Volumetric Ultrasound Data
Volumetric Ultrasound Data - Related Videos
12:23
Multi-modal Imaging of Angiogenesis in a Nude Rat Model of Breast Cancer Bone Metastasis Using Magnetic Resonance Imaging, Volumetric Computed Tomography and Ultrasound
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Cited by 16 •
2012
In the pathogenesis of bone metastasis, angiogenesis is a crucial process and therefore represents a target for imaging and therapy. Here, we present a rat model of site-specific breast cancer bone metastasis and describe strategies to non-invasively image angiogenesis in vivo using magnetic resonance imaging, volumetric computed tomography and ultrasound.
10:53
A Novel Application of Musculoskeletal Ultrasound Imaging
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Cited by 14 •
2013
We describe a new ultrasound-based vector tissue Doppler imaging technique to measure muscle contraction velocity, strain and strain rate with sub-millisecond temporal resolution during dynamic activities. This approach provides complementary measurements of dynamic muscle function and could lead to a better understanding of mechanisms underlying musculoskeletal disorders.
06:26
Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
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2025
We present a detailed protocol for three-dimensional analysis of soft tissue changes with the use of stereophotogrammetry.
14:20
High-frequency Ultrasound Imaging of the Abdominal Aorta
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2023
Source: Amelia R. Adelsperger, Evan H. Phillips, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana High-frequency ultrasound systems are used to acquire high resolution images. Here, the use of a state-of-the-art system will be demonstrated to image the morphology and hemodynamics of small pulsatile arteries and veins found in mice and rats. Ultrasound is a relatively inexpensive, portable, and versatile method for the noninvasive...
09:00
Murine Echocardiography and Ultrasound Imaging
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Cited by 61 •
2010
This video demonstrates use of a rail-mounted high-frequency ultrasound probe to perform echocardiography on an anesthetized mouse. The methods describe both conventional two-dimensional and M-mode measurements of cardiac function in addition to newer, more powerful tools such as color Doppler, strain analysis, as well as general and targeted contrast imaging.
FAQs
Echo patterns become spatially useful when returning signals are associated with material interfaces and assigned to locations within the scanned region. Measurements gathered from different viewing angles or transducer positions are combined into voxels, allowing an internal feature to be examined in relation to surrounding geometry rather than as an isolated signal. This supports three-dimensional structural characterization.
Repeated acquisition can represent motion over time, adding temporal information to the spatial volume. Instead of examining only the internal arrangement of features at one acquisition point, engineers can analyze how that arrangement changes during observation. This capability extends volumetric ultrasound data from static inspection toward visualization of changing conditions within a tissue, object, or component.
Segmentation separates selected structures or features within the voxel-based volume, while volume rendering creates a visual representation of the three-dimensional dataset. Together, these methods help users isolate internal features, inspect their spatial relationships, and quantify defects. The resulting analysis supports more informed interpretation than viewing unprocessed echo measurements alone.
A single two-dimensional image presents information within one imaging plane, whereas volumetric ultrasound data support spatial analysis throughout a scanned region. The volume can show how an internal feature relates to surrounding geometry across multiple positions and viewing angles. This broader representation is valuable when three-dimensional shape, location, or structural context affects the engineering assessment.
The workflow begins by transmitting high-frequency sound pulses into the tissue, object, or component and recording the returning echoes. Measurements are acquired across multiple viewing angles or positions, then combined into a voxel-based representation of the scanned volume. Subsequent processing, such as segmentation or volume rendering, prepares the dataset for inspection and quantitative analysis.
Engineers can apply these data to nondestructive evaluation, geometric inspection, and structural characterization. The approach enables examination of internal features without cutting or otherwise damaging the component. It is therefore relevant when inspection must preserve the object while still providing spatial information that can support assessment of internal conditions and component geometry.
Processed ultrasound volumes can help quantify defects and relate them to the surrounding structure. That information supports decisions in design, manufacturing, and quality control by providing evidence about internal features without destructive sectioning. In practice, segmentation and volume rendering make the results easier to inspect and connect the measured volume with engineering evaluation tasks.