k 2 hpo 4 calibration phantom (Mindways Software)

About

News

Press Release

Team

Advisors

Partners

Contact

Bioz Stars

Bioz vStars

Buy from Supplier

Structured Review

Mindways Software k 2 hpo 4 calibration phantom

Density calibration methods for QCT image analysis. (a) Phantom calibration. K2HPO4 can be seen at the base of the image. Each rod is manually segmented 10 slices from each end and then interpolated (ITK‐SNAP) to establish the linear conversion between HU and <t>K</t> <t>2</t> <t>HPO</t> <t>4</t> density using the highest (teal) and lowest (red) densities . (b) Internal calibration. Referent tissues of air (yellow), adipose (red), and skeletal muscle (teal) were segmented manually at the level of the proximal humerus. Cortical bone (blue) was thresholded to determine the highest HU value (which is essential for establishing the HU‐density conversion).

K 2 Hpo 4 Calibration Phantom, supplied by Mindways Software, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/software+based+on+the+contin+algorithm/calibration+phantom/pmc12808855-52-24-35
Average 86 stars, based on 1 article reviews

k 2 hpo 4 calibration phantom - by Bioz Stars, 2026-09

86/100 stars

Images

1) Product Images from "Internal Density Calibration in the Proximal Humerus to Estimate Bone Stiffness for Stemless Shoulder Arthroplasty"

Article Title: Internal Density Calibration in the Proximal Humerus to Estimate Bone Stiffness for Stemless Shoulder Arthroplasty

Journal: Journal of Orthopaedic Research

doi: 10.1002/jor.70143

Figure Legend Snippet: Density calibration methods for QCT image analysis. (a) Phantom calibration. K2HPO4 can be seen at the base of the image. Each rod is manually segmented 10 slices from each end and then interpolated (ITK‐SNAP) to establish the linear conversion between HU and K 2 HPO 4 density using the highest (teal) and lowest (red) densities . (b) Internal calibration. Referent tissues of air (yellow), adipose (red), and skeletal muscle (teal) were segmented manually at the level of the proximal humerus. Cortical bone (blue) was thresholded to determine the highest HU value (which is essential for establishing the HU‐density conversion).

Techniques Used:

Comparing calibration techniques. (a) Linear regression showing correlation between vBMD (mgK 2 HPO 4 /cm 3 ) from internal calibration according to tissue combination relative to phantom calibration ( n = 39). (b) Bland–Altman plot for vBMD (mgK 2 HPO 4 /cm 3 ) for internal calibration according to tissue combination relative to phantom calibration ( n = 39).

Figure Legend Snippet: Comparing calibration techniques. (a) Linear regression showing correlation between vBMD (mgK 2 HPO 4 /cm 3 ) from internal calibration according to tissue combination relative to phantom calibration ( n = 39). (b) Bland–Altman plot for vBMD (mgK 2 HPO 4 /cm 3 ) for internal calibration according to tissue combination relative to phantom calibration ( n = 39).

Techniques Used:

other:

Article Title: Multi-modal and multi-organ in vivo imaging to assess geroprotective interventions in humans: results from a pilot trial of rapamycin in Alzheimer’s Disease
Article Snippet: A Mindways QCT calibration phantom containing inserts of known density (0, 50, 100, and 200 mg/cm 3 hydroxyapatite equivalent) cylinders was positioned beneath the participant for all scans.

Article Title: Correlation between bone marrow blood perfusion and bone mineral density in middle-aged and elderly population: a preliminary study based on IVIM-DWI.
Article Snippet: A solid-state CT calibration phantom (Mindways Software Inc., Austin, TX, USA) which was placed under the waist was used simultaneously during the scan.

Article Title: Quantitative CT-Derived Volumetric Bone Mineral Density Threshold for Predicting Cage Subsidence After Oblique Lumbar Interbody Fusion
Article Snippet: A Mindways 5-sample solid-state calibration phantom (Mindways Software Inc., Austin, TX, USA) was placed beneath the patient’s lumbar spine during scanning to enable phantom-based BMD calibration.

Article Title: Biomechanical assessment of vertebral fracture risk incorporating the effect of paraspinal muscles.
Article Snippet: within five years, from 85.21 to 152.13 per 100,000 personyears between 2013 and 2017, accompanied by a dramatic surge in medical costs from $92.74 million to $505.3 million [4].. Identification of high-risk population at an early stage through fracture risk assessment is important to prevent vertebral fractures.. In clinical practice, areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry (DXA) is routinely used as a standard tool for diagnosing osteoporosis and assessing fracture risk [5–7].

Article Title: Thyroid hormones and thyroid hormone sensitivity indices correlate with volumetric bone mineral density and vertebral fracture risk among the osteoporotic population in northern China
Article Snippet: QCT scans were performed using a Toshiba Aquilion 64-slice spiral CT scanner (Toshiba, Tokyo, Japan), with a Mindways 5-sample solid-state calibration phantom (Mindways, Austin, TX, USA) for standardized calibration.

Computed Tomography:

Article Title: A randomized controlled trial on the effect of Gushukang on bone mineral density in perimenopausal and postmenopausal women.
Article Snippet: .. Bone mineral density indicator Quantitative computed tomography (QCT) was performed using the same CT scanner (GE Optima CT660 system) and a solid-state CT calibration phantom (Mindways Software Inc., Austin, TX) placed beneath the lower back of each participant. ..

Imaging:

Article Title: Sensitivity analysis of a patient-specific finite element simulation pipeline incorporating automated vertebral segmentation for predicting vertebral strength of a clinical database.
Article Snippet: Background: Vertebral metastases compromise bone integrity and may lead to fractures with substantial clinical and economic consequences.. Finite element (FE) modeling based on computed tomography (CT) scans enables individualized biomechanical assessment but remains underused clinically due to workflow limitations.. Objective: To evaluate the sensitivity and accuracy of a patient-specific finite element (FE) simulation pipeline that incorporates automated vertebral segmentation for predicting vertebral strength in metastatic cases.

Review