Literature DB >> 3802789

Performance characteristics of a laser scanner and laser printer system for radiological imaging.

S C Lo, R K Taira, N J Mankovich, H K Huang, H Takeuchi.   

Abstract

This paper describes the performance characteristics of a laser scanner and laser printer system for radiological imaging. The laser scanner can digitize a 14'' X 17'' X-ray film to 2000 X 2400 X 10 bit in about 100 s. The laser printer can format 16 images on a 8'' X 10'' or 14'' X 17'' film with up to 2300 X 3050 X 8 bit resolution in about 50 s. Our experiments show that the laser scanner and the laser printer have a spatial resolution of 3 cycles/mm with excellent spatial linearity and flat field response. This system is a major component of a picture archiving and communication system in a digital-based radiology department. As a stand-alone system, it has certain clinical applications such as a contrast enhancement of radiographs and potential dose reduction to the patient.

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Year:  1986        PMID: 3802789     DOI: 10.1016/0730-4862(86)90003-x

Source DB:  PubMed          Journal:  Comput Radiol        ISSN: 0730-4862


  6 in total

Review 1.  Literature review: picture archiving and communication system.

Authors:  U P Schmiedl; A H Rowberg
Journal:  J Digit Imaging       Date:  1990-11       Impact factor: 4.056

2.  Contrast information of digital imaging in laser film digitizer and display monitor.

Authors:  S C Lo; J W Gaskill; S K Mun; B H Krasner
Journal:  J Digit Imaging       Date:  1990-05       Impact factor: 4.056

3.  Quality assurance of picture archiving communication systems with laser film digitizers.

Authors:  P D Esser; E J Halpern; E S Amis
Journal:  J Digit Imaging       Date:  1991-11       Impact factor: 4.056

4.  An improved phantom for quality control of laser scanner digitizers in picture archival and communications systems.

Authors:  E J Halpern; P D Esser
Journal:  J Digit Imaging       Date:  1991-11       Impact factor: 4.056

Review 5.  Teleradiology/telepathology requirements and implementation.

Authors:  S K Mun; A M Elsayed; W G Tohme; Y C Wu
Journal:  J Med Syst       Date:  1995-04       Impact factor: 4.460

6.  Automatic lung nodule detection using profile matching and back-propagation neural network techniques.

Authors:  S C Lo; M T Freedman; J S Lin; S K Mun
Journal:  J Digit Imaging       Date:  1993-02       Impact factor: 4.056

  6 in total

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