Literature DB >> 12134213

Patient information extraction in digitized radiography.

Hsien-Huang P Wu1.   

Abstract

Digital imagery is gradually replacing the traditional radiograph with the development of digital radiography and film scanner. This report presents a new method to extract the patient information number (PIN) field automatically from the film-scanned image using image analysis technique. To evaluate the PIN field extraction algorithm, 2 formats of label acquired from 2 different hospitals are tested. Given the available films with no constraints on the way the labels are written and positioned, the correct extraction rates are 73% and 84%, respectively. This extracted PIN information can link with Radiology Information System (RIS) or Hospital Information System (HIS), and the image scanned from the film then can be filed into the database automatically. The efficiency this method offers can simplify greatly the image filing process and improve the user friendliness of the overall image digitization system. Moreover, compared with the bar code reader, it solves the automatic information input problem in a very economical way. The authors believe the success of this technique will benefit the development of the PACS (Picture Archiving and Communication System) and teleradiology.

Entities:  

Mesh:

Year:  2002        PMID: 12134213      PMCID: PMC3452374          DOI: 10.1007/bf03191901

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  6 in total

1.  A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films.

Authors:  S Yu; L Guan
Journal:  IEEE Trans Med Imaging       Date:  2000-02       Impact factor: 10.048

Review 2.  Current status and future advances of digital radiography and PACS.

Authors:  X Cao; H K Huang
Journal:  IEEE Eng Med Biol Mag       Date:  2000 Sep-Oct

3.  Computer-aided diagnosis: a neural-network-based approach to lung nodule detection.

Authors:  M G Penedo; M J Carreira; A Mosquera; D Cabello
Journal:  IEEE Trans Med Imaging       Date:  1998-12       Impact factor: 10.048

4.  A computational approach to edge detection.

Authors:  J Canny
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1986-06       Impact factor: 6.226

5.  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.  Clinical experience with an advanced laser digitizer for cost-effective digital radiography.

Authors:  H MacMahon; X W Xu; K R Hoffmann; M L Giger; H Yoshimura; K Doi; M Carlin; A Kano; L Yao; K Abe
Journal:  Radiographics       Date:  1993-05       Impact factor: 5.333

  6 in total

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