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Volume viewer

Manufactured by GE Healthcare
Sourced in United States

The Volume Viewer is a software tool designed for medical imaging professionals. It enables the visualization and analysis of three-dimensional medical images, such as those obtained from CT or MRI scans. The core function of the Volume Viewer is to provide a comprehensive set of tools for viewing, manipulating, and interpreting volumetric data, allowing healthcare professionals to make informed decisions about patient care.

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8 protocols using volume viewer

1

Automated Liver Volume Measurement

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We acquired LV from CT images within 3 days of admission using the automated software Volume Viewer (General Electric Medical Systems) in 5‐mm axial images. LVs were determined by a hepatic radiologist (CXL) who was unaware of the outcome and clinical characteristics of patients when evaluating LV. The contours in the intermediate slices were obtained by automated linear interpolation and were subsequently inspected and corrected manually if necessary (Figure S1). A randomly selected cohort of imaging data was double reported by a senior hepatic radiologist (YLZ) to determine intra‐ and inter‐observer agreement. Ratio of LV to ELV (LV/ELV%) was used to eliminate various individual differences for liver atrophy, and estimated liver volume (ELV) was calculated by the formula: ELV = 203.3 − (3.61 × age) + (58.7 × thoracic width (cm)) ‐ (463.7 × race [1 = Asian, 0 = Caucasian]).14
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2

Pituitary Gland 3D Volume Quantification

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MRI 3D data sets of the pituitary were imported into an external analysis software (Volume Viewer, GE-Healthcare, Chicago, IL, USA). The external contours of the anterior pituitary gland were manually delineated in all axial slices covering the anterior pituitary (≤ 10 slices). The posterior pituitary gland was differentiated from the anterior gland by its brighter signal intensity. The volume was obtained by adding the areas of each slice. Volumes were independently assessed by two operators (CB and BS) to determine interoperator variability (V2DCB and V2DBS).
In a more complex step, delineation of pituitary contours was controlled and eventually corrected in all 3 planes (axial, coronal, sagittal) resulting in a fine-tuned 2D volume (V2Dtuned). One data set was processed in about 5–10 min.
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3

Optimal Atlas Lateral Mass Screw Placement

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One hundred ALMs were evaluated using cervical spine CT (VCT XTe scanner, GE Healthcare, Little Chalfont, UK) studies involving fifty consecutive adults. All cases were evaluated using a trauma protocol, with a slice thickness of 0.5 or 1.25 mm. We excluded cases with evidence of upper cervical injury, infection, tumors, anatomical abnormalities, or cases where the C1 vertebral images were unclear. Reconstruction of the atlas vertebra was performed and then isolated from the surrounding structures [Figure 1]. Both the reconstructions and measurements were performed using three-dimensional (3D) workstations (Volume Viewer, GE Healthcare). Measurements were performed using the axial view at the widest ALM diameter.
As previously reported, atlas instrumentation is safest when approaching the middle of the ALM;[1 (link)6 (link)8 (link)] therefore, the ALM midpoint was determined on the CT images. Using MEC1 as an anatomic reference, two entry points on the posterior surface of the ALM were determined. The first point (0 mm point) was along MEC1, whereas the second (2 mm point) was 2 mm lateral to MEC1 [Figure 1a]. Both points were compared for their proximity to the ALM midpoint and the distance from the medial edge of the ALM. The 2 mm point was chosen as an initial estimate for proximity to the ALM midpoint.
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4

Abdominopelvic CT Imaging Protocol

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CT scans were obtained on a MDCT (LightSpeed VCT XT; GE Healthcare, Milwaukee, WI, USA; or LightSpeed Pro 16; GE Healthcare). The scanners were set to the following parameters: detector collimation, 64 × 0.625 mm and 16 × 1.25 mm; helical pitch, 0.984 and 0.938; section thickness/interval, 3.75/3.75 mm and 3.75/3.75 mm; rotation time, 0.5 seconds; 120 kVp/300-500 mA and 120 Kvp/200-400 mA, respectively. Intravenous contrast (iopromide, Ultravist 370; Bayer Healthcare, Berlin, Germany) was injected at a rate of 3 mL/sec in a total volume of 130 mL through the antecubital vein using a mechanical injector. Bolus tracking was not applied, and scanning started 90 seconds after beginning the contrast injection. No oral contrast agent was used. Scanning regularly covered the region from the dome of the liver to the lower vagina. Coronal reformatted images of 3.0 mm section thickness and 3.0 mm reconstruction intervals were generated using the source CT data set and commercially available console software (Volume Viewer; GE Medical Systems, Waukesha, WI, USA). Radiation dose to the patients was monitored for each examination using the volume CT dose index (CTDIvol) and dose length product (DLP), which were calculated by the CT scanner and were automatically saved to a dose report. The mean CTDIvol value was 10.7 ± 2.1 mGy, and the mean DLP value was 530.3 ± 109.1 mGy·cm.
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5

Liver Stiffness Measurement via MRE

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The MRE scan parameters were as follows: spin-echo echo-planar imaging (SE-EPI); TR/TE: 1000 ms/min full; matrix: 64 × 64; FOV: 42 cm × 42 cm; layer thickness: 10 mm; layer spacing: 5 mm; number of layers, 7; number of excitations, 1; bandwidth: ±250 kHz; driver frequency, 60 Hz; amplitude, 70 %; end-expiratory breath-hold scan; and a scanning duration of 17 s.
All acquired MRE images were automatically processed by the postprocessing software Volume Viewer (version 13.0, GE Healthcare) on the MR master computer, and wave images, elastograms, and magnitude images were generated using inversion algorithms. The elastogram forms crossed line regions (low-confidence data regions excluded by the postprocessing algorithm).
Two radiologists (the same two as before) selected the ROI (right branch level of the portal vein) in the right lobe region of the liver, including the two layers above this level and a total of three layers, using a weighted average for the measurements. The physicians drew the ROI to include as much of the liver parenchyma as possible, with a minimum area >3 cm2, while avoiding large vessels, bile ducts, and areas in the 1 cm surrounding the liver or in the cross-shadow areas (low-confidence data areas). Two radiologists recorded the postprocessing time for each patient.
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6

Measuring Subarachnoid Space Dimensions in Unruptured Aneurysms

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We have retrospectively selected the preoperative coronal three-dimensional computed tomography angiography (3D-CTA) images of 44 unruptured cases out of the 81 cases because the morphology of the SDCP was not demonstrated accurately in the cases of subarachnoid hemorrhage. We used the workstation of GE Healthcare (Volume Viewer) and selected a slice of coronal 3D-CTA images at the site corresponding to the limen insula on a slice of axial 3D-CTA images for each case. These images demonstrated the SDCP well and each width of subarachnoid space between the OG and the PP was measured at the three points as follows: Point A which was the lateral superior subarachnoid space of the SDCP, Point B which was the downward subarachnoid space of the SDCP, and Point C which was the medial inferior subarachnoid space of the SDCP (Fig. 1e).
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7

Nerve Orientation and DESS-T2 Assessment

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The magic angle behavior of nerve DESS-T2 with DLR was also evaluated. The nerve orientation with respect to B0 was determined by Rater 1 using Volume Viewer (GE Healthcare, Waukesha, WI, USA), which allowed vector lines to be drawn tangent to the nerve, from which the solid angle from B0 could be obtained via the cosine rule (Supplementary Figure 1). Linear regressions between this calculated angle and DESS-T2 were performed. This was conducted separately for abnormal and normal nerves.
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8

Comprehensive Evaluation of HCC Patients

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All data were extracted from the electronic medical records. Baseline demographics and clinical characteristics included age, gender, ECOG performance status, Child-Pugh classification, viral etiology, Hepatitis B Virus (HBV)-DNA, liver cirrhosis, ascites, number of HCC nodules, macroscopic classification, maximum tumor diameter, tumor burden, serum alpha-fetoprotein (AFP), PVTT classification and extrahepatic metastasis. Besides, treatment response, routine laboratory tests (including complete blood count, biochemical parameters) before and after treatment (4-6 weeks) were also collected.
The tumor burden, the percentage of total tumor in the liver, was independently determined by an abdominal radiologist with at least 3 years of experience in liver imaging on a workstation (Advantage Windows®,VolumeShare 4, GE Healthcare, Milwaukee, Wisc., USA) using dedicated software (Volume Viewer®, GE Healthcare, Milwaukee, Wisc., USA).
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