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Ultra-high resolution spectral photon-counting CT outperforms dual layer CT for lung imaging: Results of a phantom study - 18/02/25

Doi : 10.1016/j.diii.2024.09.011 
Hugo Lacombe a, b, 1, Joey Labour a, 1, Fabien de Oliveira c, Antoine Robert a, Angèle Houmeau a, Marjorie Villien b, Sara Boccalini a, d, Jean-Paul Beregi c, Philippe C. Douek a, d, Joël Greffier c, 2, Salim A. Si-Mohamed a, d, 2,
a Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, INSERM, CREATIS UMR 5220, U1206, 69100 Villeurbanne, France 
b CT Clinical Science, Philips, 92150, Suresnes, France 
c IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France 
d Department of Radiology, Hôpital Louis Pradel, Hospices Civils de Lyon, 69677, Bron, France 

Corresponding author.

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Highlights

Ultra high-resolution spectral photon-counting CT reduces image noise and improves detectability of lung lesions in an anthropomorphic phantom compared to dual-layer CT.
Image quality obtained with ultra-high resolution spectral photon-counting CT suggests greater potential for ultra-high-resolution dose optimization compared to dual-layer CT.
Lung images obtained with ultra-high resolution spectral photon-counting CT are better rated for clinical use by radiologists at all dose levels.

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Abstract

Purpose

The purpose of this study was to compare lung image quality obtained with ultra-high resolution (UHR) spectral photon-counting CT (SPCCT) with that of dual-layer CT (DLCT), at standard and low dose levels using an image quality phantom and an anthropomorphic lung phantom.

Methods

An image quality phantom was scanned using a clinical SPCCT prototype and an 8 cm collimation DLCT from the same manufacturer at 10 mGy. Additional acquisitions at 6 mGy were performed with SPCCT only. Images were reconstructed with dedicated high-frequency reconstruction kernels, slice thickness between 0.58 and 0.67 mm, and matrix between 512 2 and 1024 2 mm, using a hybrid iterative algorithm at level 6. Noise power spectrum (NPS), task-based transfer function (TTF) for iodine and air inserts, and detectability index ( d’ ) were assessed for ground-glass and solid nodules of 2 mm to simulate highly detailed lung lesions. Subjective analysis of an anthropomorphic lung phantom was performed by two radiologists using a five-point quality score.

Results

At 10 mGy, noise magnitude was reduced by 29.1 % with SPCCT images compared to DLCT images for all parameters (27.1 ± 11.0 [standard deviation (SD)] HU vs. 38.2 ± 1.0 [SD] HU, respectively). At 6 mGy with SPCCT images, noise magnitude was reduced by 8.9 % compared to DLCT images at 10 mGy (34.8 ± 14.1 [SD] HU vs. 38.2 ± 1.0 [SD] HU, respectively). At 10 mGy and 6 mGy, average NPS spatial frequency (f av ) was greater for SPCCT images (0.75 ± 0.17 [SD] mm -1 ) compared to DLCT images at 10 mGy (0.55 ± 0.04 [SD] mm -1 ) while remaining constant from 10 to 6 mGy. At 10 mGy, TTF at 50 % (f 50 ) was greater for SPCCT images (0.92 ± 0.08 [SD] mm -1 ) compared to DLCT images (0.67 ± 0.06 [SD] mm -1 ) for both inserts. At 6 mGy, f 50 decreased by 1.1 % for SPCCT images, while remaining greater compared to DLCT images at 10 mGy (0.91 ± 0.06 [SD] mm -1 vs. 0.67 ± 0.06 [SD] mm -1 , respectively). At both dose levels, d’ were greater for SPCCT images compared to DLCT for all clinical tasks. Subjective analysis performed by two radiologists revealed a greater median image quality for SPCCT (5; Q1, 4; Q3, 5) compared to DLCT images (3; Q1, 3; Q3, 3).

Conclusion

UHR SPCCT outperforms DLCT in terms of image quality for lung imaging. In addition, UHR SPCCT contributes to a 40 % reduction in radiation dose compared to DLCT.

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Keywords : Iterative reconstruction, Lung, Multidetector computed tomography, Spectral photon- counting CT, Task-based image quality assessment

Abbreviations : CT, CTDIvol, DECT, DLCT, EID, HU, iDose 4 , NPS, ROI, SD, SPCCT, TTF, UHR


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© 2024  Pubblicato da Elsevier Masson SAS.
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Vol 106 - N° 2

P. 60-67 - febbraio 2025 Ritorno al numero
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