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1.
Image reconstruction using small-voxel size improves small lesion detection for positron emission tomography
Sebastijan Rep, Petra Tomše, Luka Jensterle, Leon Jarabek, Katja Zaletel, Luka Ležaič, 2022, izvirni znanstveni članek

Povzetek: Background. 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) vs. standard-voxel (4 mm in-line pixel size) reconstruction on lesion detection and image quality in a range of activity ratios. Materials and methods. The National Electrical Manufacturers Association (NEMA) body phantom and the Micro Hollow-Sphere phantom spheres were filled with a solution of [18F]fluorodeoxyglucose ([18F]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. Results. 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. Conclusions. Small-voxel reconstruction consistently improves precise small lesion delineation, lesion contrast and image quality.
Ključne besede: PET/CT, voxel size, contrast recovery coefficient, contrast-to-noise ratio
Objavljeno v DiRROS: 24.07.2024; Ogledov: 131; Prenosov: 75
.pdf Celotno besedilo (883,98 KB)
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2.
The impact of reconstruction algorithms and time of flight information on PET/CT image quality
Alen Suljič, Petra Tomše, Luka Jensterle, Damijan Škrk, 2015, izvirni znanstveni članek

Ključne besede: računalniška tomografija, radiologija, kvaliteta slik
Objavljeno v DiRROS: 23.04.2024; Ogledov: 302; Prenosov: 139
.pdf Celotno besedilo (626,94 KB)
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