Clinical 1.5T DCE MRI was obtained from 357 breast cancer patients, whose characteristics are summarized in Table 1 . Data for each subject includes a single precontrast and four serial dynamic image volumes acquired at a temporal resolution of 90s/phase obtained before and immediately after intravenous bolus infusion of a contrast agent. 221 subjects were obtained from Parkland Hospital, Dallas, Texas where dynamic VIBRANT sagittal images were acquired with a GE Optima MR450w 1.5T scanner using 0.1 mmol/kg gadopentetate dimeglumine contrast medium. The remaining 136 subjects came from UT Southwestern Medical Center, Dallas, Texas where dynamic FSPGR (THRIVE) axial images are acquired with a Philips Intera 1.5T scanner using 0.1 mmol/kg Gadavist contrast medium. Additionally, four clinical features were obtained including age (yrs), estrogen receptor status (ER), human epidermal growth factor receptor-2 (HER2), and a marker for proliferation (Ki-67). Clinical node status (cNode) ground truth was determined by one of 13 board-certified radiologists, fellowship-trained in breast imaging and breast MRI, who assess the 4D DCE MRI and ultrasound imaging information, clinical measures, clinical history available at the time of the image reading.
Intera 1.5t scanner
Manufactured by Philips
Sourced in Netherlands
The Intera 1.5T scanner is a magnetic resonance imaging (MRI) system manufactured by Philips. It operates at a field strength of 1.5 Tesla, which is a common field strength used in clinical MRI. The core function of the Intera 1.5T scanner is to generate high-quality images of the human body for diagnostic purposes.
Automatically generated - may contain errors
7 protocols using intera 1.5t scanner
1
Breast Cancer DCE-MRI Protocol Database
2
PET and MRI Imaging Protocols
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[18F]FDG was synthesised with an automatic apparatus as described by Hamacher et al [16 (link)]. PET images were acquired using the PET scanner GE Advance (General Electric Medical Systems, Milwaukee, WI, USA), which has a transaxial resolution of 3.8 mm (full width at half maximum [FWHM]) and slice width of 4.2 mm in the centre of the imaging field [17 (link)]. A transmission scan of 5 min was performed before the emission scan to correct for the tissue attenuation of gamma photons. All image data were corrected for dead time, decay and photon attenuation. MRI was performed using a Philips Intera 1.5 T scanner (Best, the Netherlands). The whole body of a participant was scanned with axial in-and-out-of-phase images with a repetition time of 120 ms, echo times of 2.3 ms and 4.63 ms, a slice thickness of 10 mm and a matrix 530 × 530 mm2.
3
Multimodal MRI Acquisition Protocol
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Participants were scanned on an Intera 1.5 T scanner (Philips Healthcare, Best, the Netherlands). The MRI protocol included three sequences: axial three-dimensional T1-weighted, proton-density/T2-weighted, and axial turbo fluid attenuated inversion recovery (FLAIR). The T1-weighted MRI images were acquired with a 3D fast field echo with the following parameters: repetition time [TR] 15 ms, echo time [TE] 7 ms, flip angle [FA] 15o, field of view [FOV] 240, 128 slices with slice thickness 1.5 mm, and in-plane resolution 0.94 × 0.94 mm, no gap, and matrix 256 × 256. The parameters for the a proton-density/T2-weighted sequence were TR 3995 ms, TE 18/90 ms, echo-train length 6, FA 90°, and 60 3-mm sequential images without a gap or angulation. The parameters for FLAIR were TR 6000 ms, TE 100 ms, inversion time 1900 ms, FA 90o, echo train length 21, FOV 230, 22 slices with slice thickness 5 mm, in-plane resolution 0.90 × 0.90 mm, gap 1 mm, and matrix 256 × 256 [17 –19 (link)].
4
Anatomical Delineation of Cortical Gyri
5
DCE-MRI Evaluation of Rectal Tumor Perfusion
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Perfusion of rectal tumors was evaluated by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using a Philips Intera 1.5 T scanner and a Philips Achieva (Philips Medical Systems, The Netherlands). Images were acquired as a part of a standard clinical high-resolution rectal protocol, with a T2-weighted fast spin-echo images (section thickness, 3 mm), axial T1-weighted fast spin-echo images, axial free-breathing diffusion-weighted images (b values of 0, 800 and 1000 sec/mm2) and axial free-breathing images, T1-weighted fast field echo, 3D. Acquisition of DCE-MRI images of the entire tumor started 30 seconds before intravenous administration of 0.1 mM gadobutrol (0.1 ml of Gadovist, Bayer, Germany) per kg of body weight followed by a 20 mL saline flush at a rate of 2.0 mL/sec. Patients were evaluated before and on day 4 after treatment initiation with dDAVP, considering the area under the curve (AUC) as the main parameter for reduction of tumor perfusion.
6
Infant Brain Functional Connectivity Mapping
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For the Swedish cohort, infants were scanned during natural sleep. Functional MRI scans were acquired on a Philips Intera 1.5 T scanner equipped with a 6-channel receiveonly head coil. Echo planar imaging [time repetition (TR)/ time echo (TE)/flip angle = 2000 ms/50 ms/80°, voxel size = 2.8 × 2.8 × 4.5 mm, 20 slices] of the infant brain was performed for 10 min (300 EPI volumes). For the London cohort, infants were sedated with chloral hydrate (25-50 mg/ kg) and images were acquired at 3 T (Achieva, Philips, Best, Netherlands) with an 8-channel phased array head coil. Echo planar imaging (TR/TE/flip angle = 1500 ms/45 ms/90º, 2.5 × 2.5 × 3.25 mm, 22 slices) was performed for 6.4 min. In both groups, T1-weigthed images were acquired in each neonate. Although it is unconventional to merge data obtained from two different MRI scanners for combined group-level inference, we were confronted with the scarcity of the publically available data at this age and the small size of the groups. Note that our first-level comparisons were computed within-subject searching for differences in functional connectivity between voxels. By merging the two groups, we probably increased the variance between subjects but we benefited from more degrees of freedom. To capture the group differences, a group-factor was declared in our statistical analyses.
7
Dynamic 18F-DPA-714 PET Imaging Protocol
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Structural T1-weighted MR images were acquired for all subjects on an Intera 1.5-T scanner (Philips). Dynamic PET emission scans (90 min) were acquired using an ECAT EXACT HR1 scanner (CTI/ Siemens) after administration of 250 6 10 MBq of 18 F-DPA-714.
Before this emission scan, a transmission scan was acquired for attenuation correction purposes. Dynamic scans were reconstructed into a single dynamic dataset of 33 frames (6 • 5, 3 • 10, 3 • 20, 4 • 60, 6 • 180, and 11 • 360 s) using 2-dimensional filtered backprojection with Fourier rebinning, a Hanning filter (cutoff, 0.5), a matrix size of 256 • 256 • 47, a field of view of 15.7 cm, and a final voxel size of 1.17 • 1.17 • 3.27 mm. All appropriate corrections for dead time, attenuation, scatter, and randoms were applied during reconstruction. In addition, the metabolite-corrected parent plasma input function was measured using an automated arterial blood sampling system (ABSS; Allogg), together with manual blood samples collected at 6 different times (5, 10, 20, 30, 45 , and 60 min after injection). These manual samples were used to estimate plasma-to-whole-blood concentration ratios and labeled metabolite fractions.
Before this emission scan, a transmission scan was acquired for attenuation correction purposes. Dynamic scans were reconstructed into a single dynamic dataset of 33 frames (6 • 5, 3 • 10, 3 • 20, 4 • 60, 6 • 180, and 11 • 360 s) using 2-dimensional filtered backprojection with Fourier rebinning, a Hanning filter (cutoff, 0.5), a matrix size of 256 • 256 • 47, a field of view of 15.7 cm, and a final voxel size of 1.17 • 1.17 • 3.27 mm. All appropriate corrections for dead time, attenuation, scatter, and randoms were applied during reconstruction. In addition, the metabolite-corrected parent plasma input function was measured using an automated arterial blood sampling system (ABSS; Allogg), together with manual blood samples collected at 6 different times (5, 10, 20, 30, 45 , and 60 min after injection). These manual samples were used to estimate plasma-to-whole-blood concentration ratios and labeled metabolite fractions.
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