Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

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 Tomography

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...

Positron Emission Tomography

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...

Electron Microscope Tomography and Single-particle Reconstruction

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...

You might also read

Related Articles

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

Sort by

Same author

Analysis of cortical morphometric variability using labeled cortical distance maps.

Statistics and its interface·2023

Same author

Report on the 8th Congress of the International Society of the History of Medicine, Rome, 1930.

Annals of medical history·2021

Same author

Caligula: Or History's Debt to Syphilis.

Annals of medical history·2021

Same author

The Doctor as Diplomat.

Annals of medical history·2021

Same author

Isomer-selected ion-molecule reactions of acetylene cations with propyne and allene.

Physical chemistry chemical physics : PCCP·2020

Same author

Mechanical Dentistry.

The American journal of dental science·2019

Search research articles

Related Experiment Video

Updated: Jul 8, 2026

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

3-D maximum a posteriori estimation for single photon emission computed tomography on massively-parallel computers.

M I Miller¹, C S Butler

¹Dept. of Electr. Eng., Washington Univ., St. Louis, MO.

IEEE Transactions on Medical Imaging

|January 1, 1993

Summary

A fully three-dimensional (3-D) maximum a posteriori (MAP) method for single photon emission computed tomography (SPECT) significantly improves resolution over 2-D methods. This 3-D SPECT reconstruction was efficiently implemented on massively parallel processors.

More Related Videos

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner

Published on: June 7, 2024

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Related Experiment Videos

Last Updated: Jul 8, 2026

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner

Published on: June 7, 2024

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Area of Science:

Medical Imaging
Computational Science

Background:

Single photon emission computed tomography (SPECT) is a crucial medical imaging technique.
Iterative reconstruction algorithms, like maximum a posteriori (MAP) and expectation-maximization (EM), are vital for SPECT image quality.
Previous 2-D implementations of these algorithms are computationally intensive.

Purpose of the Study:

To demonstrate a fully three-dimensional (3-D) implementation of the MAP method for SPECT.
To evaluate the resolution improvements of 3-D SPECT reconstruction compared to 2-D methods.
To address the computational complexity of 3-D SPECT reconstruction through parallel processing.

Main Methods:

Developed a 3-D maximum a posteriori (MAP) iterative reconstruction algorithm for SPECT.
Extended previous 2-D algorithm work to a 3-D implementation.
Utilized a massively parallel processor (MasPar/DECmpp-Sx) for computational acceleration.

Main Results:

The 3-D SPECT reconstruction demonstrated a significant increase in resolution compared to separate 2-D slice reconstructions.
The 3-D MAP algorithm was successfully implemented and executed on a 16000- (4000-) processor MasPar/DECmpp-Sx machine.
Execution times of 2.5 (7.8) seconds per EM-iteration were achieved for a 64x64x64 data cube.

Conclusions:

A fully 3-D MAP reconstruction for SPECT offers superior resolution.
Massively parallel processing is an effective strategy to manage the computational demands of 3-D SPECT algorithms.
This approach enables efficient high-resolution 3-D SPECT imaging.