1.5 t ingenia mr scanner

Manufactured by Philips

Sourced in Netherlands

The Philips 1.5 T Ingenia MR scanner is a magnetic resonance imaging (MRI) system that operates at a magnetic field strength of 1.5 Tesla. It is designed to capture high-quality images of the body's internal structures for diagnostic purposes.

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Somatom definition as, by Siemens (1 mentions)

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Ingenia (1128 citations) Ingenia scanner (88 citations) 1.5-T MR scanner (13 citations) Ingenia 1.5 T scanner (12 citations) Ingenia MR scanner (12 citations)

4 protocols using 1.5 t ingenia mr scanner

MRI and CT Imaging of Gynecological Brachytherapy

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MR scans were conducted using a standard-bore 1.5 T Ingenia MR scanner (Philips Medical Systems, Cleveland, OH, USA) with a body coil. Images were acquired in three planes: para-axial, with slices oriented perpendicular to the long axis of the tandem/cylinder; para-sagittal; and para-coronal, with cuts parallel to the long axis of the tandem. According to the Groupe Européen de Curiethérapie (GEC-ESTRO) and the American Association of Physicists in Medicine (AAPM) task group (TG) report 303 [ 19 (link)
, 20 (link)
], T2-weighted (T2W) fast spin-echo (FSE) sequence is the required sequence for gynecology (GYN) BT. Therefore, all analyses were performed on a 2D T2-weighted sequence with the following
parameters: repetition time (TR)=3848 ms; echo time (TE)=90 ms; echo-train length (ETL)=30; voxel dimension=0.45×0.45×2 mm³ with no slice gaps; number of excitations (NEX)=2. Fat Sat pulse was not applied. A 2D image distortion correction algorithm provided by the vendor was utilized for all MR images. Both MR images with and without the applicator were acquired.
CT scans were generated using a 20-slice Siemens SOMATOM Definition AS (Siemens Healthcare, Forchheim, Germany) scanner. Scan parameters included collimation of 192×0.6, tube voltage of 120 kVp, pitch of 0.6, reference mAs of 343,
voxel dimension=0.625×0.625×2 mm³, and reconstruction with a convolution kernel of B30.

Kanani A., Fatemi-Ardakani A., Owrangi A.M., Yazdi M., Baghbani H, & Mosleh-Shirazi M.A. (2023). Quantification of Artifacts and Image Distortions in 1.5 Tesla Magnetic Resonance Images of a Commercial Multi-Channel Vaginal Cylinder Brachytherapy Applicator Set. Journal of Biomedical Physics & Engineering, 13(6), 523-534.

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Diffusion-Weighted MRI for Thyroid Nodules

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Data were collected in this study from 49 patients with pathologically proven thyroid nodules. The age range is 25 to 70 years. Imaging of the thyroid gland was performed at Mansoura University, Egypt with a 1.5 T Ingenia MR scanner (Philips Medical Systems, Best, Netherlands) using a head/neck circular polarization surface coil. All participants were fully informed about the aims of the study and provided their informed consent. The inclusion criteria for the study were untreated patients with thyroid nodules whose malignancy status was unclear from ultrasound examination. Patients underwent thyroid core biopsy or surgery after MR imaging. Histopathologic diagnoses were provided by an experienced cytologist or pathologist. In total, there are 17 malignant nodules in 17 patients and 40 benign nodules in 32 patients included in our study.
DWI volumes that employ a multislice, single-shot, spin-echo, echo-planar imaging sequence with TR = 10,000 ms, TE = 108 ms, and 125 kHz bandwidth were extracted. Axial diffusion-weighted slices over the region of interest were 5 mm thick with an inter-slice gap of 1 mm, 25 cm or 30 cm FOV, and 256 × 256 acquisition matrix. For DWI, a diffusion gradient was applied during scanning with b-values of

b = 500

s/mm

^{2}

b = 1000

s/mm

^{2}

, and

b = 1500

s/mm

^{2}

. T2-weighted images are extracted using b-value of

b = 0

s/mm

^{2}

Naglah A., Khalifa F., Khaled R., Abdel Razek A.A., Ghazal M., Giridharan G, & El-Baz A. (2021). Novel MRI-Based CAD System for Early Detection of Thyroid Cancer Using Multi-Input CNN. Sensors (Basel, Switzerland), 21(11), 3878.

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Optimizing MRI Protocols with Compressed SENSE

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For this retrospective study no ethical approval from the institutional review board (Cantonal Ethical Committee Zürich) was required because firstly, protocol optimization leading to reduction of procedure times in MR examinations is performed as part of regular quality control and thus does not require any ethical approval. As for the figures Informed written consent was obtained by the three patients, as specified by the institutional review board. All data used in this study was fully anonymized before it was accessed and analysed.
This study consisted of two parts; first, the MR imaging protocols were optimized after the introduction of Compressed SENSE. Subsequently, the log files of the system were analysed to investigate the effect on several relevant timing parameters. All exams in this study were performed on an Ingenia 1.5 T MR scanner (Philips, Best, the Netherlands).

Sartoretti E., Sartoretti T., Binkert C., Najafi A., Schwenk Á., Hinnen M., van Smoorenburg L., Eichenberger B, & Sartoretti-Schefer S. (2019). Reduction of procedure times in routine clinical practice with Compressed SENSE magnetic resonance imaging technique. PLoS ONE, 14(4), e0214887.

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Cardiac MRI Protocol for Comprehensive Assessment

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Cardiac magnetic resonance was performed according to the current guidelines 11 using an Ingenia 1.5 T MR scanner (Philips Healthcare, Best, The Netherlands). Dynamic contiguous short-axis cine loops from the base to the apex were acquired using a steady-state free precession (SSFP) sequence.
Thirty phases for each cardiac cycle were acquired using retrospective gating and expiratory breathhold. Long-axis (2 chamber and 4 chamber) SSFP cine loops were also acquired. The T2-weighted images were obtained with a triple inversion-recovery-prepared turbo spin-echo sequence in the short axis. Late-gadolinium enhancement images were acquired 10 min after the iv administration of 0.1 mmol/kg of Gadobutrol (Gadovist; Bayer Schering, Berlin, Germany). All acquired images were transferred to a workstation and assessed by a single expert reader.

Narducci M.L., Pelargonio G., La Rosa G., Inzani F., d'Amati G., Novelli V., Marano R., Perna F., Bencardino G., Pinnacchio G., Genuardi M., Cammarano M., Palmieri V., Zeppilli P, & Crea F. (2020). Role of extensive diagnostic workup in young athletes and nonathletes with complex ventricular arrhythmias. Heart rhythm, 17(2).

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