Image reconstruction using small-voxel size improves small lesion detection for positron emission tomography

PET/CT imaging is widely used in oncology and provides both metabolic and anatomic information. Because of the relatively poor spatial resolution of PET, the detection of small lesions is limited. The low spatial resolution introduces the partial-volume effect (PVE) which negatively affects images b...

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Veröffentlicht in:Radiology and oncology 2022-04, Vol.56 (2), p.142-149
Hauptverfasser: Rep, Sebastijan, Tomse, Petra, Jensterle, Luka, Jarabek, Leon, Zaletel, Katja, Lezaic, Luka
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Sprache:eng
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Zusammenfassung:PET/CT imaging is widely used in oncology and provides both metabolic and anatomic information. Because of the relatively poor spatial resolution of PET, the detection of small lesions is limited. The low spatial resolution introduces the partial-volume effect (PVE) which negatively affects images both qualitatively and quantitatively. The aim of the study was to investigate the effect of small-voxel (2 mm in-line pixel size) standard-voxel (4 mm in-line pixel size) reconstruction on lesion detection and image quality in a range of activity ratios. The National Electrical Manufacturers Association (NEMA) body phantom and the Micro Hollow-Sphere phantom spheres were filled with a solution of [ F]fluorodeoxyglucose ([ F]FDG) in sphere-to-background ratios of 2:1, 3:1, 4:1 and 8:1. In all images reconstructed with 2 mm and 4 mm in-line pixel size the visual lesion delineation, contrast recovery coefficient (CRC) and contrast-to-noise ratio (CNR) were evaluated. For smaller (≤ 13 mm) phantom spheres, significantly higher CRC and CNR using small-voxel reconstructions were found, also improving visual lesion delineation. CRC did not differ significantly for larger (≥ 17 mm) spheres using 2 mm and 4 mm in-line pixel size, but CNR was significantly lower; however, lower CNR did not affect visual lesion delineation. Small-voxel reconstruction consistently improves precise small lesion delineation, lesion contrast and image quality.
ISSN:1581-3207
1318-2099
1581-3207
0485-893X
DOI:10.2478/raon-2022-0015