Framework for 2D-3D image fusion of infrared thermography with preoperative MRI

Multimodal medical image fusion combines information of one or more images in order to improve the diagnostic value. While previous applications mainly focus on merging images from computed tomography, magnetic resonance imaging (MRI), ultrasonic and single-photon emission computed tomography, we pr...

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Bibliographic Details
Published inBiomedizinische Technik Vol. 62; no. 6; pp. 599 - 607
Main Authors Hoffmann, Nico, Weidner, Florian, Urban, Peter, Meyer, Tobias, Schnabel, Christian, Radev, Yordan, Schackert, Gabriele, Petersohn, Uwe, Koch, Edmund, Gumhold, Stefan, Steiner, Gerald, Kirsch, Matthias
Format Journal Article
LanguageEnglish
German
Published Germany De Gruyter 27.11.2017
Walter de Gruyter GmbH
Subjects
Brain
Brain - pathology
Calibration
Cameras
Computation
Computed tomography
Computer vision
Defense industry
Diagnostic software
Diagnostic systems
Humans
image fusion
Image processing
image-guided neurosurgery
Imaging, Three-Dimensional - methods
Infrared cameras
Infrared imagery
Infrared radiation
infrared thermography
Magnetic Resonance Imaging
Neuroimaging
Neuronavigation
neurosurgery
NMR
Nuclear magnetic resonance
Photon emission
Thermography
Tomography
Tomography, X-Ray Computed
Tracking
Ultrasonic testing
infrared thermography
image-guided neurosurgery
magnetic resonance imaging
neurosurgery
image fusion
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Summary:Multimodal medical image fusion combines information of one or more images in order to improve the diagnostic value. While previous applications mainly focus on merging images from computed tomography, magnetic resonance imaging (MRI), ultrasonic and single-photon emission computed tomography, we propose a novel approach for the registration and fusion of preoperative 3D MRI with intraoperative 2D infrared thermography. Image-guided neurosurgeries are based on neuronavigation systems, which further allow us track the position and orientation of arbitrary cameras. Hereby, we are able to relate the 2D coordinate system of the infrared camera with the 3D MRI coordinate system. The registered image data are now combined by calibration-based image fusion in order to map our intraoperative 2D thermographic images onto the respective brain surface recovered from preoperative MRI. In extensive accuracy measurements, we found that the proposed framework achieves a mean accuracy of 2.46 mm.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0013-5585
1862-278X
DOI:10.1515/bmt-2016-0075