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A Robust Algorithm for Thickness Computation at Low Resolution and Its Application to In Vivo Trabecular Bone CT Imaging
  • Yinxiao Liu, D. Jin, +5 authors P. Saha
  • Medicine, Computer Science
    IEEE Transactions on Biomedical Engineering
  • 25 March 2014
A new robust algorithm for computing trabecular bone thickness and marrow spacing at a low resolution achievable in vivo is presented, which is significantly more accurate and robust as compared to conventional methods.
Performance of the MRI-based virtual bone biopsy in the distal radius: serial reproducibility and reliability of structural and mechanical parameters in women representative of osteoporosis study
The data suggest that the MRI-based virtual bone biopsy method is suited for longitudinal assessment of the response to therapy, and should be compatible with all general-purpose MRI scanners, which is appealing considering the very large installed base of this modality.
Characterization of trabecular bone plate-rod microarchitecture using multirow detector CT and the tensor scale: Algorithms, validation, and applications to pilot human studies.
Tensor scale analysis of MD-CT images yields accurate and reproducible characterization of TB plate-rod microarchitecture that may be more sensitive than DXA-derived BMD to sex differences and to the skeletal changes associated with medical conditions or their treatments.
Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation
Both qualitative and quantitative results on prostate and bladder segmentation were promising, proving the power of the algorithm.
A framework for automatic, accurate, and fast 2-D+T/3-D registration applied to trans-catheter aortic valve implantation (TAVI) procedures
This paper extends the above method to register the 3-D model to a sequence of angiographic images that can be used for dynamic 2-D/3-D fusion and fully explore the pseudo-cyclic property of the aortic motion.
Application of fuzzy skeletonization ot quantitatively assess trabecular bone micro-architecture
An algorithm for fuzzy skeletonization is presented using fuzzy grassfire propagation and a branch-level noise pruning strategy and its application to TB micro-architectural assessment is investigated and the effectiveness of these measures to predict experimental bone strength is investigated.
Fuzzy Object Skeletonization: Theory, Algorithms, and Applications
A new theory and algorithm of skeletonization for fuzzy objects, evaluates its performance, and demonstrates its applications, as well as comparing it with two binary object skeletonization methods.
7 Tesla MRI of bone microarchitecture discriminates between women without and with fragility fractures who do not differ by bone mineral density
7 T MRI can detect bone microarchitectural deterioration in women with fragility fractures who do not differ by BMD, and might some day be used as an additional tool to detect patients with poor bone quality who cannot be detected by dual-energy X-ray absorptiometry (DXA).
A new multi-object image thresholding method based on correlation between object class uncertainty and intensity gradient.
A new method that simultaneously optimizes both threshold and gradient values for different object interfaces in an image that is based on unification of information from both the histogram and spatial image features is presented and the results found are better as compared to several popular automatic threshold selection methods.
Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging
Experimental results have demonstrated that the t-scale-based TB micro-architectural measures are highly reproducible with strong association of their values at MD-CT and micro-CT resolutions and an experimental mechanical study has proved these measures' ability to predict TB's bone strength.