Multimodal fusion system for NDT and Metrology

Verney, Benjamin; Akhloufi, Moulay A.; Aubreton, Olivier

doi:10.21611/qirt.2014.173

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…Hereby, a 2D image patch is projected onto the 3D surface by mapping the image to surface coordinates. In our case, an orthogonal projection can be used to project the registered 2D thermographic image coordinates along the image normal vector onto the isosurface [1] (see Figure 5). …”

Section: Image Fusionmentioning

confidence: 99%

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

Hoffmann

Weidner

Meyer

et al. 2017

Biomedical Engineering / Biomedizinische Technik

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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 singlephoton 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.

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Section: Image Fusionmentioning

confidence: 99%

“…Other approaches require use of stereo camera systems [20] or light field cameras [24]. Another efficient [17] approach is called texture mapping [4], which was used in [1] for the image fusion of thermographic images with 3D models. Yet, contrary to ray casting [9] or projective mappings, occluded pixels are assigned a color.…”

Section: Introductionmentioning

confidence: 99%

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

Hoffmann

Weidner

Meyer

et al. 2017

Biomedical Engineering / Biomedizinische Technik

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“…The result is a thermal image sequence (thermogram). Image processing techniques can be applied to the thermogram in order to automatically extract the subsurface defects [24][25].…”

Section: Thermal Imaging For Ndtmentioning

confidence: 99%

Three-dimensional non-destructive testing (NDT) in the infrared spectrum

et al. 2015

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Three-dimensional (3D) vision scanning for metrology and inspection applications is an area that knows an increasing interest in the industry. This interest is driven by the recent advances in 3D technologies, permitting to attain high precision measurements at an affordable cost. 3D vision allows for the modelling and inspection of the visible surface of objects. When it is necessary to detect subsurface defects, active infrared (IR) thermography is one of the most used tools today for non-destructive testing (NDT) of materials. Fusion of these two modalities allows the simultaneous detection of surface and subsurface defects and to visualize these defects overlaid on a 3D model of the scanned and modelled parts or their 3D computer-aided design (CAD) models. In this work, we present a framework for automatically fusing 3D data (scanned or CAD) with the infrared thermal images for an NDT process in 3D space.

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Multimodal fusion system for NDT and Metrology

Cited by 2 publications

References 14 publications

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

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

Three-dimensional non-destructive testing (NDT) in the infrared spectrum

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