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How Will You Need Me, How Will You Read Me, When I'm 64 (or More!)?: Volume Computed Tomographic Scanning and Information Overload in the Emergency Department
- Source :
- Current Problems in Diagnostic Radiology. 39:212-226
- Publication Year :
- 2010
- Publisher :
- Elsevier BV, 2010.
-
Abstract
- Computed tomographic (CT) scanning technology now employs up to 320 detector rows of 0.5-mm width and allows rapid acquisition of isotropic volume datasets over the entire body. Data from a single CT acquisition can be reconstructed into image series that would formerly have required multiple acquisitions. Small isotropic voxels permit scan parameters to be general while reconstruction algorithms remain specific to anatomy. While this results in more efficient operation in the Emergency Department, it necessitates new ways of displaying, interpreting, and archiving the information. Critical decisions include how much of the patient to scan and how to time contrast injections when imaging multiple organs. These choices must be made in light of dose considerations to the patient and the general population of patients. The technical basis of high-density CT scanning is discussed, including detector configurations and reconstruction techniques. Volumetric scanning in the Emergency Department can improve patient care but requires a change of technical habits.
- Subjects :
- Image Series
medicine.medical_specialty
Time Factors
Quality Assurance, Health Care
Decision Making
Population
Contrast Media
Radiation Dosage
computer.software_genre
Computed tomographic
Voxel
Humans
Medicine
Radiology, Nuclear Medicine and imaging
Medical physics
education
education.field_of_study
business.industry
Detector
Emergency department
Information overload
Radiology Information Systems
Radiographic Image Interpretation, Computer-Assisted
Emergency Service, Hospital
Tomography, X-Ray Computed
business
computer
Algorithms
Volume (compression)
Subjects
Details
- ISSN :
- 03630188
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- Current Problems in Diagnostic Radiology
- Accession number :
- edsair.doi.dedup.....39c5eb858e66c6c885da5208b01b64a5
- Full Text :
- https://doi.org/10.1067/j.cpradiol.2009.07.007