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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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...
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures.

Daehyun Kim1, Joshua Trzasko, Mikhail Smelyanskiy

  • 1Parallel Computing Lab, Intel Corporation, 2200 Mission College Boulevard Santa Clara, CA 95054, USA.

International Journal of Biomedical Imaging
|September 17, 2011
PubMed
Summary
This summary is machine-generated.

Compressive sensing (CS) accelerates MRI scans by reconstructing images from fewer samples. Optimized architectures on GPUs and Intel Knights Ferry significantly reduce reconstruction times, moving CS closer to clinical use.

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Area of Science:

  • Medical Imaging
  • Signal Processing
  • Computational Science

Background:

  • Compressive sensing (CS) enables MRI reconstruction from fewer samples than Nyquist criterion requires.
  • Shorter MRI scan times are desirable for clinical practice.
  • Current CS reconstruction algorithms are computationally intensive, limiting clinical adoption.

Purpose of the Study:

  • Investigate the impact of different hardware architectures on CS MRI reconstruction.
  • Assess the feasibility of accelerating CS algorithms on modern computing platforms.
  • Determine the potential for clinical viability of CS in MRI.

Main Methods:

  • Implemented a CUDA-based CS algorithm for 3D MRI reconstruction.
  • Evaluated performance on an NVIDIA Tesla C2050 GPU.
  • Tested performance on Intel's Knights Ferry platform.

Main Results:

  • Achieved a 3D MRI reconstruction (256 × 160 × 80, 8-channel) in 19 seconds using a CUDA-based GPU.
  • Demonstrated a faster reconstruction time of 12 seconds on Intel's Knights Ferry.
  • Showcased significant acceleration compared to existing state-of-the-art CS methods.

Conclusions:

  • Throughput-oriented architectures offer substantial acceleration for CS MRI reconstruction.
  • GPU and Intel Knights Ferry platforms show promise for reducing CS reconstruction times.
  • Accelerated CS MRI holds potential for increased clinical applicability.