Evidence map›Paper›PMID 38833386›Full record

ArticleIEEE transactions on biomedical circuits and systems2025

A 1.11 mm

Xitie Zhang, Evren F Arkan, Coskun Tekes, M Sait Kilinc, Tzu-Han Wang, F Levent Degertekin, Shaolan Li

Abstract read
In one paragraph

Article in IEEE transactions on biomedical circuits and systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Xitie Zhang
Evren F Arkan
Coskun Tekes
M Sait Kilinc
Tzu-Han Wang
F Levent Degertekin
Shaolan Li

Funding

Space-Time Compressed Sampling Techniques for Integrated Ultrasound Imaging System-on-a-ChipR21EB034991 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LI, SHAOLAN · 2023 to 2025
$584k
NIBIB NIH HHS R21 EB034991
6 · The paper itself

Abstract

Intravascular ultrasound (IVUS) imaging catheters are significant tools for cardiovascular interventions, and their use can be expanded by realizing IVUS imaging guidewires and microcatheters. The miniaturization of these devices creates challenges in SNR due to the need for higher frequencies to provide adequate resolution. An integrated IVUS system with transmit beamforming can mitigate these limitations. This work presents the first practical highly integrated system-on-a-chip (SoC) with plane wave transmit beamforming at 40 MHz for IVUS on guidewire or microcatheters. The front-end circuitry has a 20-channel ultrasound transmitter (Tx) and receiver (Rx) array interfaced with a capacitive micromachined ultrasound transducer (CMUT) array. During each firing, all 20 Tx are excited with the same analog delay with respect to each other, which can be continuously adjusted between 0 and 10 ns in two directions, generating a steerable plane wave in a range of +/-50 for a phased array at 40 MHz. The unit delays are generated via a voltage-controlled delay line (VCDL), which only needs two external controls, one tuning the unit delay and the other determining the steering direction. The SoC is fabricated using a 180-nm high-voltage (HV) CMOS process and features a slender active area of 0.3 mm 3.7 mm. The proposed SoC consumes 31.3 mW during the receiving mode. The beamformer's functionality and the SoC's overall performance were validated through acoustic characterization and imaging experiments.

Indexed as

Image Processing, Computer-AssistedSignal Processing, Computer-AssistedUltrasonography, InterventionalEquipment DesignHumansPhantoms, ImagingTransducers

Identifiers

PMID38833386
PMCPMC12151701

What OpenQuestion 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 OpenQuestion graph.