Raj Shekhar
Igi Technologies, Inc.
Project start date: 2008-08-07
Project end date: 2014-09-30
Sponsored Links Excellgen http://Excellgen.com
Grants awarded to Raj Shekhar
ADVANCED SOFTWARE FOR ENABLING QUANTITATIVE 3D STRESS ECHOCARDIOGRAPHY
Raj Shekhar
Igi Technologies, Inc., 5904 Meadow Rose, Elkridge, Md 21075
Grant 1R41HL095201-01 from National Heart, Lung, And Blood Institute
Abstract: 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
Keywords: 2-dimensional; 3-D; 3-Dimensional; 3D image; Accelerated Phase; Acceleration; Accuracy of Diagnosis; Adopted; Algorithms; Cardiac; Cardiology; Cardiovascular; Cardiovascular Body System; Cardiovascular Disease (Specialty); Cardiovascular Diseases; Cardiovascular system; Cardiovascular system (all sites); Cause of Death; Clinical; Clinical Research; Clinical Study; Clinical Trials; Clinical Trials, Unspecified; Complex; Computer Programs; Computer software; Consultations; Coronary Arteriosclerosis; Coronary Artery Disease; Coronary Artery Disorder; Coronary Atherosclerosis; Data; Data Set; Dataset; Development; Diagnosis; Diagnosis, Ultrasound; Echocardiogram; Echocardiography; Echocardiography, Stress; Echography; Echotomography; Equipment; Generations; Goals; Health Care Costs; Health Costs; Healthcare Costs; Hour; Image; Image Analyses; Image Analysis; Imagery; Images, 3-D; Ischemic Heart; Ischemic Heart Disease; Ischemic myocardium; Left; Left Ventricles; Left ventricular structure; Legal patent; Life; Measurement; Medical Imaging, Ultrasound; Motion; Muscle, Cardiac; Muscle, Heart; Myocardial; Myocardial Ischemia; Myocardium; Organ System, Cardiovascular; Patents; Patients; Personal Computers; Phase; Physicians; Physiologic; Physiological; Preparation; Procedures; Public Health; ROC Analysis; Reading; Reporting; Research; STTR; Scanning; Small Business Technology Transfer Research; Software; Solutions; Speed; Speed (motion); Stress; Stress Echocardiography; Technology; Testing; Three-Dimensional Image; Time; Transthoracic Echocardiography; Ultrasonic Imaging; Ultrasonogram; Ultrasonography; Ultrasound Test; Ultrasound, Medical; United States; Vascular, Heart; Ventricular; Visualization; base; cardiac muscle; cardiac visualization; cardiovascular disorder; circulatory system; clinical investigation; computer program/software; computerized data processing; data processing; diagnostic accuracy; diagnostic ultrasound; heart ischemia; heart muscle; heart sonography; heart visualization; image evaluation; image registration; imaging; improved; meetings; myocardial ischemia/hypoxia; myocardium ischemia; new diagnostics; next generation diagnostics; novel; novel diagnostics; public health medicine (field); signal processing; sonogram; sonography; sound measurement; tool; two-dimensional; ultrasound; ultrasound imaging; ultrasound scanning
Relevance: 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
Project start date: 2009-09-25
Project end date: 2010-06-30
Budget start date: 25-SEP-2009
Budget end date: 30-JUN-2010
PFA/PA: PA-08-051
1R41HL095201-01 (2009): $99978
DEVELOPMENT OF A LOW-COST HARDWARE ACCELERATOR FOR 3D IMAGE REGISTRATION.
Raj Shekhar
Igi Technologies, Inc., 5904 Meadow Rose, Elkridge, Md 21075
Grant 1R41CA137886-01 from National Cancer Institute
Abstract: Our overall goal is to develop a novel computing solution for automatic and accurate registration (spatial alignment) of three-dimensional (3D) medical images of any modality and any anatomy (rigid or deformable) in 1 minute. Such capability currently does not exist. Existing image registration solutions have limited accuracy and/or limited applicability, preventing wide and routine clinical use. Building on significant prior academic research, we will demonstrate the feasibility of creating the proposed technology in this 1-year STTR Phase I project. After demonstrating feasibility, we will create a fully functional prototype}a compact, relatively low- cost (manufacturing cost ~$20,000) PC board}of hardware-accelerated image registration, with commercialization as the ultimate goal. Image registration is a fundamental need in modern medicine}a need that remains unmet. It is the necessary first step before images with complementary information can be fused, or images taken at different times can be subtracted to quantify anatomic/physiologic changes. Image registration has numerous other applications, including the registration of pre- and intraoperative images in a host of emerging minimally invasive image-guided interventions. Through system-level simulation and performance characterization (our 2 specific aims), we will create a software simulation of the proposed hardware accelerator in Phase I. We will register existing images of the brain, lungs, and abdomen using this functionally identical and similar-speed simulator to show accurate image registration in 1 min or less. Meeting these performance milestones will provide evidence that this clinically viable and multipurpose computing solution can be created and will justify transitioning to Phase II and continued funding. Our proposed low-cost, ultrafast, easy-to-use, and accurate computing solution promises to unlock the full potential of medical image registration. PROJECT HEALTH RELEVANCE Combining 2 or more medical images of different types gives more precise information on a patient´s condition. Comparing images taken at different times helps monitor how a disease is responding to treatment. In either case, image registration (alignment) is the crucial first step. Current image registration methods are slow, complex, and tedious, with limited practical applicability. We propose developing automatic, high-speed, three-dimensional registration capabilities that are applicable to most organs and image types. We will demonstrate the feasibility of creating such a technology in Phase I before its full development planned for Phase II. }
Keywords: 3-D Imaging; 3D image; 3D imaging; Abdomen; Abdominal; Address; Algorithms; Anatomic; Anatomical Sciences; Anatomy; Brain imaging; CAT Scan, X-Ray; CAT scan; CT X Ray; CT scan; Clinical; Complex; Computed Tomography; Computer Programs; Computer software; Computerized Axial Tomography (Computerized Tomography); Computerized Tomography, X-Ray; Condition; Custom; Data Banks; Data Bases; Databank, Electronic; Databanks; Database, Electronic; Databases; Development; Development Plans; Diagnosis; Diagnostic; Disease; Disease Progression; Disease regression; Disorder; EMI scan; Funding; Goals; Hour; Hybrids; Image; Images, 3-D; Imaging, Three-Dimensional; Invasive; Legal patent; Lung; MR Imaging; MR Tomography; MRI; Magnetic Resonance Imaging; Magnetic Resonance Imaging Scan; Medical Imaging; Medical Imaging, Magnetic Resonance / Nuclear Magnetic Resonance; Medical Imaging, Positron Emission Tomography; Medical Imaging, Three Dimensional; Memory; Methods; Modality; Modern Medicine; Monitor; Multimodal Imaging; Multimodality; NMR Imaging; NMR Tomography; Nuclear Magnetic Resonance Imaging; Organ; Output; PET; PET Scan; PET imaging; PETSCAN; PETT; Patents; Patients; Performance; Phase; Physiologic; Physiological; Plans, Development; Positron Emission Tomography Scan; Positron-Emission Tomography; Proton Magnetic Resonance Spectroscopic Imaging; Rad.-PET; Regression; Research; Respiratory System, Lung; STTR; Science of Anatomy; Small Business Technology Transfer Research; Software; Solutions; Speed; Speed (motion); Standards; Standards of Weights and Measures; System; System, LOINC Axis 4; Technology; Therapeutic; Three-Dimensional Image; Three-Dimensional Imaging; Time; Tomodensitometry; Tomography, Xray Computed; Work; X-Ray Computed Tomography; Zeugmatography; anatomy; base; brain visualization; catscan; clinical data repository; clinical data warehouse; commercialization; computed axial tomography; computer program/software; computerized axial tomography; computerized tomography; cost; data repository; day; desire; disease/disorder; image guided intervention; image registration; imaging; intraoperative imaging; novel; prevent; preventing; prototype; pulmonary; relational database; response; simulation; tool; trend
Project start date: 2008-08-07
Project end date: 2010-07-31
Budget start date: 7-AUG-2008
Budget end date: 31-JUL-2010
PFA/PA: PAR-07-161
1R41CA137886-01 (2008): $0
Raj Shekhar
Igi Technologies, Inc.
Project start date: 2008-08-07
Project end date: 2013-12-31