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

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
R42HL108469
Solicitation Year:
2012
Solicitation Topic Code:
NHLBI
Solicitation Number:
PA11-097
Small Business Information
MEDICAL IMAGING APPLICATIONS, LLC
832 FOREST HILL DR CORALVILLE, IA 52241-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Internet-Based Distributed Quantitative 4D Analysis of Aortic MR/MDCT Images
Agency: HHS
Contract: 1R42HL108469-01A1
Award Amount: $124,454.00
 

Abstract:

DESCRIPTION (provided by applicant): 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 atherosclerotic 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 imagedata from MR and MDCT, the results of recent NIH-funded research at the University of Iowa, to clinical applicability. No such analyses are currently commercially available neither 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 followingspecific aims will be completed in Phase I: 7 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 components and specify their interfaces, thus establishing the prerequisites for modularization in Phase II. 7 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. 7 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: 7 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. 7 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. 7 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 inthe 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. The proposed 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 patients with congenital or atheriosclerotic conditions affecting their aortas.

Principal Investigator:

Xiangmin Zhang
319-358-1529
samantha@mia-llc.com

Business Contact:

Milan Sonka
319-358-1529
milan@mia-llc.com
Small Business Information at Submission:

MEDICAL IMAGING APPLICATIONS, LLC
832 FOREST HILL DR CORALVILLE, IA 52241-

EIN/Tax ID: 142151776
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIVERSITY OF IOWA
UNIVERSITY OF IOWA
IOWA CITY, IA 52242-
Contact: