Journal Article10.1007/s00330-022-09119-1
Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction algorithms: a phantom study
Jingyu Zhong,Yihan Xia,Yong Chen,Jianying Li,Wei Lu,Xiaomeng Shi,Jianxing Feng,Fuhua Yan,Weiwu Yao,Huan Zhang +9 more
21
TL;DR: DLIR improves DECT image quality in terms of signal- to-noise ratio and contrast-to- noise ratio compared with ASIR-V and showed the highest noise reduction rate and lowest peak frequency shift.
read more
About: This article is published in European Radiology. The article was published on 05 Oct 2022. The article focuses on the topics: Medicine & Scanner.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Reproducibility of radiomics quality score: an intra- and inter-rater reliability study.
Tugba Akinci D'Antonoli,Armando Ugo Cavallo,Federica Vernuccio,Arnaldo Stanzione,Michail E. Klontzas,Roberto Cannella,Lorenzo Ugga,Agah Baran,Salvatore Claudio Fanni,Ekaterina Petrash,I Ambrosini,L. Cappellini,Peter van Ooijen,Elmar Kotter,Daniel Pinto Dos Santos,Renato Cuocolo +15 more
TL;DR: Investigation of the intra- and inter-rater reliability of the total radiomics quality score (RQS) and the reproducibility of individual RQS items' score in a large multireader study concluded that reproducible scoring systems are needed to improve quality of radiomics research and consecutively close the translational gap between research and clinical implementation.
20
Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.
Shenglin Li,Long Yuan,Ting Lu,Xinmei Yang,Wei Ren,Lu Wang,Jun Zhao,Juan Deng,Xianwang Liu,Caiqiang Xue,Qiu Sun,Wenjuan Zhang,Junlin Zhou +12 more
TL;DR: Reduced dose DLIR-M of 40 keV-VMI can be used for routine follow-up care of colorectal cancer patients, to optimize evaluations and ensure CT image quality.
8
Investigating the role of imaging factors in the variability of CT-based texture analysis metrics.
Bino Varghese,Steven Cen,Kristin Jensen,Joshua Levy,Hilde Kjernlie Andersen,Anselm Schulz,Xiaomeng Lei,Vinay Anant Duddalwar,David John Goodenough +8 more
TL;DR: Variation in image noise due to dose reduction algorithms, tube current, and slice thickness show a consistent trend across phantom and patient scans, and across all scans, imaging, and reconstruction settings, CV, IQR and SD were observed to increase with reduction in dose andslice thickness.
5
Synergizing photon-counting CT with deep learning: potential enhancements in medical imaging.
TL;DR: The use of photon-counting CT provides superior image quality, reduced radiation dose, and material decomposition capabilities, while deep learning algorithms excel in automating image analysis and improving diagnostic accuracy.
3
Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT
Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong,Jingyu Zhong +12 more
TL;DR: Deep learning image reconstruction generates thinner slice iodine maps with improved image quality and diagnostic acceptability in abdominal DECT.
3
References
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
Terry K. Koo,Mae Y. Li +1 more
TL;DR: A practical guideline for clinical researchers to choose the correct form of ICC is provided and the best practice of reporting ICC parameters in scientific publications is suggested.
20.8K
Measuring agreement in method comparison studies
J M Bland,Douglas G. Altman test +1 more
TL;DR: The 95% limits of agreement, estimated by mean difference 1.96 standard deviation of the differences, provide an interval within which 95% of differences between measurements by the two methods are expected to lie.
A concordance correlation coefficient to evaluate reproducibility.
TL;DR: A new reproducibility index is developed and studied that is simple to use and possesses desirable properties and the statistical properties of this estimate can be satisfactorily evaluated using an inverse hyperbolic tangent transformation.
8.2K
Radiomics: Images Are More than Pictures, They Are Data.
TL;DR: This report describes the process of radiomics, its challenges, and its potential power to facilitate better clinical decision making, particularly in the care of patients with cancer.
6.9K
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Andriy Fedorov,Chintan Parmar,Ahmed Hosny,Nicole Aucoin,Vivek Narayan,Regina G. H. Beets-Tan,Regina G. H. Beets-Tan,Jean-Christophe Fillion-Robin,Steve Pieper,Hugo J.W.L. Aerts +12 more
TL;DR: PyRadiomics, a flexible open-source platform capable of extracting a large panel of engineered features from medical images, is developed and its application in characterizing lung lesions is demonstrated.