SBIR/STTR Research Award

Advanced Software for Enabling Quantitative 3D Stress Echocardiography

Award identifier 2b8171e659d78814397096dab27fc62c0ca2b9b3362eec37377fe779ab370b03Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$99,978

Program and phase

STTR · Phase I

Award year

2009

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
IGI TECHNOLOGIES, INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
RJM1EML4MC35
Solicitation number
PHS2009-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Through more than 5 years of research, we have developed a new cardiovascular procedure termed quantitative three-dimensional (3D) stress echocardiography (echo). Because of exceedingly high computational demands, the procedure remains clinically nonviable despite our mature academic research. The objective of this STTR project is to remove the computation bottleneck and thus enable routine use of quantitative 3D stress echo. This new stress procedure overcomes many of the limitations of conventional stress echo by utilizing more powerful real-time 3D (RT3D) ultrasound instead of standard 2-dimensional (2D) ultrasound. The new 3D procedure allows a clinician to make diagnoses through comprehensive visualization of the heart and quantitative data on normal or abnormal left ventricular wall motion. Volumetric data gathered by RT3D ultrasound are the basis for these novel diagnostic capabilities. We have reported previously the ability: to (a) correct for the well-documented problem of misaligned views; (b) visualize any (dynamic) cross-section through the aligned pre- and post-stress data sets interactively on a personal computer; and (c) automatically identify the left ventricular myocardium to compute local, segment-wise measurements. These advanced image analysis algorithms also require up to an hour's execution time. We propose at least a 10-fold acceleration of these novel algorithms (net execution time of 5 min or less) by re- implementing those in graphics processor units (GPUs), which are now widely available and are powerful enough to solve complex computational tasks. Our specific aims for the Phase I project, therefore, are to: (1) develop GPU-accelerated implementation of pre- and post-stress RT3D ultrasound image registration; and (2) develop GPU-accelerated implementation of myocardial segmentation in RT3D ultrasound images. Efficient data processing, a prerequisite for clinical viability, will justify advancing to Phase II, in which we will (1) develop a complete, GPU-based software suite for visualizing and quantitatively interpreting pre- and post-stress RT3D ultrasound images; and (2) conduct multicenter clinical trials. As hundreds of cardiology departments look to adopt RT3D ultrasound, our timely research will accelerate the phasing in of quantitative 3D stress echo and its resulting benefits to millions with CAD. PUBLIC HEALTH: Three-dimensional (3D) acquisition is a new development in ultrasound imaging. We have suggested a new stress procedure based on 3D ultrasound and shown it to be more accurate than the conventional procedure. The new procedure, despite its benefits, remains limited to research. We propose converting our academic research into clinically and commercially viable solutions that will allow us to perform the new 3D stress procedure routinely. Because millions of patients suffer from cardiovascular disease, even a modest 1% increase in diagnostic accuracy by the new procedure could save many lives and reduce health care costs.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

5 SBIR/STTR records share this UEI (2008–2017). Reported award amounts total $4,115,795. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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