Ultrasonic characterization of backscatter from human cancellous bone with a renyi entopy metric: Correlation with x-ray bone mineral density

Wallace, Kirk; Hoffmeister, Brent K.; Thomas, Lewis J.; Kaste, Sue C.; Lanza, Gregory M.; Wickline, Samuel A.

doi:10.1109/ultsym.2009.5441607

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Validated with clinical DEXA UltraScan 650 model, the plot between the BMD measured from DEXA and the square root of the product of these two time-delay parameters demonstrates a linear relation with R 2 of 0.92. More research on QUS for bone density measurement can referred to [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Bone Mineral Density Screening System Using CMOS-Sensor X-ray Detector

Maneerat

Visitsattapongse

Pintavirooj

2021

Sensors

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This research concerns a design and construction of a bone mineral density (BMD) and bone mineral content (BMC) measurement system based on dual energy X-ray absorptiometry (DEXA). An indirect X-ray detector is designed by optical coupling CMOS sensor with image on the intensifying screen. A dedicated microcontroller X-ray apparatus is used as an X-ray source to capture two energy level X-ray of middle phalanges bone of middle finger. The captured image is processed based on modified Beer-Lambert law to compute bone mineral density. Bone mineral content is also computed by determining the area of the phalanges bone using active contour. The designed bone mineral density (BMD) and bone mineral content (BMC) measurement system is low-cost and hence can be distributed at district hospital for screening purposes of Osteoporosis of the elderly. Compared with BMD measured from commercial model, BMD measurement of our system acquires linear relation with R2 equals 0.969. The mean square error between the normalized BMD value and that of the commercial model is 0.0000981.

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Section: Introductionmentioning

confidence: 99%

Bone Mineral Density Screening System Using CMOS-Sensor X-ray Detector

Maneerat

Visitsattapongse

Pintavirooj

2021

Sensors

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“…7,9,13,[15][16][17][19][20][21][22][23][29][30][31][32]34 Unlike its X-ray based counterpart tools, ultrasoundbased techniques offer clear advantages due to their non-ionizing nature, low cost, portability, and ease of use. Ultrasonic characterization of backscatter from human cancellous bone with Renyi entropy was shown to have a correlation with X-ray BMD in the study done by Wallace et al 29 This work assessed material properties of cancellous bone as compared with pQCT. Ultrasonic C-scan imaging is a two dimensional presentation of data displayed as a top or planar view of a test piece, similar in its graphic perspective to an X-ray image, where color represents the gated signal amplitude or depth at each point in the test piece mapped to its position.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Evaluation of Bone Quality in Cadaver Ilia

Ghorayeb

Rooney

2013

Ann Biomed Eng

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Several imaging modalities have traditionally been utilized to assess bone health. However, none of these standards is capable of providing a clear rendition or display of the damaged bone layers caused, for instance, by osteoporosis. This study examines the use of ultrasound for non-invasive monitoring of bone quality in bone samples with various degrees of porosity. A user-defined region of interest (ROI) in the iliac portion of extracted human cadaver coxal bones is monitored and quantified. Raster C-scan images of the ROI were acquired and compared to basic physical measurements, and to bone scans using dual energy X-ray absorptiometry (DXA). A quantitative measure of the superficial sub-surface composite matrix (ScM) content was analyzed using linear regression with all physical and DXA measures. The trend in the degree of percent bone loss (PBL) measured by ultrasound (US) was found to be closely paralleled with that measured by DXA (R(2) = 0.82, p < .0005). Also, the trend in which PBL (US) correlated with bone mineral density (BMD) (R(2) = 0.62, p < .01) was found to exhibit a similar behavior when the latter was compared to dry mass density (DmD) of the bone samples (R(2) = 0.63, p < .01). However, when PBL (DXA) was compared to DmD, it did reveal a better linearity (R(2) = 0.69, p < .005) than the one obtained when PBL (US) was compared with the same DmD (R(2) = 0.45, p < .05). A similar outcome was observed when PBL (US) was compared with percent porosity (R(2) = 0.51, p < .05), as opposed to the better linearity exhibited between PBL (DXA) and porosity (R(2) = 0.86, p < .0005). Despite these slight variations, further analyses on the statistical significance between these correlations suggest that ultrasound can be an effective imaging technique in assessing the degree of bone damage, and can be used to assess the structural integrity of bones.

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Quantitative imaging of ultrasound backscattered signals with information entropy for bone microstructure characterization

Wang

Chu

Lin

et al. 2022

Sci Rep

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Osteoporosis is a critical problem during aging. Ultrasound signals backscattered from bone contain information associated with microstructures. This study proposed using entropy imaging to collect the information in bone microstructures as a possible solution for ultrasound bone tissue characterization. Bone phantoms with different pounds per cubic foot (PCF) were used for ultrasound scanning by using single-element transducers of 1 (nonfocused) and 3.5 MHz (nonfocused and focused). Clinical measurements were also performed on lumbar vertebrae (L3 spinal segment) in participants with different ages (n = 34) and postmenopausal women with low or moderate-to-high risk of osteoporosis (n = 50; identified using the Osteoporosis Self-Assessment Tool for Taiwan). The signals backscattered from the bone phantoms and subjects were acquired for ultrasound entropy imaging by using sliding window processing. The independent t-test, one-way analysis of variance, Spearman correlation coefficient rs, and the receiver operating characteristic (ROC) curve were used for statistical analysis. The results indicated that ultrasound entropy imaging revealed changes in bone microstructures. Using the 3.5-MHz focused ultrasound, small-window entropy imaging (side length: one pulse length of the transducer) was found to have high performance and sensitivity in detecting variation among the PCFs (rs = − 0.83; p < 0.05). Small-window entropy imaging also performed well in discriminating young and old participants (p < 0.05) and postmenopausal women with low versus moderate-to-high osteoporosis risk (the area under the ROC curve = 0.80; cut-off value = 2.65; accuracy = 86.00%; sensitivity = 71.43%; specificity = 88.37%). Ultrasound small-window entropy imaging has great potential in bone tissue characterization and osteoporosis assessment.

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Ultrasonic characterization of backscatter from human cancellous bone with a renyi entopy metric: Correlation with x-ray bone mineral density

Cited by 3 publications

References 11 publications

Bone Mineral Density Screening System Using CMOS-Sensor X-ray Detector

Bone Mineral Density Screening System Using CMOS-Sensor X-ray Detector

Ultrasonic Evaluation of Bone Quality in Cadaver Ilia

Quantitative imaging of ultrasound backscattered signals with information entropy for bone microstructure characterization

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