Related Experiment Video
Updated: Feb 10, 2026
08:13
In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
20.2K
Promote quantitative ischemia imaging via myocardial perfusion CT iterative reconstruction with tensor total
Chengwei Gu1,2,3, Dong Zeng1,2,3, Jiahui Lin1,2
1School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, People's Republic of China.
Physics in Medicine and Biology
|May 26, 2018
Summary
This study introduces a new method for myocardial perfusion computed tomography (MPCT) to improve quantitative ischemia detection from low-dose scans. The novel tensor total generalized variation (TTGV) algorithm enhances image quality and diagnostic accuracy.
Area of Science:
- Medical Imaging
- Radiology
- Computational Imaging
Background:
- Myocardial perfusion computed tomography (MPCT) quantitatively detects myocardial ischemia.
- Low-dose MPCT is limited by noise and artifacts, degrading diagnostic accuracy.
- MPCT images exhibit spatial and temporal correlations, representable as tensors.
Purpose of the Study:
- To develop a robust algorithm for high-fidelity quantitative ischemia detection from low-dose MPCT.
- To improve the accuracy and diagnostic utility of MPCT imaging.
Main Methods:
- Proposed a penalized weighted least-squares framework incorporating tensor total generalized variation (TTGV) regularization.
- TTGV regularization leverages spatial and temporal correlations in MPCT data.
- Developed an efficient iterative strategy for objective function optimization.
Main Results:
- The TTGV-based algorithm demonstrated improved accuracy in reconstructing low-dose MPCT images.
- Quantitative differentiation of myocardial ischemia was enhanced.
- Evaluations on phantom and preclinical data confirmed algorithm robustness and efficiency.
Conclusions:
- The proposed TTGV regularization algorithm offers a robust solution for quantitative ischemia assessment in low-dose MPCT.
- This method enhances diagnostic accuracy and reduces radiation exposure in cardiac imaging.
Related Concept Videos
01:14Imaging Studies I: CT and MRI
911
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
911
01:28Imaging Studies for Cardiovascular System V: CT
382
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
382
01:24Inertia Tensor
1.2K
The concept of the inertia tensor is employed to depict the mass distribution and rotational inertia of a solid or rigid object. This tensor is expressed through a three-by-three matrix. Each component within this matrix corresponds to varying moments of inertia about specific axes.
The diagonal components of the inertia tensor matrix represent the moments of inertia concerning the principal axes of the object. These primary axes are defined as the axes where the object experiences the least...
The diagonal components of the inertia tensor matrix represent the moments of inertia concerning the principal axes of the object. These primary axes are defined as the axes where the object experiences the least...
1.2K
01:14What is Variation?
18.6K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.6K
01:30Generalized Anxiety Disorder
735
Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
735
01:22Generalized Hooke's Law
2.8K
The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
2.8K