Prof. Daniel Rueckert
at Imperial College London
SPIE Involvement:
Author | Instructor
Publications (46)

SPIE Journal Paper | 24 September 2024 Open Access
Ivan Ezhov, Kevin Scibilia, Luca Giannoni, Florian Kofler, Ivan Iliash, Felix Hsieh, Suprosanna Shit, Charly Caredda, Frédéric Lange, Bruno Montcel, Ilias Tachtsidis, Daniel Rueckert
JBO, Vol. 29, Issue 09, 093509, (September 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.9.093509
KEYWORDS: Scattering, Data modeling, Machine learning, Education and training, Body composition, RGB color model, Near infrared spectroscopy, Brain tissue, Tissues, Absorption

SPIE Journal Paper | 10 September 2024 Open Access
Luca Giannoni, Marta Marradi, Kevin Scibilia, Ivan Ezhov, Camilla Bonaudo, Angelos Artemiou, Anam Toaha, Frédéric Lange, Charly Caredda, Bruno Montcel, Alessandro Della Puppa, Ilias Tachtsidis, Daniel Rückert, Francesco Saverio Pavone
JBO, Vol. 29, Issue 09, 093508, (September 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.9.093508
KEYWORDS: Biopsy, Biological samples, Tissues, Near infrared, Visible radiation, Hyperspectral imaging, 3D modeling, Reflectivity, Statistical analysis, Tumors

Proceedings Article | 9 August 2023 Paper
Proceedings Volume 12628, 126281C (2023) https://doi.org/10.1117/12.2670764
KEYWORDS: Neurosurgery, Brain, Surgery, Neuroimaging, Image restoration, Image analysis, Artificial intelligence, Positron emission tomography, Physiology, Optical phantoms

Proceedings Article | 9 August 2023 Paper
Ivan Ezhov, Luca Giannoni, Suprosanna Shit, Frédéric Lange, Florian Kofler, Bjoern Menze, Ilias Tachtsidis, Daniel Rueckert
Proceedings Volume 12628, 1262826 (2023) https://doi.org/10.1117/12.2670775
KEYWORDS: Tissues, Tumors, Chromophores, Blood vessels, Principal component analysis, Absorption, Absorption spectrum, Reflectivity, Brain tissue, Statistical analysis

Proceedings Article | 2 March 2018 Presentation + Paper
Christopher Bowles, Roger Gunn, Alexander Hammers, Daniel Rueckert
Proceedings Volume 10574, 105741K (2018) https://doi.org/10.1117/12.2293256
KEYWORDS: Computer programming, Magnetic resonance imaging, Alzheimer's disease, Modeling, Brain, Neuroimaging, Visualization

Showing 5 of 46 publications
Conference Committee Involvement (9)
Image Processing
10 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States
Image Processing
6 February 2012 | San Diego, California, United States
Image Processing
14 February 2011 | Lake Buena Vista (Orlando), Florida, United States
Image Processing
14 February 2010 | San Diego, California, United States
Image Processing
8 February 2009 | Lake Buena Vista (Orlando Area), Florida, United States
Showing 5 of 9 Conference Committees
Course Instructor
SC472: Fundamentals of Medical Image Registration
This course will provide attendees with a basic working knowledge of methods used to register images, and a description of some examples of the wide variety of applications for which these techniques are used. Applications of image registration include combining images of the same subject from different modalities, aligning temporal sequences of images to compensate for motion of the subject between scans, providing guidance during surgical procedures, correcting for soft tissue deformation, and aligning images from multiple subjects in cohort studies. Current registration algorithms can in many cases automatically register images that are related by a rigid-body transformation. There has also been substantial progress in non-rigid registration algorithms that can compensate for tissue deformation or align images from different subjects.
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