Related Concept Videos
Positron Emission Tomography
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Brain Imaging
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Imaging Studies VII: Vascular Imaging
Imaging Studies II: Positron Emission Tomography and Scintigraphy
Fundamental Principles of PET
Magnetic Resonance Imaging
X-ray Imaging
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and Artificial Intelligence.
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI.
Effects of Lung Expansion on Global and Regional Pulmonary Blood Volume in a Sheep Model of Acute Lung Injury.
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.
MULTI-VIEW CNN FOR TOTAL LUNG VOLUME INFERENCE ON CARDIAC COMPUTED TOMOGRAPHY.
UNSUPERVISED DOMAIN ADAPTION WITH ADVERSARIAL LEARNING (UDAA) FOR EMPHYSEMA SUBTYPING ON CARDIAC CT SCANS: THE MESA STUDY.
Bridging the Gap - Advancing Microfluidics From Laboratory to Point-of-Care.
Review of Current Advances in Ultrasound Computed Tomography for Medical Imaging.
Gas Embolism: Fundamentals, Diagnosis, and Treatment.
Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.
Current Trends in Ultrasound Wearables: Spotlight on System Architecture.
A Perspective on Non-Invasive Blood Pressure Monitoring: Bridging Emerging Principles, Enabling Technologies and Extended Applications.
Related Experiment Video
Updated: May 25, 2026

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging
Published on: March 2, 2015
In the spotlight: biomedical imaging.
1Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA. laine@columbia.edu
This review covers advances in multimodal temporal data analysis, high-field magnetic resonance spectroscopy, computer-aided diagnosis, and cardiac imaging. It highlights new methods for tracking, detection, segmentation, and myocardial strain analysis.
Area of Science:
- Medical Imaging
- Data Analysis
- Biomedical Engineering
Background:
- Multimodal temporal data analysis is crucial for understanding complex biological processes.
- High-field magnetic resonance spectroscopy offers detailed molecular insights.
- Computer-aided diagnosis (CAD) and advanced cardiac imaging are transforming patient care.
Purpose of the Study:
- To review recent research advances in key areas of medical data analysis and imaging.
- To highlight emerging trends and techniques in multimodal temporal data, MR spectroscopy, CAD, and cardiac diagnostics.
Main Methods:
- Review of statistical models for tracking, detection, and segmentation in multimodal temporal imagery.
- Overview of slice selective free induction decay (FID) acquisition for 7 tesla (7T) high-field MR imaging.
- Highlights in comparative validation of computer-aided diagnosis (CAD) algorithms.
- Description of advances in real-time three-dimensional (3-D) echocardiography for myocardial strain analysis.
Main Results:
- Promising statistical models for multimodal temporal image analysis have been identified.
- Slice selective FID acquisition for 7T MR imaging provides a new approach.
- Comparative validation of CAD algorithms shows progress across various applications.
- Real-time 3-D echocardiography enables advanced myocardial strain computation.
Conclusions:
- Significant progress has been made in multimodal temporal data analysis and high-field MR spectroscopy.
- Computer-aided diagnosis and cardiac imaging techniques are rapidly advancing.
- These developments promise improved diagnostic accuracy and patient outcomes in cardiology and beyond.

