Development of open-source software for free-hand 3D vascular ultrasound: Dialysis fistula application

Author:

Weitzel William F12ORCID,Rajaram Nirmala13ORCID,Zheng Yihao14ORCID,Funes-Lora Miguel Angel5,Hamilton James1,Yessayan Lenar12,Krishnamurthy Venkataramu N16,Henke Peter16,Osborne Nicholas16,Bishop Brandie1,Shih Albert J5,Thelen Brian J178

Affiliation:

1. VA Ann Arbor Healthcare System, Ann Arbor, MI, USA

2. Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA

3. Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA

4. Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

5. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA

6. Departments of Radiology and Surgery, University of Michigan, Ann Arbor, MI, USA

7. Department of Statistics, University of Michigan, Ann Arbor, MI, USA

8. Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI, USA

Abstract

Background: The arteriovenous fistula (AVF) is the preferred vascular access for End Stage Renal Disease, having superior patency and lower infection risks than prosthetic graft and catheter access. When AVF dysfunction or delayed maturation does occur, the gold standard for diagnosis is the fistula angiogram (a.k.a. fistulogram). 3D ultrasound is available for obstetrical and other specialized uses, but it is cost prohibitive and has a field of view that is too small to cover the region of interest for the dialysis fistula application. We sought to develop a point of care 3D solution using freehand 2D ultrasound data acquisition. Methods: We developed open-source software for 3D image reconstruction and projection of an angiogram-like image of the vascular access using a 2D freehand ultrasound scanner. We evaluated this software by comparing the ultrasound “sono-angiogram” images to fistulogram images in five subjects, using visual inspection and by applying the Percent of Exact Match (PEM) as a statistic test. Results: The sono-angiograms showed identifiable characteristics that matched the fistulogram results in all five subjects. The PEM ranged between 42.8% and 77.0%, with Doppler and grayscale ultrasound data, showing complementary advantages and disadvantages when used for sono-angiogram image construction. Motion from freehand ultrasound acquisition was a significant source of mismatch. 3D image generation is a potential advantage with ultrasound data. Conclusions: While further work is needed to improve the accuracy with free hand scanning, fistulogram-like “sono-angiograms” can be generated using point of care 2D ultrasound. Methods such as these may be able to assist in point-of-care diagnosis in the future. The software is open-source, and importantly, the ultrasound data used are non-proprietary and available from any standard ultrasound machine. The simplicity and accessibility of this approach warrant further study.

Funder

United States Office of Veterans Affairs

Publisher

SAGE Publications

Subject

Nephrology,Surgery

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