4D space-time techniques: a medical imaging case study

@article{Tory20014DST,
  title={4D space-time techniques: a medical imaging case study},
  author={Melanie K. Tory and Niklas R{\"o}ber and Torsten M{\"o}ller and Anna Celler and M. Stella Atkins},
  journal={Proceedings Visualization, 2001. VIS '01.},
  year={2001},
  pages={473-592}
}
We present the problem of visualizing time-varying medical data. Two medical imaging modalities are compared-MRI and dynamic SPECT. For each modality, we examine several derived scalar and vector quantities such as the change in intensity over time, the spatial gradient, and the change of the gradient over time. We compare several methods for presenting the data, including isosurfaces, direct volume rendering, and vector visualization using glyphs. These techniques may provide more information… 
View on ACM
cs.sfu.ca
34 Citations
Background Citations
7
Methods Citations
9

Figures from this paper

34 Citations

Citation Type

Citation Type

Visualization and exploration of time-varying medical image data sets
TLDR
Several methods for the visualization and exploration of time-varying volumetric medical images based on the temporal characteristics of the data are proposed and compared to offer researchers and health care professionals a new tool to study the time-Varying medical imaging data sets.
VISUALIZATION AND EXPLORATION OF TIME-VARYING AND DIFFUSION TENSOR MEDICAL IMAGE DATA SETS
TLDR
These techniques are designed to offer researchers and health care professionals a new tool to study time-varying and diffusion tensor medical imaging data sets and validate these methods on synthetic dynamic Single Photon Emission Computed Tomography and Positron Emission Tomography data sets.
Exploration of Time-Varying Data for Medical Diagnosis
TLDR
With these methods, crucial dynamic information can be extracted out of a 4D data volume allowing the simultaneous presentation of dynamic temporal and 3D spatial information.
Interactive Deformable Registration Visualization and Analysis of 4D Computed Tomography
TLDR
A new interactive method for analyzing 4D Computed Tomography datasets for patient care and research that provides users with the capability to visualize these trajectories while simultaneously rendering anatomical volumes, which can greatly improve the accuracy of deformable registration.
Motion-moderated Transfer Function for Volume Rendering 4D CMR Data
TLDR
This paper proposes to moderate the traditional transfer function based on intensity and intensity gradient, which enables the exterior boundary of a beating heart in a temporally consistent manner and presents a ray-casting pipeline which includes optional flow estimation and a mechanism to assist temporal coherence in animation.
Medical Volume Reconstruction Techniques
TLDR
Techniques are presented for traditional alpha-blending rendering, surface-shaded display, maximum intensity projection (MIP), and fast previewing with fully interactive parameter control for volume visualization in medical visualization.
Visual Exploration and Analysis of Perfusion Data
Dynamic volume rendering of functional medical data on dissimilar hardware platforms
TLDR
While fMRI’s can be used to capture any anatomical data over time, one of the more common uses of fMRI is to capture brain activity, and academic research has advanced volume rendering and specifically fMRI volume rendering.
Analysis and Visualization Techniques for Dynamic Emission Tomography Images
TLDR
A semi-supervised, kinetic-modeling-based segmentation technique to identify functional regions of interest is proposed and an interactive analysis and visualization tool for probabilistic segmentations of medical images is developed.
Graph-based retrospective 4D image construction from free-breathing MRI slice acquisitions
TLDR
A novel graph-based combinatorial optimization solution for constructing the best possible 4D scene from such data entirely in the digital domain is presented and Experimental results show that the reconstructed 4D scenes are smooth and consistent spatially and temporally, agreeing with known shape and motion of the lungs.
...
1
2
3
4
...

References

SHOWING 1-10 OF 22 REFERENCES
Visualization of time-varying MRI data for MS lesion analysis
TLDR
This work implemented several ideas that attempt to address the deficiency in visual tools that emphasize change over time in diagnose and follow treatment of Multiple Sclerosis.
Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces
TLDR
Expert feedback from doctors studying changes in white-matter structures after gamma-knife capsulotomy and preoperative planning for brain tumor surgery shows that streamtubes correlate well with major neural structures, the 2D section and geometric landmarks are important in understanding the visualization, and the stereo and interactivity from the virtual environment aid inUnderstanding the complex geometric models.
Marching cubes: A high resolution 3D surface construction algorithm
We present a new algorithm, called marching cubes, that creates triangle models of constant density surfaces from 3D medical data. Using a divide-and-conquer approach to generate inter-slice…
Detection of Subtle Brain Changes Using Subvoxel Registration and Subtraction of Serial MR Images
TLDR
With use of subvoxel registration, subtle changes in the brain were detected in a variety of physiological and clinical situations where differences have hitherto been difficult or impossible to detect.
4D Volume Rendering with the Shear Warp Factorisation
TLDR
A novel approach for rendering time-varying data based on the Shear-Warp factorisation is presented, utilising a data structure that allows easy volume update and stores information about the empty space within each volume.
Hue-balls and lit-tensors for direct volume rendering of diffusion tensor fields
TLDR
Direct volume rendering is proposed, with novel approaches for the tensors' coloring, lighting, and opacity assignment based on a novel two-dimensional barycentric space of anisotropy, to produce informative renderings of measured diffusion tensor data from the human brain.
Handbook of Medical Imaging—Processing and Analysis
Performance of the dynamic single photon emission computed tomography (dSPECT) method for decreasing or increasing activity changes.
TLDR
A new approach to dynamic SPECT imaging (dSPECT method) is presented that uses a single slow rotation of a conventional camera and allows us to reconstruct a series of 3D images corresponding to the radiotracer distribution in the body at various times and the time-activity curves determined are very similar to those obtained from dynamic planar scans.
Rapid Automated Algorithm for Aligning and Reslicing PET Images
TLDR
A computer algorithm for the three-dimensional alignment of PET images is described that relies on anatomic information in the images rather than on external fiducial markers and can be applied retrospectively, during acquisition, to reposition the scanner gantry and bed to match an earlier study.
Visualizing diffusion tensor images of the mouse spinal cord
TLDR
The visualizations show significant differences between spinal cords from mice suffering from experimental allergic encephalomyelitis and spinal cord from wild-type mice and suggest that the new non-invasive imaging methodology and visualization of the results could have early diagnostic value for neurodegenerative diseases.
...
1
2
3
...