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. 2024 Feb 26;11(1):21.
doi: 10.1186/s40658-024-00622-6.

Effect of kilovoltage and quality reference mAs on CT-based attenuation correction in 177Lu SPECT/CT imaging: a phantom study

Affiliations

Effect of kilovoltage and quality reference mAs on CT-based attenuation correction in 177Lu SPECT/CT imaging: a phantom study

Maikol Salas-Ramirez et al. EJNMMI Phys. .

Abstract

Introduction: CT-based attenuation correction (CT-AC) plays a major role in accurate activity quantification by SPECT/CT imaging. However, the effect of kilovoltage peak (kVp) and quality-reference mAs (QRM) on the attenuation coefficient image (μ-map) and volume CT dose index (CTDIvol) have not yet been systematically evaluated. Therefore, the aim of this study was to fill this gap and investigate the influence of kVp and QRM on CT-AC in 177Lu SPECT/CT imaging.

Methods: Seventy low-dose CT acquisitions of an Electron Density Phantom (seventeen inserts of nine tissue-equivalent materials) were acquired using various kVp and QRM combinations on a Siemens Symbia Intevo Bold SPECT/CT system. Using manufacturer reconstruction software, 177Lu μ-maps were generated for each CT image, and three low-dose CT related aspects were examined. First, the μ-map-based attenuation values (μmeasured) were compared with theoretical values (μtheoretical). Second, changes in 177Lu activity expected due to changes in the μ-map were calculated using a modified Chang method. Third, the noise in the μ-map was assessed by measuring the coefficient of variation in a volume of interest in the homogeneous section of the Electron Density Phantom. Lastly, two phantoms were designed to simulate attenuation in four tissue-equivalent materials for two different source geometries (1-mL and 10-mL syringes). 177Lu SPECT/CT imaging was performed using three different reconstruction algorithms (xSPECT Quant, Flash3D, STIR), and the SPECT-based activities were compared against the nominal activities in the sources.

Results: The largest relative errors between μmeasured and μtheoretical were observed in the lung inhale insert (range: 18%-36%), while it remained below 6% for all other inserts. The resulting changes in 177Lu activity quantification were -3.5% in the lung inhale insert and less than -2.3% in all other inserts. Coefficient of variation and CTDIvol ranged from 0.3% and 3.6 mGy (130 kVp, 35 mAs) to 0.4% and 0.9 mGy (80 kVp, 20 mAs), respectively. The SPECT-based activity quantification using xSPECT Quant reconstructions outperformed all other reconstruction algorithms.

Conclusion: This study shows that kVp and QRM values in low-dose CT imaging have a minimum effect on quantitative 177Lu SPECT/CT imaging, while the selection of low values of kVp and QRM reduce the CTDIvol.

Keywords: 177Lu SPECT/CT; Attenuation correction; CTDIvol; Quantitative SPECT/CT.

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Conflict of interest statement

M. Lassmann has received institutional grants by IPSEN Pharma, Nordic Nanovector, Novartis, and Pentixapharm. No other potential conflicts of interest relevant to this article exist.

Figures

Fig. 1
Fig. 1
Positioning of the cubic volume of interest of 3 × 3 × 8 voxels in the bone insert with 1250 mg/cm3 hydroxyapatite in 130 kVp and 35 mAs image. A whole phantom. Blue dotted line indicates position of inner inserts, orange dotted line indicates position of outer inserts. B Zoom over the bone insert and placing of the cubic volume of interest
Fig. 2
Fig. 2
Digital phantom from the CIRS electron density phantom. A Segments from the high resolution CT image. B µ-map based on theoretical values from NIST database [17]. C Theoretical attenuation correction factor (ACFtheoretical) image. I0 is the image with attenuation correction and I is the image without attenuation correction
Fig. 3
Fig. 3
Segmented VOIs for the noise analysis. Illustration performed on imageJ [28]
Fig. 4
Fig. 4
Quantitative SPECT: A Frontal view of 10-mL syringe insert. B Lateral view of 10-mL syringe insert. C Segmentation boundaries using 10-mL syringe insert with sources inside of NEMA Phantom
Fig. 5
Fig. 5
Mean measured attenuation coefficients (µmeasured). Error bars consider a coverage factor (k) of 2
Fig. 6
Fig. 6
Relative error between the mean measured attenuation coefficients (µmeasured) and the theoretical attenuation coefficients (µtheoretical). Error bars consider a coverage factor (k) of 2
Fig. 7
Fig. 7
Relative error between the attenuation correction factor (ACFmeasured) and the theoretical attenuation correction factor (ACFtheoretical) for: A Insert located in the inner section of the phantom. B Inserts located in the outer section of the phantom. Error bars consider a coverage factor (k) of 2
Fig. 8
Fig. 8
Noise analysis. Measured noise coefficient of variation together with the mean CTDIvol for each kVp and QRM combination
Fig. 9
Fig. 9
Relative error matrix between the measured and nominal activity for the four tested reconstruction algorithm and attenuation material of: A 1-mL syringe sources and B 10-mL syringe sources. Materials: PS Polystyrene, PTFE Polytetrafluoroethylene, PA Polyamide, and PP Polypropylene

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