Ultrasound Imaging of Blood Flow Provides New Clues into Cardiac Abnormalities, Dysfunction
By MedImaging International staff writers Posted on 12 Jun 2012 |
US cardiologists are innovating new ultrasound techniques that provide the first characterization of multidirectional blood flow in the heart. By concentrating on fluid dynamics--specifically, the researchers believe they can detect heart disease even when conventional diagnostics reveal no sign of abnormality.
In addition to improving diagnoses, this move in focus from muscle mechanics to fluid mechanics could lead to more effective therapeutic interventions. The study’s findings were published by two Mount Sinai School of Medicine (New York, NY, USA) cardiologists and a team of international collaborators in a recent issue of JACC Cardiovascular Imaging, a journal of the American College of Cardiology.
The ultrasound strategies cardiologists employ today frequently cannot identify changes in the heart until there is overt dysfunction. Blood flow imaging, however, may provide better clues in diagnosing heart failure. Sinai investigators reason that flow should be immediately affected by changes in cardiac function--such as those revealed in image analysis by the chaotic behavior of tiny whirlpools.
The computer-aided visual study of these abnormalities could dramatically improve the assessment of patients with heart failure and lead to a fresh understanding of normal and abnormal pumping and circulatory function. Visual blood-flow analysis could also yield improved therapies for arrhythmias and other disorders requiring cardiac synchronization. Researchers are actively exploring applications in aortic atherosclerosis, before and after valve replacement, and congenital abnormalities.
“With visualization, we are looking at the ultimate measure of the efficiency of the heart - how the blood is brought in and how it is sent out,” said Jagat Narula, MD, PhD, director of cardiovascular imaging at Mount Sinai and the senior author of the paper. “Today, cardiologists place great weight on a gauge called the squeeze fraction, or ejection fraction--the portion of blood pumped from the ventricle with each heartbeat. What we are doing is a complete departure from the view of the heart as a squeezing, pressure-generating chamber.”
Mount Sinai researchers and their collaborators have experimented with a range of imaging techniques to grasp the characteristics of normal and abnormal blood flow. The approaches include phase-encoded MRI, cardiac magnetic resonance (CMR) and several forms of ultrasound-based imaging known as echocardiographic particle imaging velocimetry.
“The most effective technique involves injecting a stream of bubbles that behave exactly like red blood cells and using echocardiography to track their path through the left ventricle,” said Partho Sengupta, MD, director of cardiac ultrasound research at Mount Sinai, and the first author, with Narula, of the JACC article. In these studies, the computer-enhanced video output portrays normal and turbulent flow in vivid detail, with arrows plotting the direction as the bubbles swirl through the heart chamber.
“Not only are you following the path of the blood, but you can actually identify the amount of energy that is being distributed,” said Dr. Sengupta. “Like other forms of ultrasound, that means low-cost heart tests using this technology could be performed on a simple outpatient basis.”
The echocardiography technology pioneered by Drs. Sengupta and Narula sheds light on diagnostic discrepancies that have puzzled cardiologists relying on pressure measurements. “After sustaining significant damage, a patient's heart may not have the greatest squeeze, but there could be good trafficking of blood through the heart and the patient could remain asymptomatic,” Dr. Sengupta explained. “The normal ejection fraction is around 60%, but we sometimes see a patient with 20% walking around and playing golf. Other people who are at 50% may be short of breath. Flow visualization is one way to capture the essence of why the patient is or is not symptomatic.”
Diagnosing cardiac disease by searching for structural defects in the heart is similar to analyzing highway traffic by examining the road, Dr. Narula said. “The structure may not be great, but how does that affect the cars that are actually traveling on the road? It’s the same thing if you fail to look at the blood.”
Similarly, a plumber’s search into pipes only matters or makes sense in relation to how the water flows, noted Dr. Sengupta. A new study these investigators hones in on specific correlations between blood flow and cardiac pathology. “We will be able to demonstrate that efficiency may be lost even though the structure is maintained,” said Dr. Senguptra. “In other words, the façade is good, but inside, you have lost it.”
Dr. Sengupta stressed that the combined visualization and computation techniques in the study are still new and require additional study, including development of appropriate flow-based indexes for applications in various cardiac disorders. Forces acting on flow are extremely complicated and dynamic, according to the researchers. Pumped by the heart at a rate of 3,785-7,571 cm3 per minute, blood interacts with the contours of the valves, myocardium, vessels, and other areas, which are also in motion. The flow is multidirectional--curling, spinning, and forming eddies that are affected in innumerable ways by structural changes in heart tissue. As with any new observational techniques, data from novel cardiac visualizations in complex environments are subject to interpretation.
“We have started using these imaging techniques in clinical trials,” Dr. Narula said. “They will require careful evaluation.”
Related Links:
Mount Sinai School of Medicine
In addition to improving diagnoses, this move in focus from muscle mechanics to fluid mechanics could lead to more effective therapeutic interventions. The study’s findings were published by two Mount Sinai School of Medicine (New York, NY, USA) cardiologists and a team of international collaborators in a recent issue of JACC Cardiovascular Imaging, a journal of the American College of Cardiology.
The ultrasound strategies cardiologists employ today frequently cannot identify changes in the heart until there is overt dysfunction. Blood flow imaging, however, may provide better clues in diagnosing heart failure. Sinai investigators reason that flow should be immediately affected by changes in cardiac function--such as those revealed in image analysis by the chaotic behavior of tiny whirlpools.
The computer-aided visual study of these abnormalities could dramatically improve the assessment of patients with heart failure and lead to a fresh understanding of normal and abnormal pumping and circulatory function. Visual blood-flow analysis could also yield improved therapies for arrhythmias and other disorders requiring cardiac synchronization. Researchers are actively exploring applications in aortic atherosclerosis, before and after valve replacement, and congenital abnormalities.
“With visualization, we are looking at the ultimate measure of the efficiency of the heart - how the blood is brought in and how it is sent out,” said Jagat Narula, MD, PhD, director of cardiovascular imaging at Mount Sinai and the senior author of the paper. “Today, cardiologists place great weight on a gauge called the squeeze fraction, or ejection fraction--the portion of blood pumped from the ventricle with each heartbeat. What we are doing is a complete departure from the view of the heart as a squeezing, pressure-generating chamber.”
Mount Sinai researchers and their collaborators have experimented with a range of imaging techniques to grasp the characteristics of normal and abnormal blood flow. The approaches include phase-encoded MRI, cardiac magnetic resonance (CMR) and several forms of ultrasound-based imaging known as echocardiographic particle imaging velocimetry.
“The most effective technique involves injecting a stream of bubbles that behave exactly like red blood cells and using echocardiography to track their path through the left ventricle,” said Partho Sengupta, MD, director of cardiac ultrasound research at Mount Sinai, and the first author, with Narula, of the JACC article. In these studies, the computer-enhanced video output portrays normal and turbulent flow in vivid detail, with arrows plotting the direction as the bubbles swirl through the heart chamber.
“Not only are you following the path of the blood, but you can actually identify the amount of energy that is being distributed,” said Dr. Sengupta. “Like other forms of ultrasound, that means low-cost heart tests using this technology could be performed on a simple outpatient basis.”
The echocardiography technology pioneered by Drs. Sengupta and Narula sheds light on diagnostic discrepancies that have puzzled cardiologists relying on pressure measurements. “After sustaining significant damage, a patient's heart may not have the greatest squeeze, but there could be good trafficking of blood through the heart and the patient could remain asymptomatic,” Dr. Sengupta explained. “The normal ejection fraction is around 60%, but we sometimes see a patient with 20% walking around and playing golf. Other people who are at 50% may be short of breath. Flow visualization is one way to capture the essence of why the patient is or is not symptomatic.”
Diagnosing cardiac disease by searching for structural defects in the heart is similar to analyzing highway traffic by examining the road, Dr. Narula said. “The structure may not be great, but how does that affect the cars that are actually traveling on the road? It’s the same thing if you fail to look at the blood.”
Similarly, a plumber’s search into pipes only matters or makes sense in relation to how the water flows, noted Dr. Sengupta. A new study these investigators hones in on specific correlations between blood flow and cardiac pathology. “We will be able to demonstrate that efficiency may be lost even though the structure is maintained,” said Dr. Senguptra. “In other words, the façade is good, but inside, you have lost it.”
Dr. Sengupta stressed that the combined visualization and computation techniques in the study are still new and require additional study, including development of appropriate flow-based indexes for applications in various cardiac disorders. Forces acting on flow are extremely complicated and dynamic, according to the researchers. Pumped by the heart at a rate of 3,785-7,571 cm3 per minute, blood interacts with the contours of the valves, myocardium, vessels, and other areas, which are also in motion. The flow is multidirectional--curling, spinning, and forming eddies that are affected in innumerable ways by structural changes in heart tissue. As with any new observational techniques, data from novel cardiac visualizations in complex environments are subject to interpretation.
“We have started using these imaging techniques in clinical trials,” Dr. Narula said. “They will require careful evaluation.”
Related Links:
Mount Sinai School of Medicine
Latest Ultrasound News
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
- High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
- World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
- Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
- Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
- AI Improves Detection of Congenital Heart Defects on Routine Prenatal Ultrasounds
- AI Diagnoses Lung Diseases from Ultrasound Videos with 96.57% Accuracy
- New Contrast Agent for Ultrasound Imaging Ensures Affordable and Safer Medical Diagnostics
- Ultrasound-Directed Microbubbles Boost Immune Response Against Tumors
- POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits
- AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images
- Automated Breast Ultrasound Provides Alternative to Mammography in Low-Resource Settings
- Transparent Ultrasound Transducer for Photoacoustic and Ultrasound Endoscopy to Improve Diagnostic Accuracy
- Wearable Ultrasound Patch Enables Continuous Blood Pressure Monitoring
- AI Image-Recognition Program Reads Echocardiograms Faster, Cuts Results Wait Time
Channels
Radiography
view channel
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read more
Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
Lung cancer continues to be the leading cause of cancer-related deaths worldwide. While advanced technologies like CT scanners play a crucial role in detecting lung cancer, more accessible and affordable... Read moreMRI
view channel
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more