Evaluation of genetic algorithm-generated multivariate color tables for the visualization of multimodal medical fused data sets

Baum, Karl G.; Helguera, María; Schmidt, Evan; Rafferty, Kimberly; Król, Andrzej

doi:10.1109/nssmic.2008.4774246

Cited by 3 publications

(4 citation statements)

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“…This is naturally facilitated by the dual-parameter representation on a single colour scale used in this paper. We have generated our colour map following the framework presented by Geissbuehler and Lasser (2013) and Baum et al (2006). By overlaying the dual-parameter viscoelastogram on the OCT B-scan, we also provide structural context to the estimated viscoelasticity.…”

Section: Discussionmentioning

confidence: 99%

“…By overlaying the dual-parameter viscoelastogram on the OCT B-scan, we also provide structural context to the estimated viscoelasticity. Such dual-parameter images are common in fluorescence imaging, and overlays have been used in multi-modality imaging, such as MRI/PET (Baum et al 2006). Single-parameter overlay images have also been previously explored in cardiovascular imaging using polarization-sensitive OCT (Villiger et al 2013).…”

Section: Discussionmentioning

confidence: 99%

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Parametric imaging of viscoelasticity using optical coherence elastography

et al. 2015

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We demonstrate imaging of soft tissue viscoelasticity using optical coherence elastography. Viscoelastic creep deformation is induced in tissue using step-like compressive loading and the resulting time-varying deformation is measured using phase-sensitive optical coherence tomography. From a series of co-located B-scans, we estimate the local strain rate as a function of time, and parameterize it using a four-parameter Kelvin-Voigt model of viscoelastic creep. The estimated viscoelastic strain and time constant are used to visualize viscoelastic creep in 2D, dual-parameter viscoelastograms. We demonstrate our technique on six silicone tissue-simulating phantoms spanning a range of viscoelastic parameters. As an example in soft tissue, we report viscoelastic contrast between muscle and connective tissue in fresh, ex vivo rat gastrocnemius muscle and mouse abdominal transection. Imaging viscoelastic creep deformation has the potential to provide complementary contrast to existing imaging modalities, and may provide greater insight into disease pathology.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Parametric imaging of viscoelasticity using optical coherence elastography

et al. 2015

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“…The task of registration [6][7][8][9] and fusion [9][10][11][12] of PET and MRI breast images has been addressed by the authors. However, the registration method used in those cases has limited clinical use due to the level of human interaction.…”

Section: Multimodal Breast Cancer Imagingmentioning

confidence: 99%

Localization of fiducial skin markers in MR images using correlation pattern recognition for PET/MRI nonrigid breast image registration

Walvoord

Baum

Helguera

et al. 2008

2008 37th IEEE Applied Imagery Pattern Recognition Workshop

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In most instances, multiple-modality visualization of pathologies will present advantages over single-modality studies. For many medical imaging procedures, it is desirable to produce a "fused" output that simultaneously exhibits characteristics of the data from each individual modality to reduce the difficulty of the decision-making process for radiologists. Preprocessing for most data fusion algorithms typically performs the necessary registration of the input data (from each modality). Fiducial markers may be used to display image locations that are common to each modality if the images exhibit very different spatial structure, as is the case with MRI and PET imagery. The process of automating the detection of these markers needs more investigation in the medical field, and the current state of the art often requires manual selection by a human observer throughout the 3-dimensional image stack. The objective of automated detection is to locate the centroid of each marker in a noisy background that contains additional objects that span a large range of intensity values. The correlation methods employed must somehow "normalize" the images to accommodate changes in the input image, so that "brightness" of the region does not affect the correlation, thus reducing the false positive rate. The filter should accommodate within-class distortion, as the size and shape of the fiducial marker will vary through the image stack. For this work, a mean-subtracted MACH filter was constructed and applied to data that are mean-subtracted locally. The location of centroids in the output stack of correlation planes was determined by applying morphological operations to extract regions-of-interest. It is apparent that a relatively high probability of detection is obtained over a wide range of thresholds with an acceptable false positive rate.

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“…Figure 6 shows a subset of the fusion capabilities provided by the current plug-ins. For more information on fusion techniques see [8,9] and their associated posters which can be found at [10].…”

Section: Viewing Multiple Data Setsmentioning

confidence: 99%

A new application for displaying and fusing multimodal data sets

2007

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A recently developed, freely available, application specifically designed for the visualization of multimodal data sets is presented. The application allows multiple 3D data sets such as CT (x-ray computer tomography), MRI (magnetic resonance imaging), PET (positron emission tomography), and SPECT (single photon emission tomography) of the same subject to be viewed simultaneously. This is done by maintaining synchronization of the spatial location viewed within all modalities, and by providing fused views of the data where multiple data sets are displayed as a single volume.Different options for the fused views are provided by plug-ins. Plug-ins typically used include color-overlays and interlacing, but more complex plug-ins such as those based on different color spaces, and component analysis techniques are also supported.Corrections for resolution differences and user preference of contrast and brightness are made. Pre-defined and custom color tables can be used to enhance the viewing experience. In addition to these essential capabilities, multiple options are provided for mapping 16-bit data sets onto an 8-bit display, including windowing, automatically and dynamically defined tone transfer functions, and histogram based techniques.The 3D data sets can be viewed not only as a stack of images, but also as the preferred three orthogonal cross sections through the volume. More advanced volumetric displays of both individual data sets and fused views are also provided. This includes the common MIP (maximum intensity projection) both with and without depth correction for both individual data sets and multimodal data sets created using a fusion plug-in.

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Evaluation of genetic algorithm-generated multivariate color tables for the visualization of multimodal medical fused data sets

Cited by 3 publications

References 10 publications

Parametric imaging of viscoelasticity using optical coherence elastography

Parametric imaging of viscoelasticity using optical coherence elastography

Localization of fiducial skin markers in MR images using correlation pattern recognition for PET/MRI nonrigid breast image registration

A new application for displaying and fusing multimodal data sets

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