Automatic recognition and analysis of metal streak artifacts in head and neck computed tomography for radiomics modeling
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Issam El Naqa | Michelle Mierzwa | Martin Vallières | Lise Wei | Benjamin Rosen | Thong Chotchutipan | Avraham Eisbruch | I. El Naqa | A. Eisbruch | M. Vallières | Lise Wei | B. Rosen | M. Mierzwa | T. Chotchutipan | I. E. El Naqa
[1] Habib Zaidi,et al. Metal artifact reduction strategies for improved attenuation correction in hybrid PET/CT imaging. , 2012, Medical physics.
[2] Issam El-Naqa,et al. Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer , 2017, Scientific Reports.
[3] P. Lambin,et al. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. , 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[4] Heng Li,et al. Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis , 2018, Comput. Medical Imaging Graph..
[5] G. Elisabeta Marai,et al. Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients , 2018, Scientific Reports.
[6] Jacob Geleijns,et al. Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique. , 2012, Medical physics.
[7] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[8] P. Lambin,et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach , 2014, Nature Communications.
[9] Ge Wang,et al. Metal Artifact Reduction in CT: Where Are We After Four Decades? , 2016, IEEE Access.
[10] D. Fleischmann,et al. Evaluation of two iterative techniques for reducing metal artifacts in computed tomography. , 2011, Radiology.
[11] Dana H. Ballard,et al. Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..
[12] Denis Laurendeau,et al. 39 oral: An Algorithm for Efficient Metal Artifact Reductions in Permanent Seed Implants , 2009 .
[13] Michael E Griswold,et al. Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with induction chemotherapy. , 2013, Radiology.
[14] Mehran Yazdi,et al. An opposite view data replacement approach for reducing artifacts due to metallic dental objects. , 2011, Medical physics.
[15] Matthias Guckenberger,et al. Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma. , 2017, International journal of radiation oncology, biology, physics.
[16] Jonathan Scalera,et al. Texture analysis as a radiomic marker for differentiating renal tumors , 2017, Abdominal Radiology.
[17] Irwin Sobel,et al. An Isotropic 3×3 image gradient operator , 1990 .
[18] Osamu Abe,et al. Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists. , 2018, Radiographics : a review publication of the Radiological Society of North America, Inc.
[19] Shao Hui Huang,et al. External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma , 2015, Acta oncologica.
[20] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .