Impact of quantization algorithm and number of gray level intensities on variability and repeatability of low field strength magnetic resonance image-based radiomics texture features
出版年份 2020 全文链接
标题
Impact of quantization algorithm and number of gray level intensities on variability and repeatability of low field strength magnetic resonance image-based radiomics texture features
作者
关键词
Radiomics texture analysis, Quantization, Low field strength magnetic resonance image, Preprocessing
出版物
Physica Medica-European Journal of Medical Physics
Volume 80, Issue -, Pages 209-220
出版商
Elsevier BV
发表日期
2020-11-13
DOI
10.1016/j.ejmp.2020.10.029
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Impact of contouring variability on oncological PET radiomics features in the lung
- (2020) F. Yang et al. Scientific Reports
- Predictive value of 0.35 T magnetic resonance imaging radiomic features in stereotactic ablative body radiotherapy of pancreatic cancer: A pilot study
- (2020) Garrett Simpson et al. MEDICAL PHYSICS
- Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer
- (2019) Hamid Abdollahi et al. Radiologia Medica
- Repeatability of texture features derived from magnetic resonance and computed tomography imaging and use in predictive models for non-small cell lung cancer outcome
- (2019) Rebecca Nichole Mahon et al. PHYSICS IN MEDICINE AND BIOLOGY
- Repeatability and reproducibility of MRI-based radiomic features in cervical cancer
- (2019) Sandra Fiset et al. RADIOTHERAPY AND ONCOLOGY
- Repeatability of Multiparametric Prostate MRI Radiomics Features
- (2019) Michael Schwier et al. Scientific Reports
- Evaluation of radiomic texture feature error due to MRI acquisition and reconstruction: A simulation study utilizing ground truth
- (2018) Fei Yang et al. Physica Medica-European Journal of Medical Physics
- Quantitative Radiomics: Impact of Pulse Sequence Parameter Selection on MRI-Based Textural Features of the Brain
- (2018) John Ford et al. Contrast Media & Molecular Imaging
- Density estimation of grey-level co-occurrence matrices for image texture analysis
- (2018) Anders Garpebring et al. PHYSICS IN MEDICINE AND BIOLOGY
- Beyond imaging: The promise of radiomics
- (2017) Michele Avanzo et al. Physica Medica-European Journal of Medical Physics
- CT image biomarkers to improve patient-specific prediction of radiation-induced xerostomia and sticky saliva
- (2017) Lisanne V. van Dijk et al. RADIOTHERAPY AND ONCOLOGY
- 4DCT imaging to assess radiomics feature stability: An investigation for thoracic cancers
- (2017) Ruben T.H.M. Larue et al. RADIOTHERAPY AND ONCOLOGY
- Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters
- (2017) Patrik Brynolfsson et al. Scientific Reports
- Predictive Value of Standardized Intratumoral Metabolic Heterogeneity in Locally Advanced Cervical Cancer Treated With Chemoradiation
- (2016) Fei Yang et al. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER
- Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma
- (2016) Jia Liu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Applications and limitations of radiomics
- (2016) Stephen S F Yip et al. PHYSICS IN MEDICINE AND BIOLOGY
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- Radiomic phenotype features predict pathological response in non-small cell lung cancer
- (2016) Thibaud P. Coroller et al. RADIOTHERAPY AND ONCOLOGY
- Combining radiomic features with a miRNA classifier may improve prediction of malignant pathology for pancreatic intraductal papillary mucinous neoplasms
- (2016) Jennifer B. Permuth et al. Oncotarget
- Quantitative imaging to evaluate malignant potential of IPMNs
- (2016) Alexander N. Hanania et al. Oncotarget
- Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer
- (2016) Xenia Fave et al. Translational Cancer Research
- Lung Texture in Serial Thoracic Computed Tomography Scans: Correlation of Radiomics-based Features With Radiation Therapy Dose and Radiation Pneumonitis Development
- (2015) Alexandra Cunliffe et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET
- (2015) J. Yan et al. JOURNAL OF NUCLEAR MEDICINE
- Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?
- (2015) Xenia Fave et al. MEDICAL PHYSICS
- Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma
- (2015) Dalu Yang et al. MEDICAL PHYSICS
- A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
- (2015) M Vallières et al. PHYSICS IN MEDICINE AND BIOLOGY
- Test–Retest Reproducibility Analysis of Lung CT Image Features
- (2014) Yoganand Balagurunathan et al. JOURNAL OF DIGITAL IMAGING
- The ViewRay System: Magnetic Resonance–Guided and Controlled Radiotherapy
- (2014) Sasa Mutic et al. SEMINARS IN RADIATION ONCOLOGY
- Reproducibility and Prognosis of Quantitative Features Extracted from CT Images
- (2014) Yoganand Balagurunathan et al. Translational Oncology
- Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer
- (2013) Fei Yang et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- The causes and consequences of genetic heterogeneity in cancer evolution
- (2013) Rebecca A. Burrell et al. NATURE
- Texture analysis for the assessment of structural changes in parotid glands induced by radiotherapy
- (2013) Elisa Scalco et al. RADIOTHERAPY AND ONCOLOGY
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer
- (2011) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- The influence of field strength and different clinical breast MRI protocols on the outcome of texture analysis using foam phantoms
- (2011) Shelley A. Waugh et al. MEDICAL PHYSICS
- Heterogeneity in primary tumors and corresponding metastases: could it provide us with any hints to personalize cancer therapy?
- (2011) Ketao Jin et al. Personalized Medicine
- Effect of slice thickness on brain magnetic resonance image texture analysis
- (2010) Sami J Savio et al. Biomedical Engineering Online
- Robust texture features for response monitoring of glioblastoma multiforme on T1-weighted and T2-FLAIR MR images: A preliminary investigation in terms of identification and segmentation
- (2010) Dawit Assefa et al. MEDICAL PHYSICS
- Radiogenomics: Creating a link between molecular diagnostics and diagnostic imaging
- (2009) Aaron M. Rutman et al. EUROPEAN JOURNAL OF RADIOLOGY
- Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: An application-oriented study
- (2009) Marius E. Mayerhoefer et al. MEDICAL PHYSICS
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