Internet-Based Distributed Quantitative 4D Analysis of Aortic MR/MDCT Images

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$684,889.00
Award Year:
2013
Program:
STTR
Phase:
Phase II
Contract:
4R42HL108469-02
Agency Tracking Number:
R42HL108469
Solicitation Year:
2013
Solicitation Topic Code:
NHLBI
Solicitation Number:
PA11-097
Small Business Information
MEDICAL IMAGING APPLICATIONS, LLC
832 FOREST HILL DR, CORALVILLE, IA, 52241-
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
127922404
Principal Investigator:
XIANGMIN ZHANG
(319) 358-1529
SAMANTHA@MIA-LLC.COM
Business Contact:
MILAN SONKA
(319) 358-1529
milan@mia-llc.com
Research Institution:
UNIVERSITY OF IOWA

UNIVERSITY OF IOWA
IOWA CITY, IA, 52242-
() -
Nonprofit college or university
Abstract
Aortic aneurysms and dissections are a cause of frequently preventable death for over 13,000 people annually in the US alone. Many more patients live under a constant threat of a catastrophic aortic event from atheroscle- rotic or congenital causes. Therefore, early and comprehensive diagnosis of morphological or dynamic changes in the aorta is of great importance. This STTR proposal extends and transfers the technology for quantitative assessment of 3D and 4D aortic image data from MR and MDCT, the resultsof recent NIH-funded research at the University of Iowa, to clinical applicability. No such analyses are currently commercially available for either assessment of connective tissue disorders using MR nor for MDCT-based assessment of atherosclerosis. The proposed project will allow Internet-enabled highly-automated quantitative 4D analysis of the entire aorta from MR/MDCT images for the entire aortic length between the aortic valve and the diaphragm. The following specific aims will be completed in Phase I:Aim 1: Demonstrate the technology transfer feasibility of University of Iowa's basic-research methods for aortic MR and MDCT segmentation and quantitative analysis in 3D and 4D. Build functional comp- onents and specify their interfaces, thus establishing the prerequisites for modularization in Phase II. Aim 2: Develop a 4D segmentation method for lumen and wall of the atherosclerotic thoracic aorta from MDCT by significantly extending our enabling technology, and demonstrate its feasibility. Aim 3: Develop novel indices for MR- and MDCT-based aorta assessment, and new metrics to quantify congenital-disease progression and the effectiveness of surgery or therapy. and in Phase II: Aim 4: Translate the Phase I methods for segmentation of the thoracic aorta from MR and MDCT and quantitative analysis in 3D and 4D to a modular distributed multi-platform processing environment. Aim 5: Develop a distributed prototype of a modular aortic image analysis system, adding communication, payment mechanisms, and security modules as the basis for commercialization. Aim 6: Validate and show the clinical utility of the prototype by (a) full 4D validation using 130 MR/MDCT datasets, (b) extensive testing of performance and ergonomics of the overall system in various deployment scenarios, and (c) design of a patient report and evaluation of its suitability for clinical decision making. As a result, a fully-functional prototype of a distributed Internet-based aortic quantitative image analysis system will be developed and ready for commercialization in the subsequent Phase III. PUBLIC HEALTH RELEVANCE Aortic aneurysms and dissections are a cause of frequently preventable death for over 13,000 people annually in the US alone. Many more patients live under a constant threat of a catastrophic aortic event. Early diagnosis of connective tissue disorders and atherosclerosis, objective monitoring of disease status, and contributing to accurate prediction of disease progression are thus of great importance. Theproposed project will allow distributed Internet- enabled highly-automated quantitative 4D (3D+time) analysis of the entire aorta between the aortic valve and the diaphragm and will thus contribute to objective diagnosis and disease monitoring in patientswith congenital or atheriosclerotic conditions affecting their aortas.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government