Analysis of factors affecting MSCT axial resolution and image noise(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2020年第5期
- Page:
- 604-607
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Analysis of factors affecting MSCT axial resolution and image noise
- Author(s):
- DONG Xiaojun1; NIE Ting1; CHEN Zonggui1; YI Wenzhong2
- 1.Hunan University of Medicine, Huaihua 418000, China 2. Imaging Center, the First People′s Hospital of Huaihua City, Huaihua
418000, China
- Keywords:
- multi-slice spiral CT axial resolution section sensitivity profile image noise influence factor
- PACS:
- R318；R811.1
- DOI:
- 10.3969/j.issn.1005-202X.2020.05.014
- Abstract:
- Objective To explore the factors affecting multi-slice spiral CT (MSCT) axial resolution or section sensitivity
profile (SSP) and image noise. Methods With the commonly-used abdominal scan mode, the templates of different diameters
and different parameters, such as reconstruction layer thickness, pitch, voltage and reconstruction algorithm, were adopted for
MSCT scanning, thereby statistically analyzing the effects of different parameters on SSP of cross-sectional images and
image noise. Results When pitch and collimator width remained unchanged, the full-width at half-maximum (FWHM) of
SSP obtained by different layer thicknesses and reconstruction algorithms remain basically the same (P>0.05). When
reconstruction algorithm and collimator width remain unchanged, the FWHM of SSP obtained by different pitches and layer
thicknesses also remain basically the same (P>0.05). With different collimator widths, the same pitch and the same layer
thickness, the FWHM of SSP remained basically the same (P>0.05). As the layer thickness and mAs increased, the image
noise decreased (P<0.05). With the increase of kV, image noise was decreased. There were significant differences in image
noise when different reconstruction algorithms were adopted (P<0.05). Conclusion Convolution reconstruction algorithm,
pitch and collimator width have little effect on SSP, and pitch has trivial effect on image noise, while layer thickness,
reconstruction algorithm, mAs and kV have significant effects on image noise.With the increases of layer thickness, mAs and
kV, the image noise is decreased. The higher the resolution of the reconstruction algorithm is, the larger the image noise is.
Last Update: 2020-06-03