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Related Concept Videos

Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Finite Element Breast Simulation for Sonography Image Registration.

Dominik Esslinger, Neal Bacher, Philipp Rapp

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    A new Finite Element method allows for improved breast cancer surgery planning by registering ultrasound images with MRI or mammography. This technique aligns patient positioning for enhanced diagnostic accuracy during breast conserving excisions.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Computational Anatomy

    Background:

    • Breast conserving surgery often requires combining information from multiple medical imaging modalities.
    • Sonography is crucial for dense breast tissue and is the only imaging available during surgery.
    • Discrepancies in patient positioning between sonography and other imaging techniques (MRI, mammography) hinder image registration.

    Purpose of the Study:

    • To develop and validate a novel Finite Element (FE) approach for registering sonography images with MRI or mammography.
    • To enable accurate image registration by simulating the transformation of patient positioning from supine with arm at side to supine with ipsilateral arm overhead.

    Main Methods:

    • A Finite Element approach was developed to simulate breast deformation and positional changes.
    • The FE model was used to transform a supine patient position with the arm at the side to a supine position with the ipsilateral arm overhead.
    • The simulation was validated using 3D scanner breast surface data.

    Main Results:

    • The FE approach successfully simulated the transformation between the two patient positions.
    • Validation with 3D surface scans demonstrated a mean surface distance error of 1.57 mm.
    • This method enables the integration of sonography data with MRI and mammography for surgical planning.

    Conclusions:

    • The presented Finite Element method offers a viable solution for sonography image registration in breast cancer surgery.
    • Accurate image registration improves the combination of multi-modal imaging data, aiding in breast conserving excisions.
    • This technique has the potential to enhance surgical precision and patient outcomes in breast cancer treatment.