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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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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...
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Positron Emission Tomography01:29

Positron Emission Tomography

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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.
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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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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...
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Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

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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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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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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
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Related Experiment Video

Updated: Sep 24, 2025

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
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Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

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Tofu: a fast, versatile and user-friendly image processing toolkit for computed tomography.

Tomáš Faragó1, Sergey Gasilov2, Iain Emslie2

  • 1Institute for Photon Science and Synchrotron Radiation, Karlsruhe Institute of Technology (KIT), Herrmann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.

Journal of Synchrotron Radiation
|May 5, 2022
PubMed
Summary
This summary is machine-generated.

Tofu is an open-source toolkit for efficient image processing and tomographic reconstruction. It leverages GPU acceleration for high-performance 3D reconstruction, making advanced computed tomography accessible to researchers.

Keywords:
3D reconstructionGPU computingartifact removalbatch processingcone beamlaminographyparallel beamphase retrievaltomographyuser interfacevisual programming

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Area of Science:

  • Scientific Imaging
  • Computational Science
  • Image Processing

Background:

  • Complex image processing and 3D reconstruction tasks require specialized tools.
  • Existing solutions may lack efficiency, accessibility, or flexibility for diverse research needs.

Purpose of the Study:

  • To introduce Tofu, an open-source toolkit designed for efficient image processing and tomographic reconstruction.
  • To provide a versatile and accessible solution for researchers, from experts to those with limited programming knowledge.

Main Methods:

  • Tofu organizes image processing into workflows of individual steps.
  • It supports parallel and cone beam, tomographic, and laminographic geometries.
  • The toolkit incorporates pre- and post-processing algorithms (e.g., phase retrieval, ring removal, de-noising).
  • Optimized for GPU workstations, Tofu automatically utilizes system GPUs for high-performance reconstruction.
  • Graphical user interfaces (GUIs) are included for parameter optimization and batch processing.

Main Results:

  • Tofu achieves reconstruction speeds comparable to CPU clusters on stand-alone GPU workstations.
  • It generates optimized 3D reconstruction code tailored to input geometry.
  • The toolkit offers enhanced accessibility through GUIs for users with varying programming expertise.
  • Tofu is suitable for both expert users with custom scanner data and end-users needing straightforward reconstruction.

Conclusions:

  • Tofu provides a powerful, efficient, and accessible solution for a wide range of tomographic reconstruction needs.
  • Its GPU optimization and user-friendly interfaces broaden the applicability of advanced image processing in research.
  • The open-source nature and comprehensive documentation support both development and end-user adoption.