A New Method for Generating 3D Thermography Models

Souza, Mauren Abreu de; Sanches, Ionildo José; Gamba, Humberto Remigio

doi:10.2316/p.2012.764-081

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…These thermographic images are acquired roughly at the same viewing of the "2D projections", i. e., at 0º, 90º, 180º and 270º. Originally, the small differences between the orthogonal and perspective representation were not considered [1,2]. However, further experiments proved that even such a small difference has an effect on the final 3D model.…”

Section: Image Fusion Improvements Applied At the Generation Of 3d Thmentioning

confidence: 98%

“…This integration may provide a detailed analysis of the different structures and at the same time it supplies information about physiology [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…The 3D THERMO [1,2] combines two different imaging modalities: 2D Infrared Images (IR) (skin temperature changes) with Magnetic Resonance Images (MRI) or Computer Tomography (CT) images, in order to obtain 3D thermal models. Regarding the 3D image visualization process, there are two different image viewing projections: orthogonal and perspective.…”

Section: Introductionmentioning

confidence: 99%

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Image fusion improvements applied at the generation of 3D thermal models

Souza

Sanches

Gamba

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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The application of multimodal image registration to various medical applications has been investigated. Image fusion involving 3D thermal and MRI/CT images allows the extraction of both functional and anatomical information, which may become a powerful tool to aid in clinical diagnoses. This paper presents innovations at the image fusion methodology, which currently requires that both imaging modalities are represented and visualized at the same 3D viewing projection. The proposed solution is based and compared with two different viewing projections: orthogonal and perspective. The methodology requires that the thermographic images (or photographs) are visualized in the orthogonal view, in order to match with the 2D projected images (using range images) from MRI/CT. The results obtained have shown significant improvements in the 3D thermal models, when compared and evaluated with the perspective approach. This allowed the generation of more accurate 3D models, which match both the geometry and texture (functional temperature information). Since it is desirable to combine or unify more than one imaging modality, these 3D multimodal models may have a strong impact in many clinical applications.

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Section: Image Fusion Improvements Applied At the Generation Of 3d Thmentioning

confidence: 98%

“…This integration may provide a detailed analysis of the different structures and at the same time it supplies information about physiology [1,2].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Image fusion improvements applied at the generation of 3D thermal models

Souza

Sanches

Gamba

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Self Cite

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“…Multiple IR images are taken from various angles and integrated with 2D RGB images to effectively reconstruct a 3D model of the object's temperature distributions. De Souza et al [5] introduced a new method to combine 2D Infrared Images with Magnetic Resonance Images (MRI) and/or Computer Tomography (CT) images using an image registration methodology. Ng and Du [6] reconstructed an object's 3D thermal distribution using the octave carving technique.…”

Section: Introductionmentioning

confidence: 99%

Errors in Thermographic Camera Measurement Caused by Known Heat Sources and Depth Based Correction

Manuel

Lin

et al. 2016

AUSMT

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Thermal imaging has shown to be a better tool for the quantitative measurement of temperature than single spot infrared thermometers. However, thermographic cameras can encounter errors in acquiring accurate temperature measurements in the presence of other environmental heat sources. Some of these errors arise due to the inability of the thermal camera to detect objects and features in the infrared domain. In this paper, the thermal image is registered as a stereo image from a Kinect system prior to depth-based correction. Experiments demonstrating the error are presented together with the determination of the measurement errors under prior knowledge of the thermographed scene. The proposed correction scheme improves the accuracy of the thermal image through augmentation using the Kinect system.

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3D thermal medical image visualization tool: Integration between MRI and thermographic images

Souza

Paz

Sanches

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Three-dimensional medical image reconstruction using different images modalities require registration techniques that are, in general, based on the stacking of 2D MRI/CT images slices. In this way, the integration of two different imaging modalities: anatomical (MRI/CT) and physiological information (infrared image), to generate a 3D thermal model, is a new methodology still under development. This paper presents a 3D THERMO interface that provides flexibility for the 3D visualization: it incorporates the DICOM parameters; different color scale palettes at the final 3D model; 3D visualization at different planes of sections; and a filtering option that provides better image visualization. To summarize, the 3D thermographc medical image visualization provides a realistic and precise medical tool. The merging of two different imaging modalities allows better quality and more fidelity, especially for medical applications in which the temperature changes are clinically significant.

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A New Method for Generating 3D Thermography Models

Cited by 4 publications

References 15 publications

Image fusion improvements applied at the generation of 3D thermal models

Image fusion improvements applied at the generation of 3D thermal models

Errors in Thermographic Camera Measurement Caused by Known Heat Sources and Depth Based Correction

3D thermal medical image visualization tool: Integration between MRI and thermographic images

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