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Ict 256 scanner

Manufactured by Philips
Sourced in Netherlands

The Philips ICT 256 scanner is a medical imaging device designed for computed tomography (CT) scanning. It features a 256-slice detector system, which enables high-resolution imaging of the body's internal structures. The core function of the ICT 256 scanner is to capture detailed cross-sectional images that can be used for diagnostic purposes by healthcare professionals.

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14 protocols using ict 256 scanner

1

Coronary CTA Imaging Protocol

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The applied coronary CTA protocol has been described previously in Bishop et al. (2016) (link). Briefly, coronary CTA data were acquired at Guy’s and St Thomas’ NHS Foundation Trust using a Philips 256 iCT scanner (Philips Healthcare, Amsterdam, Netherlands). The acquired coronary CTA data were reconstructed at 75% of the RR interval (most likely corresponding to the left atrial conduit phase) using an iterative reconstruction (iDose level 4) with 0.80 mm slice thickness, 0.40 mm slice increment, 250.00 mm field of view (approximate size), 512 × 512 matrix and a smooth reconstruction kernel (Donal et al., 2016 (link)).
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2

Multimodal Imaging for Kidney Disease

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Imaging data for all subjects were collected from Picture Archiving and Communication Systems as part of the diagnostic information for kidney disease. MRI images were taken using a 3.0 Tesla MRI system (Discovery MR 750, GE Signa advantage HDxt, GE Healthcare, USA). Fat image derived from the IDEAL-IQ sequence were collected for analysis set at a repetition time (TR) of 3.73 milli-seconds, echo time of 1.67 milli-seconds, a field of view of 400 mm x 400 mm, slice thickness of 8 mm, a matrix of 260 £ 224, and a flip angle of 12 degrees. Further, CT scans were performed on a Philips 256 iCT scanner (Philips Healthcare, Amsterdam, Netherlands), set at a tube voltage of 120 Kv, tube current of 660 mA, slice thickness of 5mm, slice spacing of 5 mm, field of view of 500 mm x 500 mm, and a matrix of 512 £ 512. All data were axial and without contrast enhancement.
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3

Comparative Imaging of Vertebral Deformities

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Lateral X-ray images of the thoracic spine (the current gold standard for assessment of vertebral deformities according to the Dutch guidelines [29 ]) were obtained by digital radiography (exposure at 125 kV; Digital Diagnost, Philips Health Care, Eindhoven, the Netherlands).
Lateral DXA images of the spine were obtained using a Hologic Discovery A (S/N83295) DXA scanner (Hologic, Tromp Medical Engineering BV, Castricum, the Netherlands). Both X-ray and DXA images were digitally available as Dicom files.
CCT scans of the chest were obtained using either a Philips Brilliance 64 (slice thickness 1 or 0.625) or a Philips iCT 256 scanner (slice thickness 1.25) (both 120 kVp, 350-mm field of view; Philips Health Care, Eindhoven, the Netherlands). To combine information of the sagittal reformats and to mimic the visualisation of the vertebrae on X-ray and DXA, all sagittal reformats containing the spine were superposed into one image: contrast was adjusted in the reformats to (partly) eliminate soft tissue, after which the sagittal reformats were superposed to create simulated X-ray images based on CCT using Matlab version R2013a (MathWorks®).
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4

Post-Implant CT Imaging Protocol for Seed Localization

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A non-contrast CT scan with 0.7-2.0 mm thick slices and O-MAR artifact reduction protocol was performed within 24 hours after the implant for all patients. Patients 2-5, 10, and 14 were scanned on a Philips Brilliance 64 scanner with 2.0 mm thick slices. Patients 1, 6-9, 11-13, and 15 were scanned on a Philips iCT 256 scanner with 0.7-2.0 mm thick slices. The implanted seeds were identified on the post-implant CT, and a post-implant treatment plan was created to confirm the seed location and delivered prescription dose. Figure 3 displays the pre-implant and post-implant treatment plan for patient 6.
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5

Multiphase CT Imaging Protocol

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All study participants underwent multiphase CT (iCT256 scanner, Philips Healthcare, Amsterdam, Netherlands) scanning immediately after the MRI. All participants were positioned head-first in supine position. After completion of non-contrast scanning 90-100 ml of the contrast agent Ioversol 320 (JIANGSU HENGRUI MEDICINE CO., LTD., Lianyungang, Jiangsu, China) was injected at the rate of 3 ml/s via an anterior elbow vein by an automated injector pump (Spectris Solaris EP, Medrad, Warrendale, PA, USA). The patients were asked to drink a cup of water through a straw immediately before the CT procedure. Covering the view from sternoclavicular joint to Lumbar 1 vertebrae, the arterial phase scanning (optimal for visualization of the tumor) was performed by tracking the aortic peak, followed by the venous (to detect mediastinal lymphadenopathy and distant metastasis) and delayed phase (to determine the benign nature of the stenosis) scanning at 30s and 2 min after the beginning of the arterial phase, respectively. CT scanning parameters were as follows: slice thickness = 5 mm, slice interval = 5 mm, voltage = 120KV, tube current = 300mAs, detector = 128 × 0.625, pitch = 0.993, FOV = 300 mm.
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6

CT Scans of Midface and Paranasal Sinuses

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Images from 64 patients who underwent CT scans of the mid-face and paranasal sinuses were selected at random from a database of scans performed between June 29, 2011, and August 16, 2012, at the University of California, Irvine Medical Center. This study was conducted under the review and approval of the institutional review board of the University of California, Irvine, in accordance with their guidelines. Patients provided written informed consent. Images were obtained from patients undergoing CT scans for indications including sinusitis, trauma, and other preoperative evaluations. All available cases were included regardless of the presence of fractures, the availability of radiologist documentation, or whether they were performed for acute trauma. Image sections were 1 mm thick (iCT 256 scanner; Philips). The patient demographics were characterized on the basis of age and sex. The mean age was 42 years (range, 3–83 years); the sample included 50 males and 14 females. Images with significant motion artifact or patient head rotation precluding image processing were excluded from the study.
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7

Detailed CT Scan Protocol for Lung Nodule Identification

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A Philips iCT 256 scanner (Brilliance, Philips, USA) was used for generating the CT scans. Initially, FOV of 400 mm, section thickness, and interval, 1.0 and 1.0 mm, respectively were applied for the routine CT scans. To identify the specific lung nodules, the following parameters were set for the target scans: 0.6–0.8 s scan time; matrix, 1,024 × 1,024; FOV, 140 mm; 120 kVp; and 250 mA. The reconstruction algorithms for the routine and target HRCT scans were referred to the previous study (17 (link)).
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8

Multimodal CT Radiomics for Tumor Characterization

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All patients underwent a multiphase contrast-enhanced CT examination before the operation. Abdominal CT scans were performed on an iCT 256 scanner (Philips, Amsterdam, Netherlands) with a tube voltage of 120 kV, a tube current of 251 mAs, a collimator thickness of 80 mm, a rotation time of 0.5 s, a screw pitch of 1.150:1 and a reconstructed layer thickness of 1.0 mm. The matrix size of CT was 512 × 512, the voxel size was 0.887 × 0.887 × 1.00 mm3, the field of view (FOV) was 450 mm. The scanning phase includes NC and enhancement scans. Enhanced scan was performed using a power-injector to inject intravenous iohexol (1 ml/kg) through the antecubital fossa at an injection rate of 3.5–4.5 ml/s. The AP and VP were scanned at 25–30 s and 60–70 s, respectively, after the injection of contrast.
The original images of NC, AP and VP were stored in the corresponding folders in DICOM format. One abdominal radiologist (Y T C) performed three-dimensional (3D) radiomics segmentation on NC, AP and VP images using ITK-SNAP software (version 3.6.0; www.itksnap.org). The window width and window level were seted at 40 and 300, respectively. For radiomics segmentation, the ROI was manually delineated on each slice of the tumor. Finally, each tumor generated three ROIs (NC, AP and VP).
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9

Tumor Segmentation from CT Images

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All CT images were acquired from the Philips Sence and Simplicity Brilliance iCT256 scanner. The image data was input into the workstation and processed with 3D-Slicer software to obtain the axial, sagittal as well as coronal 3D images of CT images. The lesions were analyzed, the tumor region and the non-tumor region were divided manually, and the grow-cut algorithm was used for interactive segmentation, so as to obtain more accurate tumor segmentation results. The analysis and processing work of image was jointly undertaken by two senior radiologists. If there was disagreement, it could consult the director of radiology for consultation and discussion.
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10

Multimodal Imaging of Lumbar Spine

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CT images were acquired in the supine position using a Philips ICT 256 scanner (318 slices, 1-mm thickness) and a lumbar spine protocol with iDose reconstruction. MR images were acquired in a fixed supine position using a Siemens Magnetom Essenza (1.5T field strength).
A standard lumbar spine protocol including conventional T1-weighted (T1W) and T2-weighted (T2W) sequences (acquisition time 15 minutes and 4 seconds), was complemented by a sagittal 3D radiofrequency-spoiled T1W multiple gradient echo) sequence for BoneMRI reconstruction (2 echoes; TR 7 msec, TE1 2.1 msec, TE2 4.2 msec; FOV 250 × 250 × 90 mm; reconstructed voxel size 0.74 × 0.74 × 0.9 mm, acquisition time 3 minutes and 53 seconds). This dedicated sequence utilized a high-frequency encode bandwidth (BW > 500 Hz/pix) to minimize potential geometrical distortions.
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