Relevant bibliographies by topics / Interventional hyperspectral imaging

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Interventional hyperspectral imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Interventional hyperspectral imaging"

1

Nouri, Dorra, Yves Lucas, and Sylvie Treuillet. "Hyperspectral interventional imaging for enhanced tissue visualization and discrimination combining band selection methods." International Journal of Computer Assisted Radiology and Surgery 11, no. 12 (2016): 2185–97. http://dx.doi.org/10.1007/s11548-016-1449-5.

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Palombi, L., D. Lognoli, V. Raimondi, et al. "Hyperspectral fluorescence lidar imaging at the Colosseum, Rome: Elucidating past conservation interventions." Optics Express 16, no. 10 (2008): 6794. http://dx.doi.org/10.1364/oe.16.006794.

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Dissertations / Theses on the topic "Interventional hyperspectral imaging"

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Nouri, Kridiss Dorra. "Acquisition et traitement d’images hyperspectrales pour l’aide à la visualisation peropératoire de tissus vitaux." Thesis, Orléans, 2014. http://www.theses.fr/2014ORLE2026.

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L’imagerie hyperspectrale issue de la télédétection, va devenir une nouvelle modalité d’imagerie médicale pouvant assister le diagnostic de plusieurs pathologies via la détection des marges tumorales des cancers ou la mesure de l’oxygénation des tissus. L’originalité de ce travail de thèse est de fournir au chirurgien en cours d’intervention une vision améliorée du champ opératoire grâce à une image RGB affichée sur écran, résultat de traitements des cubes hyperspectraux dans le visible, le proche infrarouge et le moyen infrarouge (400-1700 nm). Notre application permet la détection des tissus
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Book chapters on the topic "Interventional hyperspectral imaging"

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Nouri, Dorra, Yves Lucas, and Sylvie Treuillet. "Efficient Tissue Discrimination during Surgical Interventions Using Hyperspectral Imaging." In Information Processing in Computer-Assisted Interventions. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07521-1_28.

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Conference papers on the topic "Interventional hyperspectral imaging"

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Geweid, Gamal G. N., Fartash Vasefi, and Kouhyar Tavakolian. "A Novel Nonparametric Technique for Segmenting Multimode Hyperspectral Images Obtained From Non-Melanoma Skin Cancer Lesions." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9045.

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Abstract Keratinocyte Carcinoma, more traditionally known as Non-melanoma skin cancer (NMSC), is the most common cancer in humans. Incidence continues to increase despite increased public awareness of the harmful effects of solar radiation. In this paper, a non-parametric technique based on image registration will be applied to the multimode hyperspectral imaging system to segment Basal Cell Carcinoma (BCC) and Squamous cell carcinoma lesions (SCC). The aim is to enhance Mohs surgery by determining the actual borderlines of the desired area in the patient’s images, leading to increased efficie
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Lai, Marco, Simon Skyrman, Caifeng Shan, et al. "Automated classification of brain tissue: comparison between hyperspectral imaging and diffuse reflectance spectroscopy." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2020. http://dx.doi.org/10.1117/12.2548754.

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Huang, James, Martin Halicek, Maysam Shahedi, and Baowei Fei. "Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor resection." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2020. http://dx.doi.org/10.1117/12.2549041.

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Manni, Francesca, Fons van der Sommen, Sveta Zinger, et al. "Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2512238.

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Manni, Francesca, Chuchen Cai, Fons van der Sommen, et al. "Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Cristian A. Linte and Jeffrey H. Siewerdsen. SPIE, 2021. http://dx.doi.org/10.1117/12.2580158.

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Halicek, Martin, James V. Little, Xu Wang, et al. "Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Robert J. Webster and Baowei Fei. SPIE, 2018. http://dx.doi.org/10.1117/12.2293167.

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Halicek, Martin, Himar Fabelo, Samuel Ortega, et al. "Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2512985.

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Ma, Ling, Maysam Shahedi, Ted Shi, et al. "Pixel-level tumor margin assessment of surgical specimen in hyperspectral imaging and deep learning classification." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Cristian A. Linte and Jeffrey H. Siewerdsen. SPIE, 2021. http://dx.doi.org/10.1117/12.2581046.

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Ding, Houzhu, Antonio Dole, Filippos Tourlomousis, and Robert C. Chang. "Design of a Skin Grafting Methodology for Burn Wound Using an Additive Biomanufacturing System Guided by Hyperspectral Imaging." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8588.

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Skin thermal burn wounds are classified by depth and require different levels of medical intervention. In this paper, the authors propose a novel treatment method where hyperspectral imaging (HSI) is applied to measure skin burn wound information that guide an additive biomanufacturing process to print a custom engineered skin graft in three dimensions (3D). Two dimensional principle component analysis (2DPCA) for noise reduction is applied to images captured by HSI in the visible wavelength range from 375 nm to 750 nm. A multivariate regression analysis is used to calculate hemodynamic biomar
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