The goal of the study is to evaluate the Image Quality (IQ), and diagnostic confidence of Spectral Precise Image for CT 7700 Scanner as compared with iDose4 as a standard-of-care reference.

Spectral Precise Image is a reconstruction technique where the system uses a trained deep learning neural network to produce an image that reduces noise while improving low contrast detectability and maintaining the appearance of traditional filtered back projection (FBP) images.

Spectral Precise Image in Spectral CT 7700 system supports both conventional and spectral reconstructions.

The study will use raw data of subjects that are over the age of 22 years and scanned by Philips Spectral CT.

Study raw data, following anonymization, will be transferred to Philips for reconstructions, both conventional and spectral images will be reconstructed with iDose4 and with Spectral Precise Image at 100% dose.

Inclusion Criteria:

• • Subjects scanned by Spectral CT (K203020) according to the department standard of care clinical protocols.

  • Subjects age > twenty-two (22) years

Exclusion Criteria:

• • Scans that the site radiologists have deemed as non-diagnostic image quality in the standard practice (e.g. patient movement)

  • Scans that are not completed due to technical difficulties

Data from subjects that met ALL of the inclusion criteria and NONE of the exclusion criteria will be included in this study