GE HealthCare | TrueFidelity for GSI Images

Body oncology

TrueFidelity for GSI has the potential to improve the image quality of GSI, especially of low-energy monochromatic images (40–70 keV), iodine images and VUE images which are critical for oncology imaging:

• The use of low-energy monochromatic images in oncologic CT can improve lesion detection by improving the contrast between a hypervascular lesion, a hypovascular lesion, and normally enhancing parenchyma.¹

• Iodine-specific maps have the potential to increase the depiction and characterization of hypo-attenuating malignancies by increasing the contrast between a hypo-attenuating lesion and normally enhancing parenchyma on the basis of differences in tissue iodine content. Iodine-specific maps depict and quantify iodine in each voxel; thus, a small amount of enhancement in a lesion may be detected.¹

1. Agrawal, M. D., Sahani, D. V. (2014). Oncologic Applications of Dual-Energy CT in the Abdomen. RadioGraphics, 34(3), 589–612.

Morbidly obese patients

TrueFidelity for GSI images have the potential to achieve optimal GSI image quality for obese and morbidly obese patients (BMI > 40, weight > 300 lbs), without the compromise of spectral FOV.

Body
non-oncology

TrueFidelity for GSI has the potential to improve the image quality of GSI, especially of low-energy monochromatic images (40–70 keV), iodine images and VUE images which are useful for lesion visualization and characterization.

Vascular

TrueFidelity for GSI images has the potential to improve the image quality of GSI, especially of low-energy monochromatic images (40–70 keV), iodine images which are useful for vascular imaging:

• Monochromatic images can help to detect thrombus in PE; iodine images can help to identify pulmonary embolism–associated perfusion defects, especially in patients with underlying perfusion abnormalities.¹

• Monochromatic images generated at 50–55 keV are reported to be optimal for evaluating blood vessels and depicting slow flow (eg. subtle vascular endoleaks).²

1 Patino, M., Sahani, D. V. (2016). Material Separation Using Dual-Energy CT: Current and Emerging Applications. RadioGraphics, 36(4), 1087–1105.
2 Agrawal, M. D., Sahani, D. V. (2014). Oncologic Applications of Dual-Energy CT in the Abdomen. RadioGraphics, 34(3), 589–612

GSI MAR

TrueFidelity for GSI images can work with GSI MAR seamlessly to reduce the metal artifacts and reveal hidden anatomical and pathological structures.