Tomographic Reconstruction: A Nonmathematical Overview
| Autor: | Geoffrey M. Currie, Johnathan Hewis, Stewart C. Bushong |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
Tomographic reconstruction Radiological and Ultrasound Technology medicine.diagnostic_test Image quality Computer science business.industry Computed tomography Industrial computed tomography Iterative reconstruction eye diseases Medical radiation Positron emission tomography medicine Radiology Nuclear Medicine and imaging Medical physics Computer vision sense organs Tomography Artificial intelligence business |
| Zdroj: | Journal of medical imaging and radiation sciences. 46(4) |
| ISSN: | 1876-7982 |
| Popis: | Tomographic reconstruction in single-photon-emission computed tomography (SPECT), positron emission tomography (PET), and computed tomography (CT) aim to reconstruct a three-dimensional object from a finite set of projections. Today, there are a number of approaches to tomographic reconstruction. This article aims to provide a refresher on the principles of tomographic reconstruction in SPECT, PET and CT in a nonmathematical manner. The tomographic reconstruction principles are common to SPECT, PET and CT data. The mathematical basis of analytical and iterative approaches to tomographic reconstruction is complex. This complexity may be prohibitive of a working understanding of reconstruction by medical radiation technologists; more so because of mathematical intimidation than lack of capability. Technologists can, however, develop a working knowledge from the principles and processes of reconstruction and use this understanding for decision making and problem solving. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|