Bone Volume Analysis
Bone Volume Analysis - Related Videos
08:49
Models of Bone Metastasis
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Cited by 115 •
2012
Animal models are frequently utilized to study cancer metastasis to bone. In this protocol we will describe two common methods of tumor inoculation for bone metastasis studies and briefly describe some of the analyses utilized to monitor and quantify these models.
07:29
Undecalcified Bone Preparation for Histology, Histomorphometry and Fluorochrome Analysis
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Cited by 32 •
2010
Undecalcified bone histology provides important information for a variety of clinical and research applications. It is technically challenging, particularly with large size specimens. This video illustrates the process of producing good quality sections and demonstrates the technical difficulties and methods with which to overcome them.
11:38
Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench
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Cited by 10 •
2017
Segmentation of three-dimensional data from many imaging techniques is a major bottleneck in analysis of complex biological systems. Here, we describe the use of SuRVoS Workbench to semi-automatically segment volumetric data at various length-scales using example datasets from cryo-electron tomography, cryo soft X-ray tomography, and phase contrast X-ray tomography techniques.
08:15
Cardiac Pressure-Volume Loop Analysis Using Conductance Catheters in Mice
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Cited by 33 •
2015
Cardiac pressure-volume loop analysis is the most comprehensive way to measure cardiac function in the intact heart. We describe a technique to perform and analyze cardiac pressure volume loops, using conductance catheters.
07:17
Murine Hind Limb Long Bone Dissection and Bone Marrow Isolation
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Cited by 293 •
2016
Here we present a protocol for the dissection of hind limb long bones (femurs and tibiae) from the laboratory mouse. We further describe a rapid technique for bone marrow isolation from these bones that utilizes centrifugation for removal of bone marrow from the bone marrow space.
FAQs
Segmentation separates bone from surrounding tissue in an image or three-dimensional microscopy dataset. The quality of this separation directly affects the reconstructed geometry and the calculated measurements, including total bone volume and bone volume fraction. Consistent segmentation is therefore essential when comparing anatomical regions, tissue samples, patients, experimental models, or treatment groups.
Total bone volume quantifies the overall amount of bone in the analyzed region, whereas bone volume fraction relates bone quantity to the surrounding analyzed space. Spatial distribution shows where that bone is located and how it changes regionally. Considering these measures together can distinguish a generalized change in bone amount from a localized alteration in skeletal structure.
Both approaches provide data from which bone can be distinguished, reconstructed, and measured, but they address different analysis settings. Medical imaging supports assessment of anatomical regions, while three-dimensional microscopy can characterize bone within tissue samples. The selected source determines the scale and context of the reconstructed geometry, allowing analysis to match the clinical or experimental question.
A typical workflow begins by selecting the anatomical region or tissue sample and acquiring medical imaging or three-dimensional microscopy data. Bone is then segmented from surrounding tissue, followed by reconstruction of its three-dimensional geometry. Finally, total volume, bone volume fraction, and regional changes are calculated and standardized measurements are compared across relevant groups or time points.
The measurements are useful when researchers need objective evidence about skeletal structure or changes in bone tissue. Applications include characterizing osteoporosis, evaluating fracture healing, assessing implant integration, and studying skeletal development. Because the analysis quantifies both amount and regional distribution, it can support treatment evaluation, disease investigation, and research into bone regeneration.
Standardization makes measurements more comparable by applying consistent analysis approaches to the selected region, tissue sample, imaging or microscopy data, segmentation, reconstruction, and calculated metrics. This supports clearer comparisons across patients, experimental models, and treatment groups. In medicine, improved comparability can strengthen monitoring and provide more consistent evidence for skeletal disease and repair outcomes.