance imaging (MRI) technology.

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Lab products found in correlation

Mdixon quant, by Philips (3 mentions) Ingenia elition x, by Philips (1 mentions) Discovery mr750w, by GE Healthcare (1 mentions) Osirix, by Pixmeo (1 mentions) Signa premier, by GE Healthcare (1 mentions) Discovery mr750, by GE Healthcare (1 mentions) Discovery mr750 3.0 tesla, by GE Healthcare (1 mentions) Ge750, by GE Healthcare (1 mentions) 3t imager, by GE Healthcare (1 mentions) Optima mr450w, by GE Healthcare (1 mentions)

17 protocols using ideal iq

Hepatic Fat Fraction Measurement via MRI

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For the measurement of intrahepatic fat content, we acquired MRI of the liver and measured HFF using a modified Dixon method with previously reported methodology (IDEAL‐IQ; GE Healthcare, Waukesha, WI, USA)11, 12 at the start of canagliflozin administration, and 6 and 12 months thereafter.
IDEAL‐IQ images representing HFF were acquired during a single breath hold using a Discovery MR750w Expert 3.0 Tesla or a Discovery MR750 3.0 Tesla (GE Healthcare). Imaging parameters on the MR750w scanner were as follows: repetition time/first echo time/Δecho time: 8.3/1.0/0.9 ms; number of echoes, six; flip angle, 4°; matrix, 160 × 160; slice thickness, 6 mm; bandwidth, ±111.11 kHz; field of vision, 36–50 cm; and acquisition time, 22 s. When using the MR750 scanner, after modification was applied: repetition time/first echo time/Δecho time, 6.3/1.0/0.8 ms; flip angle, 3°; and acquisition time, 19 s, based on the manufacturer's recommendation.
Image analysis was carried out by two authors (MI, AH) blinded to the clinical records to determine quantitative estimates of HFF under the presence of a third‐party doctor who was not involved in this study. As the region of interest, the whole liver was manually demarcated on the slice where the liver area was largest, avoiding major bile ducts and vascular structures.

Inoue M., Hayashi A., Taguchi T., Arai R., Sasaki S., Takano K., Inoue Y, & Shichiri M. (2019). Effects of canagliflozin on body composition and hepatic fat content in type 2 diabetes patients with non‐alcoholic fatty liver disease. Journal of Diabetes Investigation, 10(4), 1004-1011.

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Liver Fat Quantification by MRI PDFF

Cited 2 times

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Final PDFF was measured from a 6-point Dixon imaging sequence (IDEAL-IQ, GE Healthcare) if available (N = 92) and from a 2-point Dixon imaging sequence otherwise (N = 160). Among 92 patients with 6-point Dixon images, 87 of them also had 2-point Dixon imaging data, and PDFF results from two methods were compared. All PDFF images were acquired during the same MRI examination as the MRE. The detailed imaging protocol for Dixon imaging with two or six echoes has been previously reported [23 (link), 24 (link)]. For each subject, the mean value of three non-overlapped ROIs in the right lobe of the liver was recorded as the final PDFF.

Chen J., Allen A.M., Therneau T.M., Chen J., Li J., Hoodeshenas S., Chen J., Lu X., Zhu Z., Venkatesh S.K., Song B., Ehman R.L, & Yin M. (2021). Liver stiffness measurement by magnetic resonance elastography is not affected by hepatic steatosis. European radiology, 32(2), 950-958.

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Multiparametric Liver Imaging Protocol

Cited 1 time

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MRE was performed using an active-passive driver system and either a 2-dimensional gradient-recalled echo or 2-dimensional spin-echo echo-planar imaging elastography sequence according to r routine clinical practice.^{24 (link)} Four axial elastograms were generated through the mid-liver, and regions of interest were drawn manually according to routine clinical practice by dedicated image postprocessors. Overall liver stiffness was then reported as a weighted mean (by region of interest area) of the mean stiffness values for each of the 4 elastograms.
Liver PDFF was measured on images acquired with either IDEAL IQ (GE Healthcare, Chicago, Illinois) or mDIXON Quant (Philips Healthcare; Best, The Netherlands) sequences performed according to vendor specifications. The same group of postprocessors who analyzed the MRE data drew regions of interest, which included hepatic parenchyma and excluded large vessels on 4 axial slices.^{24 (link)} PDFF was expressed as the mean of values from the 4 slices.^{24 (link)}

Yodoshi T., Orkin S., Arce Clachar A.C., Bramlage K., Sun Q., Fei L., Beck A.F., Xanthakos S.A., Trout A.T, & Mouzaki M. (2020). Muscle Mass Is Linked to Liver Disease Severity in Pediatric Nonalcoholic Fatty Liver Disease. The Journal of pediatrics, 223, 93-99.e2.

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Multiparametric Lumbar Spine MRI Protocol

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Spinal MR was performed using a 3-T MR scanner (Discovery MR750w, GE Healthcare, Madison, WI, GE Healthcare and Ingenia Elition X, Philips Healthcare, Best, Netherlands). Conventional MR sequences of the lumbar spine included at least a sagittal T1-weighted spin-echo, sagittal fat-suppressed T2-weighted spin-echo, axial T1-weighted spin-echo, and axial T2-weighted spin-echo images. Field of view, matrix, size, slice thickness, and interslice gap were tailored to the specific site under study. Detailed imaging parameters are summarized in Supplementary Table S1 online.
For PDFF estimation, six-echo 3D gradient-echo modified chemical shift-encoded images (IDEAL-IQ, GE Healthcare and mDixon Quant, Philips Healthcare) were acquired. The imaging parameters are summarized in Supplementary Table S2 online. Following acquisition, each image was reconstructed automatically and simultaneously into PDFF maps.

Lee H., Park S., Kwack K.S, & Yun J.S. (2023). CT and MR for bone mineral density and trabecular bone score assessment in osteoporosis evaluation. Scientific Reports, 13, 16574.

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Quantifying Quadriceps Myosteatosis via MRI

Cited 1 time

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Each participant was screened for MRI safety before undergoing any MRI procedures. Participants were scanned while supine using a 3.0T MRI scanner (SIGNA Premier, GE Healthcare, Waukesha, WI) with a 30-channel array AIR anterior receive coil centered over the thigh. Participants underwent single-shot fast spin-echo sequence to orient and localize the mid-thigh and pelvis. A commercial confounder-corrected chemical shift encoded MRI (CSE MRI) method (IDEAL IQ, GE Healthcare) was used to generate PDFF maps of the thigh in both legs. The acquisition was performed using the following parameters: TR = 7.2 ms, 6 echoes in two echo trains of 3 echoes, 3° flip angle, 220 × 220 × 36 matrix, 46 × 46 cm² field of view, 6 mm slice thickness (35 (link)).
One trained researcher analyzed the PDFF images that matched quadriceps anatomy of the ultrasound brightness mode images in OsiriX (Pixmeo SARL, Geneva, Switzerland). The researcher measured RF cross-sectional area, whole-leg cross-sectional area, and RF PDFF for each participant. The researcher used circular, 1 cm² regions of interest (ROI) in the RF centrally to obtain RF PDFF values (see Figure 1). We used RF PDFF as the MRI-based measure of myosteatosis.

Lortie J., Rush B., Osterbauer K., Colgan T.J., Tamada D., Garlapati S., Campbell T.C., Traynor A., Leal T., Patel V., Helgager J.J., Lee K., Reeder S.B, & Kuchnia A.J. (2022). Myosteatosis as a Shared Biomarker for Sarcopenia and Cachexia Using MRI and Ultrasound. Frontiers in Rehabilitation Sciences, 3, 896114.

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Quantifying Fat and Iron using MRI

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Vials that mimic the simultaneous presence of fat and iron were constructed using a recently developed procedure (22 ). Three groups of 5 mL vials, with nominal fat fractions 0%, 15%, and 30%, were constructed with varying iron concentrations (with desired R₂*= 200,400,600,1000 s⁻¹). The iron concentration in each group of vials was obtained by varying the concentration of microspheres (2.9 μm diameter magnetite spheres COMPEL, Bangs Labs, Fishers, IN).
Vials were scanned in a custom designed spherical housing that was filled with deionized water to create a homogeneous magnetic field and avoid fat-water swaps. The two protocols listed in Table 1 were used to scan the phantom on a clinical 1.5T MRI system (GE Healthcare Signa HDxt, Waukesha, WI) using an 8-channel head coil (MRI Devices, Harrogate, UK) and on a clinical 3.0T MR system (Discovery MR750, GE Healthcare, Waukesha, WI) using a 32-channel torso coil (NeoCoil, Pewaukee, WI). All sequences were a commercial quantitative complex confounder-corrected CSE-MRI method (IDEAL IQ, GE Healthcare, Waukesha, WI)

Colgan T.J., Zhao R., Roberts N.T., Hernando D, & Reeder S.B. (2021). Limits of Liver Fat Quantification with Chemical Shift Encoded MRI in the Presence of Iron Overload. Journal of magnetic resonance imaging : JMRI, 54(4), 1166-1174.

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Multiparametric Proton Imaging Protocol

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Proton imaging was performed with standard clinical imaging sequences and the full-volume body coil for both transmit and receive (Table 1). T₁-weighted spoiled gradient echo and T₂-weighted single-shot fast spin echo images were obtained for scan planning and anatomic registration of ¹³C data. In addition, multi-echo gradient echo acquisition (Iterative Decomposition of water and fat with Echo Asymmetry and Least square estimation (IDEAL IQ), GE Healthcare) was used to generate fat fraction, T₂*, and ΔB₀ maps. All images were acquired at end-inspiration to match the positioning of the ¹³C images.

Lee P.M., Chen H.Y., Gordon J.W., Wang Z.J., Bok R., Hashoian R., Kim Y., Liu X., Nickles T., Cheung K., De Las Alas F., Daniel H., Larson P.E., von Morze C., Vigneron D.B, & Ohliger M.A. (2022). Whole-Abdomen Metabolic Imaging of Healthy Volunteers Using Hyperpolarized [1-13C]pyruvate MRI. Journal of magnetic resonance imaging : JMRI, 56(6), 1792-1806.

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Multiparametric MRI Liver Protocol

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Per standard clinical practice (22 (link),23 ), abdominal MRI examinations had been performed without intravenous contrast material and with an active-passive driver system operated at 60 Hz, utilizing either a two-dimensional gradient recalled echo or two-dimensional spin-echo echo-planar imaging elastography sequence. Four axial slices through the mid liver had been obtained to generate shear wave and elastogram images. Regions of interest had been drawn manually by dedicated Department of Radiology imaging postprocessors for the measurement of liver stiffness (guided by 95% confidence maps), and overall liver stiffness was expressed as the weighted mean of the mean liver stiffness values for each of the four elastograms (22 (link)).
Liver PDFF imaging was performed with IDEAL IQ (GE Healthcare; Waukesha, WI) or mDIXON Quant (Philips Healthcare; Best, The Netherlands). The same postprocessors drew ovoid regions of interest for PDFF measurements that included as much liver parenchyma as possible while excluding large vessels. PDFF measurements were performed on four slices through the mid-liver with overall liver PDFF expressed as a mean of these values.

Yodoshi T., Orkin S., Trout A.T., Catalina Arce-Clachar A., Bramlage K., Liu C., Fei L., Dillman J.R., Xanthakos S.A, & Mouzaki M. (2021). Non-Invasive Approaches to Estimate Liver Steatosis and Stiffness in Children With Non-Alcoholic Fatty Liver Disease. Journal of pediatric gastroenterology and nutrition, 74(4), 495-502.

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CEST Imaging in Healthy Subjects

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The ZSI concept was then tested on healthy human subjects (n=5, male, age 30–40, BMI 21–27) at a clinical 3T MRI scanner (GE750, GE Healthcare, Waukesha, WI) with a 32 channels cardiac coil. The saturation pulse consisted of a train of 10 Hanning windowed saturation pulses 98 ms long with a 2 ms inter-pulse delay, resulting in a excitation of 3.5 μT for 1 s. Saturation was followed by a single shot FLASH readout with centric phase encoding order with parameters: slice thickness = 10 mm, flip angle = 10°, shot TR = 6 s, TE = 3.2 ms, field of view = 48 × 48 cm², matrix size = 128 × 128, and in-plane resolution = 3.75×3.75 mm². CEST images were collected at 16 frequencies, specifically from −4.75 to 4.75 ppm with 0.64 ppm intervals and a 100 ppm image for referencing. The acquisition time for collecting the partial Z-Spectrum was about 3.5 min. In addition, a Dixon 6-points sequence with IDEAL reconstruction was acquired in the same session to quantify the fat fraction distribution. The sequence is the GE commercial version (IDEAL IQ), with a model including 6 fat peaks and 6 echoes: TE₁ = 1.3 ms, ΔTE=2.0 ms, TR = 7.3s, matrix size = 256x256(27 ,28 ).

Scotti A., Tain R.W., Li W., Gil V., Liew C.W, & Cai K. (2017). Mapping Brown Adipose Tissue Based on Fat Water Fraction Provided by Z-Spectral Imaging. Journal of magnetic resonance imaging : JMRI, 47(6), 1527-1533.

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Quantifying Hepatic Fat Fraction

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A six-echo Dixon method was used to acquire the measurement of hepatic fat fraction. Water and fat images, PDFF, and R2* (1/T2*, the relaxation rates of observable or effective T2) maps were obtained from image reconstruction (IDEAL-IQ, GE Healthcare). The measurements of PDFF and R2* were calculated from regions of interest (ROIs) manually drawn in nine anatomic segments by two analysts (J.L. with 5 years of experience, and X.L. with 2 years of experience), respectively.

Liberati N.T., Datto M.B., Frederick J.P., Shen X., Wong C., Rougier-Chapman E.M, & Wang X.F. (1999). Smads bind directly to the Jun family of AP-1 transcription factors. Proceedings of the National Academy of Sciences of the United States of America, 96(9), 4844-4849.

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