The linear regression (R2) and Root Mean Square Error (RMSE) values for Hydroxyapatite (HA) and iodine across each dataset.

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Bibliographic Details
Main Author:	Briya Tariq (19666901) (author)
Other Authors:	Osama Sikander (19666904) (author), Nadine Francis (19666907) (author), Manar Alkhatib (19666910) (author), Farhat Naseer (19666913) (author), Naoufel Werghi (16929741) (author), Esat Memisoglu (14342110) (author), Nabil Maalej (19666916) (author), Aamir Raja (19666919) (author)
Published:	2024
Subjects:	Biochemistry Cell Biology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified fat substitute ). cortical bone screw lower rmse across snr ), linearity increased energy bins five energy bins div >< p 2 </ sup reducing metal artefacts counting ct technology material identification accuracy mars spcct scanner without metal inserts metal artefacts rmse ), ct technology material identification mars photon containing inserts metal objects metal insert spcct ), varying concentrations three sets subsequently reconstructed study aims replicating real remained consistent reference dataset reference data persistent problem performed using objectively assessed noise ratio mineral present material phantom material concentrations demonstration purposes data acquisition ct images breaking development biological sample better signal attenuation profiles also scanned 80 μa 25 %) 118 kvp 118 kev
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The linear regression (R<sup>2</sup>) and Root Mean Square Error (RMSE) values for Hydroxyapatite (HA) and iodine across each dataset.