Precision Radiomics

Actionable bone strength intelligence from routine imaging.

Transforming existing CT and MRI into patient-specific biomechanical insight for clinical decision-making.

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The clinical need

Bone density is not the same as bone strength.

Surgeons and clinicians often need objective information about whether bone can tolerate load, support fixation, or withstand fracture risk at the point of care. Precision Radiomics is designed to add biomechanical information to imaging that is already being acquired.

3DPatient-specific biomechanical assessment from CT or MRI.
15+ yrsof research and validation behind the technology.
$20.5Min research grant support across the development program.
The solution

From medical image to bone strength test.

Our patented software uses image processing and finite element analysis to convert patient imaging into quantitative measures of local and whole-bone mechanical behavior.

01

Imaging

Routine CT or dedicated MRI data are acquired through standard clinical workflows.

02

Segmentation

Bone anatomy is identified and converted into a patient-specific 3D model.

03

Biomechanics

Finite element analysis estimates stiffness, strength, and local mechanical response.

04

Clinical insight

Results are translated into localized measurements and a patient-specific bone health report.

Finite element strain maps of a vertebra and proximal femur, linked to their anatomical locations on a body outline. The vertebral map includes a color scale from low to high strain.

Imaging-Based Bone Health Assessment

Supporting better osteoporosis management, fracture prevention, and surgical outcomes.

Spine CT finite element analysis showing coronal and sagittal CT views, a compression model, and vertebral modulus distributions from T6 through L5.
Real-time finite element analysis for localized bone strength assessment using routine clinical CT scans. Presented at the ASBMR Annual Meeting, 2026.
Why it is different

Mechanical strength, not just density.

Precision Radiomics is built around validated finite element methods and is designed to work with the imaging infrastructure clinicians already use.

Validated biomechanics

Development has included biomechanical validation across the hip, tibia, and spine, supported by long-term NIH-backed research.

Works with existing imaging

CT analysis can run on routine scans already ordered for clinical care, creating an opportunity for opportunistic bone-strength assessment without an additional CT examination.

Localized + patient-specific

The platform can provide localized mechanical measurements for procedural planning as well as broader patient-specific bone health reporting.

Integration ready

The software is designed around API-first integration, PACS-ready outputs, and potential white-label deployment within existing imaging ecosystems.

CTMRIFinite Element AnalysisBone StrengthClinical Decision Support
Development roadmap

Milestones from validation to clinical translation.

A timeline of technical publications, feasibility studies, validation milestones, clinical applications, software release, intellectual property, and prospective spinal surgery translation.

Graphical timeline of Precision Radiomics development milestones from 2008 to 2026

The development path includes foundational technical publications, validation against micro-CT, finite element solver optimization, hip and tibia studies, first paying customer, software release, patent grant, and a prospective spinal surgery application.

Clinical applications

Built to support decisions across the care pathway.

Potential applications include surgical planning, fracture-risk assessment, opportunistic screening, longitudinal monitoring, and research or life-sciences workflows.

Surgical planning

Quantify local bone mechanical properties that may help inform fixation strategy, implant planning, and assessment of bone quality.

Fracture risk

Move beyond density alone by incorporating patient-specific estimates of biomechanical strength into risk assessment.

Longitudinal assessment

Track changes in bone mechanical competence over time using repeat imaging when clinically appropriate.

Opportunistic screening

Extract additional bone-health information from CT examinations obtained for other clinical indications.

Research & validation

Key Publications

Selected publications on imaging, bone biomechanics, and finite element analysis. Each citation links to its PubMed record.

13 publications
  1. 2026

    Preoperative CT-Based Finite Element Vertebral Modulus Analysis Predicts Bone Quality-Related Complications After Lumbar Spine Fusion.

    Chang G, Rajapakse CS, Philipp TC, Madi R, Sheth NP, Protopsaltis TS.

    Spine (Phila Pa 1976). 2026 Apr 29.

    https://pubmed.ncbi.nlm.nih.gov/42118036/
  2. 2020

    MRI-based assessment of proximal femur strength compared to mechanical testing.

    Rajapakse, C.S., A.R. Farid, D.C. Kargilis, B.C. Jones, J.S. Lee, A.J. Johncola, A.S. Batzdorf, S.S. Shetye, M.W. Hast, and G. Chang.

    Bone, 2020. 133: p. 115227.

    https://pubmed.ncbi.nlm.nih.gov/31926345/
  3. 2018

    Accuracy of MRI-based finite element assessment of distal tibia compared to mechanical testing.

    Rajapakse, C.S., E.A. Kobe, A.S. Batzdorf, M.W. Hast, and F.W. Wehrli.

    Bone, 2018. 108: p. 71-78.

    https://pubmed.ncbi.nlm.nih.gov/29278746/
  4. 2017

    Cost-effectiveness of Virtual Bone Strength Testing in Osteoporosis Screening Programs for Postmenopausal Women in the United States.

    Agten, C.A., A.J. Ramme, S. Kang, S. Honig, and G. Chang.

    Radiology, 2017. 285(2): p. 506-517.

    https://pubmed.ncbi.nlm.nih.gov/28613988/
  5. 2017

    Patient-specific Hip Fracture Strength Assessment with Microstructural MR Imaging-based Finite Element Modeling.

    Rajapakse, C.S., A. Hotca, B.T. Newman, A. Ramme, S. Vira, E.A. Kobe, R. Miller, S. Honig, and G. Chang.

    Radiology, 2017. 283(3): p. 854-861.

    https://pubmed.ncbi.nlm.nih.gov/27918708/
  6. 2015

    Measurement reproducibility of magnetic resonance imaging-based finite element analysis of proximal femur microarchitecture for in vivo assessment of bone strength.

    Chang, G., A. Hotca-Cho, H. Rusinek, S. Honig, A. Mikheev, K. Egol, R.R. Regatte, and C.S. Rajapakse.

    MAGMA, 2015. 28(4): p. 407-12.

    https://pubmed.ncbi.nlm.nih.gov/25487834/
  7. 2014

    Finite element analysis applied to 3-T MR imaging of proximal femur microarchitecture: lower bone strength in patients with fragility fractures compared with control subjects.

    Chang, G., S. Honig, R. Brown, C.M. Deniz, K.A. Egol, J.S. Babb, R.R. Regatte, and C.S. Rajapakse.

    Radiology, 2014. 272(2): p. 464-74.

    https://pubmed.ncbi.nlm.nih.gov/24689884/
  8. 2012

    Computationally-optimized bone mechanical modeling from high-resolution structural images.

    Magland, J.F., N. Zhang, C.S. Rajapakse, and F.W. Wehrli.

    PLoS One, 2012. 7(4): p. e35525.

    https://pubmed.ncbi.nlm.nih.gov/22558164/
  9. 2012

    In vivo estimation of bone stiffness at the distal femur and proximal tibia using ultra-high-field 7-Tesla magnetic resonance imaging and micro-finite element analysis.

    Chang, G., C.S. Rajapakse, J.S. Babb, S.P. Honig, M.P. Recht, and R.R. Regatte.

    J Bone Miner Metab, 2012. 30(2): p. 243-51.

    https://pubmed.ncbi.nlm.nih.gov/22124539/
  10. 2010

    Computational biomechanics of the distal tibia from high-resolution MR and micro-CT images.

    Rajapakse, C.S., J.F. Magland, M.J. Wald, X.S. Liu, X.H. Zhang, X.E. Guo, and F.W. Wehrli.

    Bone, 2010. 47(3): p. 556-63.

    https://pubmed.ncbi.nlm.nih.gov/20685323/
  11. 2010

    Mechanical implications of estrogen supplementation in early postmenopausal women.

    Wehrli, F.W., C.S. Rajapakse, J.F. Magland, and P.J. Snyder.

    J Bone Miner Res, 2010. 25(6): p. 1406-14.

    https://pubmed.ncbi.nlm.nih.gov/20200948/
  12. 2008

    Adaptations in trabecular bone micro-architecture in Olympic athletes determined by 7T MRI.

    Chang G, Pakin S, Schweitzer ME, Saha PK, Regatte RR.

    J Magn Reson Imaging. 2008;27(5):1089-95.

    https://pubmed.ncbi.nlm.nih.gov/18425824/
  13. 2009

    Implications of noise and resolution on mechanical properties of trabecular bone estimated by image-based finite-element analysis.

    Rajapakse, C.S., J. Magland, X.H. Zhang, X.S. Liu, S.L. Wehrli, X.E. Guo, and F.W. Wehrli.

    J Orthop Res, 2009. 27(10): p. 1263-71.

    https://pubmed.ncbi.nlm.nih.gov/19338030/
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Intellectual property

Personalized assessment of bone health using imaging

The patent describes methods and systems that use medical images and computational modeling to estimate how an individual’s bone responds to mechanical loading.

U.S. patent
US 11,202,602 B2
Granted
Application
US 16/208,054
01

Patient imaging

Images acquired in a living patient capture bone microstructure for computational analysis.

02

Mechanical simulation

Loading is simulated in multiple directions, using patient-specific contact geometry derived from anatomical segmentation.

03

Bone health measures

The analysis estimates stiffness, strength, resilience, or toughness under the simulated loading conditions.

Read the full patent Related publications Back to top
Strategic partnerships

Bringing validated biomechanics into the standard of care.

Precision Radiomics is seeking strategic partners for portfolio fit assessment, integration planning, and commercialization discussions.

Contact Precision Radiomics

info@precisionradiomics.com