Contour Tracking
Contour Tracking - Related Videos
01:22
Level Curves and Contour Maps
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2026
Level curves and contour maps provide a way to visualize functions of two variables on a two-dimensional plane. A useful example is a topographic map, where curved lines represent locations that share the same elevation. In mathematics, these curves are called level curves or contour lines. Each contour line corresponds to points in the domain where the function has a constant value. For a function of two variables written as z = f(x,y), a level curve is defined by the equation f(x,y) = k,...
01:29
Topographic Surveying and Contours
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2025
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
10:41
Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
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Cited by 9 •
2015
Here it is shown how to track and quantify developmental processes in C. elegans. The methods presented are based on open-source tools that can be easily implemented. It is demonstrated how to reconstruct 3D cell-shape models, how to manually track subcellular structures, and how to analyze cortical contractile flow.
08:17
Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
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Cited by 9 •
2015
Stereotactic ablative body radiation therapy (SBRT) involves the precise delivery of high-dose radiation to cancer tumor targets. A novel SBRT platform offers a first-of-its-kind gimbaled radiation accelerator mounted within a pivoting O-ring gantry capable of dynamic image-guided tumor tracking. Here, we describe dynamic tumor tracking for lung targets.
05:55
Multiple Object Tracking
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University In a staggeringly complex and engaging world, it is crucial to selectively process some stimuli at the expense of others. Experimental psychologists call this ability attention. Specifically, visual attention refers to the ability to selectively process aspects of a visual scene. Many paradigms used to study visual attention involve brief, punctuated, and repeated trials. However, everyday situations often place sustained demands...
FAQs
The method compares image information around the existing boundary, including intensity, edge strength, texture, and similarity of neighboring regions. These cues indicate where the structure may continue in the next frame or imaging slice. Combining several signals helps the contour follow boundaries even when one cue is weak, supporting more consistent analysis across medical images.
Image data can contain noise, weak edges, or ambiguous regions that might pull a boundary toward an incorrect location. Smoothness constraints discourage abrupt contour changes, while anatomical plausibility limits unrealistic movement or shape changes. Together, these controls help preserve a coherent representation of an organ, tumor, vessel, or instrument as tracking proceeds.
Boundary intensity changes, visible edges, texture patterns, and similarity within an image region all influence how the contour is updated. Their usefulness depends on how clearly the target differs from surrounding tissue or structures in the available image. Applying constraints alongside these features can reduce errors when image appearance is inconsistent or boundaries are difficult to distinguish.
A workflow begins with an initial contour placed around the structure of interest. The system then examines relevant image cues and updates the contour as it moves through video frames or imaging slices. Constraints favor smooth, anatomically plausible changes during this process. The resulting tracked boundary can then support segmentation, measurement, or subsequent clinical image analysis.
After an initial contour is provided, subsequent boundaries can be followed rather than traced manually in every frame or slice. This reduces repeated outlining work and can improve workflow efficiency. The tracked contours also provide a basis for quantifying structural changes in organs, tumors, or vessels, although the usefulness of the result depends on the image information and tracking behavior.
Medical applications include following organs, tumors, blood vessels, and surgical instruments in ultrasound, magnetic resonance imaging, and computed tomography. The resulting boundaries can support segmentation and measurement, treatment planning, image-guided procedures, and monitoring disease-related structural changes over time. Its value is especially relevant when repeated boundary assessment would otherwise require substantial manual tracing.