Evidence map›Paper›PMID 26275675›Full record

ArticleInternational journal of computer assisted radiology and surgery2015

Five-dimensional ultrasound system for soft tissue visualization.

Nishikant P Deshmukh, Jesus J Caban, Russell H Taylor, Gregory D Hager, Emad M Boctor

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2015. 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. Article
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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

5 authors.

Nishikant P DeshmukhDepartment of Computer Science, The Johns Hopkins University, Baltimore, MD, USA. nishikant@cs.jhu.edu.ORCID http://orcid.org/0000-0002-9717-5290
Jesus J CabanNational Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA.
Russell H TaylorDepartment of Computer Science, The Johns Hopkins University, Baltimore, MD, USA.
Gregory D HagerDepartment of Computer Science, The Johns Hopkins University, Baltimore, MD, USA.
Emad M BoctorDepartment of Computer Science, The Johns Hopkins University, Baltimore, MD, USA.

Funding

Precisely Shaped Acoustic Ablation of Tumors Under 3D Ultrasound Image GuidanceR44CA134169 · NCI · ACOUSTIC MEDSYSTEMS, INC. · PI BURDETTE, EVERETTE C · 2008 to 2011
$3.3M
Ultrasound Ablation on Bone Cancer Under CT FluoroscopyR44CA112852 · NCI · ACOUSTIC MEDSYSTEMS, INC. · PI BURDETTE, EVERETTE C · 2010 to 2012
$3.1M
Ultrasound Ablation of Bone Cancer Under CT FluoroscopyR43CA112852 · NCI · ACOUSTIC MEDSYSTEMS, INC. · PI BURDETTE, EVERETTE C. · 2005 to 2006
$367k
NCI NIH HHS CA112852NCI NIH HHS CA134169
6 · The paper itself

Abstract

purposeA five-dimensional ultrasound (US) system is proposed as a real-time pipeline involving fusion of 3D B-mode data with the 3D ultrasound elastography (USE) data as well as visualization of these fused data and a real-time update capability over time for each consecutive scan. 3D B-mode data assist in visualizing the anatomy of the target organ, and 3D elastography data adds strain information.

methodsWe investigate the feasibility of such a system and show that an end-to-end real-time system, from acquisition to visualization, can be developed. We present a system that consists of (a) a real-time 3D elastography algorithm based on a normalized cross-correlation (NCC) computation on a GPU; (b) real-time 3D B-mode acquisition and network transfer; (c) scan conversion of 3D elastography and B-mode volumes (if acquired by 4D wobbler probe); and (d) visualization software that fuses, visualizes, and updates 3D B-mode and 3D elastography data in real time.

resultsWe achieved a speed improvement of 4.45-fold for the threaded version of the NCC-based 3D USE versus the non-threaded version. The maximum speed was 79 volumes/s for 3D scan conversion. In a phantom, we validated the dimensions of a 2.2-cm-diameter sphere scan-converted to B-mode volume. Also, we validated the 5D US system visualization transfer function and detected 1- and 2-cm spherical objects (phantom lesion). Finally, we applied the system to a phantom consisting of three lesions to delineate the lesions from the surrounding background regions of the phantom.

conclusionA 5D US system is achievable with real-time performance. We can distinguish between hard and soft areas in a phantom using the transfer functions.

Indexed as

AlgorithmsComputer SystemsElasticity Imaging TechniquesFeasibility StudiesHumansImaging, Three-DimensionalPhantoms, ImagingSoftware3D elastography3D scan conversionComputer graphicsElastographyFive-dimensional ultrasound systemGPUMedical imagingOpenGLUltrasoundVisualization

Identifiers

PMID26275675

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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.