Evidence map›Paper›PMID 39018696›Full record

ArticleUltrasonics2024

2D array imaging system for mechanically-steered, forward-viewing ultrasound guidewire.

Adeoye Olomodosi, Stephan Strassle Rojas, Phuong Vu, Brooks D Lindsey

Abstract read
In one paragraph

Article in Ultrasonics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adeoye OlomodosiWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, United States.
Stephan Strassle RojasDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, United States.
Phuong VuWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, United States.
Brooks D LindseyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, United States; Department of Electrical and Computer Engineering, Georgia Institute of Technology, United States. Electronic address: brooks.lindsey@bme.gatech.edu.

Funding

Ultrasound-guided, Robotically Steerable Guidewire for Endovascular InterventionsR01HL144714 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI DESAI, JAYDEV P. · 2019 to 2022
$2.8M
3D Multi-Functional Catheter-Based Imaging of Coronary Lesion Composition, Structure, and Hemodynamics in Intermediate StenosesR01EB031101 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LINDSEY, BROOKS D · 2021 to 2024
$2.5M
NHLBI NIH HHS R01 HL144714NIBIB NIH HHS R01 EB031101
6 · The paper itself

Abstract

Approximately 4 million people with peripheral artery disease (PAD) present with critical limb ischemia each year, requiring urgent revascularization to avoid loss of limb. Minimally-invasive (i.e. endovascular) revascularization is preferable due to increased recovery time and increased risk of complications associated with open surgery. However, 40% of people with PAD also have chronic total occlusions (CTOs), resulting in > 20% of revascularization procedures failing when CTOs are present. A steerable robotic guidewire with integrated forward-viewing imaging capabilities would allow the guidewire to navigate through tortuous vasculature and facilitate crossing CTOs in revascularization procedures that currently fail due to inability to route the guidewire. The robotic steering capabilities of the guidewire can be leveraged for 3D synthetic aperture imaging with a simplified, low element count, forward-viewing 2D array on the tip of the mechanically-steered guidewire. Images can then be formed using a hybrid beamforming approach, with focal delays calculated for each element on the tip of the guidewire and for each physical location to which the robotically-steered guidewire is steered. Unlike synthetic aperture imaging with a steerable guidewire having only a single element transducer, an array with even a small number of elements can allow estimation of blood flow and physiological motion in vivo. A miniature, low element count 2D array transducer with 9 total elements (3 × 3) having total dimensions of 1.5 mm × 1.5 mm was designed to operate at 17 MHz. A proof-of-concept 2D array transducer was fabricated and characterized acoustically. The developed array was then used to image a wire target, a peripheral stent, and an ex vivo porcine iliac artery. Images were formed using the described synthetic aperture beamforming strategy. Acoustic characterization showed a mean resonance frequency of 17.6 MHz and a -6 dB bandwidth of 35%. Lateral and axial resolution were 0.271 mm and 0.122 mm, respectively, and an increase in SNR of 4.8 dB was observed for the 2D array relative to the single element case. The first 2D array imaging system utilizing both mechanical and electronic steering for guidewire-based imaging was developed and demonstrated. A 2D array imaging system operating on the tip of the mechanically-steered guidewire provides improved frame rate and increases field of view relative to a single element transducer. Finally, 2D array and single element imaging were compared for introduced motion errors, with the 2D array providing a 46.1% increase in SNR, and 58.5% and 17.3% improvement in lateral and axial resolution, respectively, relative to single element guidewire imaging.

Indexed as

Equipment DesignAnimalsEndovascular ProceduresImaging, Three-DimensionalPeripheral Arterial DiseasePhantoms, ImagingUltrasonography, InterventionalChronic total occlusionForward-viewingInterventional 2D arrayRobotically-steered guidewireSynthetic aperture

Identifiers

PMID39018696
PMCPMC11298298

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.