Related Experiment Video

Updated: Jun 10, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

The usefulness of parametric mapping in a patient with juvenile systemic sclerosis

Hideharu Oka1, Masayuki Sato1, Keita Ito1

  • 1Department of Pediatrics, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.

Pediatrics International : Official Journal of the Japan Pediatric Society
|October 7, 2024
PubMed
Abstract

No abstract available in PubMed .

Keywords:
cardiac magnetic resonance imagingjuvenile systemic sclerosismyocardial fibrosisparametric mapping

More Related Videos

Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy09:18

Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy

Published on: January 12, 2019

10.3K
Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease04:44

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Published on: June 16, 2020

19.8K

Related Concept Videos

Parametric Surfaces01:30

Parametric Surfaces

A parametric surface in three-dimensional space is defined through a vector-valued function\begin{equation*}\mathbf{r}(u, v) = x(u, v)\mathbf{i} + y(u, v)\mathbf{j} + z(u, v)\mathbf{k}\end{equation*}where u and v are parameters within a specified domain D in the uv-plane. The functions x(u, v), y(u, v), and z(u, v) define the coordinates of points on the surface. As u and v vary over D, the position vector r(u, v) traces a continuous surface in space. This parametric representation is essential...