医学
结核(地质)
成像体模
核医学
放射科
迭代重建
图像质量
噪音(视频)
计算机科学
人工智能
图像(数学)
生物
古生物学
作者
Salim Si‐Mohamed,Joël Greffier,Jade Miailhes,Sara Boccalini,Pierre‐Antoine Rodesch,Aurélie Vuillod,Niels R. van der Werf,Djamel Dabli,Damien Racine,David C. Rotzinger,Fabio Becce,Yoad Yagil,Philippe Coulon,Alain Vlassenbroek,Loïc Boussel,Jean-Paul Bérégi,Philippe Douek
出处
期刊:European Radiology
[Springer Science+Business Media]
日期:2021-06-29
卷期号:32 (1): 524-532
被引量:35
标识
DOI:10.1007/s00330-021-08103-5
摘要
To evaluate the image quality (IQ) of a spectral photon-counting CT (SPCCT) using filtered back projection (FBP) and hybrid iterative reconstruction (IR) algorithms (iDose4), in comparison with a dual-layer CT (DLCT) system, and to choose the best image quality according to the IR level for SPCCT. Two phantoms were scanned using a standard lung protocol (120 kVp, 40 mAs) with SPCCT and DLCT systems. Raw data were reconstructed using FBP and 9 iDose4 levels (i1/i2/i3/i4/i5/i6/i7/i9/i11) for SPCCT and 7 for DLCT (i1/i2/i3/i4/i5/i6/i7). Noise power spectrum and task-based transfer function (TTF) were computed. Detectability index (d′) was computed for detection of 4 mm ground-glass nodule (GGN) and solid nodule. Two chest radiologists performed an IQ evaluation (noise/nodule sharpness/nodule conspicuity/overall IQ) in consensus, and chose the best image for SPCCT. Noise magnitude was −47% ± 2% lower on average with SPCCT than with DLCT for iDose4 range from i1 to i6. Average NPS spatial frequencies increased for SPCCT in comparison with DLCT. TTF also increased, except for the air insert with FBP, and i1/i2/i3. Higher detectability was found for SPCCT for both GGN and solid nodules. IQ for both types of nodule was rated consistently higher with SPCCT than with DLCT for the same iDose4 level. For SPCCT and both nodules, the scores for noise and conspicuity improved with increasing iDose4 level. iDose4 level 6 provided the best subjective IQ for both types of nodule. Higher IQ for GGN and solid nodules was demonstrated with SPCCT compared with DLCT with better detectability using iDose4.
科研通智能强力驱动
Strongly Powered by AbleSci AI