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Related Experiment Video

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Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens
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Detecting High-Resolution Intramural Vascular Wall Strain Signals Using DICOM Data.

William F Weitzel1,2, Brian J Thelen1,3,4, Nirmala Rajaram1,5

  • 1From the Research Service, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.

ASAIO Journal (American Society for Artificial Internal Organs : 1992)
|May 28, 2021
PubMed
Summary

High-resolution ultrasound strain imaging can now be performed using widely accessible B-mode data, improving diagnosis for end-stage renal disease (ESRD) patients. This advancement allows for better monitoring of dialysis vascular access without needing specialized radiofrequency data.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Nephrology

Background:

  • Maintaining dialysis vascular access is critical for end-stage renal disease (ESRD) patients, yet it presents significant morbidity challenges.
  • High-resolution radiofrequency (RF) ultrasound vascular strain imaging shows promise for diagnosing and managing vascular access complications.
  • Access to high-resolution RF data is limited for routine clinical use.

Purpose of the Study:

  • To investigate the feasibility of detecting high-resolution vascular strain signals using readily available, open-source B-mode ultrasound data.
  • To assess if submillimeter tracking resolutions can be achieved with B-mode data for strain imaging.
  • To compare strain detection using B-mode data against overall vascular distensibility measurements.

Main Methods:

  • Experiments were conducted to detect wall strain signals with tracking resolutions from 0.2 mm to 0.65 mm using DICOM-formatted B-mode ultrasound data.
  • Submillimeter tracking results were compared to vascular distensibility as a reference standard.
  • The correlation between detected strain signals and reference measurements was quantified using the coefficient of determination (p < 0.05).

Main Results:

  • High-resolution strain signals were successfully detected within the vessel wall using standard B-mode DICOM data.
  • Tracking resolutions ranged from 0.2 mm (3 pixels) to 0.65 mm (10 pixels).
  • The percentage of strain waveforms exhibiting significant correlation (p < 0.05) with reference measurements was high, with most exceeding 90%.

Conclusions:

  • It is possible to detect high-resolution vascular strain signals using accessible B-mode ultrasound data.
  • This approach broadens the potential investigation and clinical application of ultrasound strain imaging for vascular access.
  • The findings suggest B-mode data can support advanced imaging techniques for improved patient management in ESRD.