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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...
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...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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...
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET

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Hybrid &#181;CT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction.

J I Agulleiro1, F Vázquez, E M Garzón

  • 1Supercomputing and Algorithms Group, Associated Unit CSIC-UAL, University of Almería, 04120 Almería, Spain. JJ.Fernandez@csic.es

Ultramicroscopy
|April 6, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid CPU+GPU approach for faster tomographic reconstruction by utilizing all available computing power. This method efficiently combines central processing units (CPUs) and graphics processing units (GPUs) for enhanced performance.

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Area of Science:

  • Computational imaging
  • High-performance computing in structural biology

Background:

  • Modern computers feature powerful multicore processors (CPUs) and graphics processing units (GPUs).
  • The three-dimensional electron microscopy (3DEM) field increasingly uses high-performance computing (HPC) for software acceleration.
  • Current 3DEM software primarily focuses on either CPU or GPU optimization, not both.

Purpose of the Study:

  • To present a novel hybrid approach combining CPU and GPU resources for tomographic reconstruction.
  • To address the challenge of workload orchestration in heterogeneous computing systems.
  • To reduce processing time in 3DEM image analysis.

Main Methods:

  • Development of a hybrid CPU+GPU co-processing strategy for tomographic reconstruction.
  • Implementation of an on-demand workload distribution system where devices request tasks when idle.
  • Application of the hybrid approach to accelerate 3DEM tomographic reconstruction.

Main Results:

  • The hybrid approach effectively utilizes the combined computational power of CPUs and GPUs.
  • Significant reduction in processing time for tomographic reconstruction tasks.
  • Demonstration of the system's ability to manage heterogeneous computing resources efficiently.

Conclusions:

  • The presented hybrid CPU+GPU co-processing strategy enhances computational efficiency in 3DEM.
  • This approach leverages the full potential of modern heterogeneous computer architectures.
  • The methodology is adaptable for other image processing applications within 3DEM.