Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

936
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
936
Ion Channels01:19

Ion Channels

91.4K
The movement of ions like sodium, potassium, and calcium into and out of the cell is essential to maintain the electrochemical gradient in living cells. The ion channels—a class of membrane transport proteins—help maintain this ionic gradient for the smooth functioning of physiological activities such as maintaining cell size and volume, conducting nerve impulses, and gas and nutrient exchange.
Ion channels are specialized integral membrane proteins on the plasma membrane that allow...
91.4K
Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

1.6K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.6K
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

360
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
360
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

419
IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
419
Channel Rhodopsins01:11

Channel Rhodopsins

3.2K
Most organisms use photoreceptors to sense and respond to light. Examples of photoreceptors include bacteriorhodopsins and bacteriophytochromes in some bacteria, phytochromes in plants, and rhodopsins in the photoreceptor cells of the vertebral retina. The light-sensitive property of these receptors is because of the bound chromophores, such as bilin in the phytochromes and retinal in the rhodopsins.
Rhodopsins belong to the family of cell surface proteins called G-protein coupled receptors,...
3.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Neonatal Brain Network Integration Trajectories Predict Neurodevelopment in Congenital Heart Disease.

medRxiv : the preprint server for health sciences·2026
Same author

Environmental Exposures Influence Fetal Brain Growth and Risk of Neonatal Brain Injury in Congenital Heart Disease.

Pediatric cardiology·2026
Same author

Development and First-in-Human Translation of Hyperpolarized [1-<sup>13</sup>C]Alpha-Ketoglutarate MR Spectroscopy in the Brain.

Sensors (Basel, Switzerland)·2026
Same author

Evaluation of treatment response in patients with recurrent grade 4 glioma using hyperpolarized [1-<sup>13</sup>C]pyruvate MRI.

Research square·2026
Same author

Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart disease.

Communications medicine·2026
Same author

Environmental Exposures Influence Fetal Brain Growth and Risk of Neonatal Brain Injury in Congenital Heart Disease.

Research square·2025

Related Experiment Video

Updated: Jan 28, 2026

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents
08:59

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

Published on: April 15, 2016

7.2K

Coil combination methods for multi-channel hyperpolarized 13C imaging data from human studies.

Zihan Zhu1, Xucheng Zhu1, Michael A Ohliger2

  • 1Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, United States.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|March 10, 2019
PubMed
Summary
This summary is machine-generated.

This study compared coil combination methods for hyperpolarized 13C spectroscopy. Singular value decomposition (SVD), RefPeak, and ESPIRiT methods showed superior accuracy and robustness over sum-of-squares (SOS) for multi-channel data.

Keywords:
(13)CCoil combinationDNPHyperpolarizedPyruvate

More Related Videos

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics
08:48

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

7.3K
Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging
11:43

Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging

Published on: December 30, 2016

11.0K

Related Experiment Videos

Last Updated: Jan 28, 2026

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents
08:59

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

Published on: April 15, 2016

7.2K
Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics
08:48

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

7.3K
Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging
11:43

Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging

Published on: December 30, 2016

11.0K

Area of Science:

  • Magnetic Resonance Imaging
  • Spectroscopy
  • Medical Physics

Background:

  • Coil combination methods for human hyperpolarized 13C spectroscopy multi-channel data are underexplored.
  • Accurate coil combination is crucial for quantitative analysis in hyperpolarized 13C MRI.

Purpose of the Study:

  • To implement and evaluate various coil combination techniques for hyperpolarized 13C spectroscopy.
  • To compare the performance of sum-of-squares (SOS), singular value decomposition (SVD), and Roemer methods (RefPeak and ESPIRiT) for multi-channel data.

Main Methods:

  • Numerical simulations were performed to assess coil combination methods.
  • Thermal phantom experiments were conducted to evaluate method performance.
  • Human cancer patient studies were utilized for in-vivo validation.
  • Four coil combination methods were tested: SOS, SVD, Roemer with reference peak (RefPeak), and Roemer with ESPIRiT sensitivity map (ESPIRiT).

Main Results:

  • SVD, RefPeak, and ESPIRiT methods demonstrated enhanced accuracy and robustness compared to the SOS method.
  • The complex pyruvate signal extraction proved to be an effective approximation for coil sensitivity maps.
  • Valuable phase information was preserved in the coil-combined data using the pyruvate signal method.

Conclusions:

  • SVD, RefPeak, and ESPIRiT are superior coil combination methods for hyperpolarized 13C spectroscopy.
  • Utilizing the complex pyruvate signal offers an efficient approach for generating sensitivity maps while retaining essential phase data.