Literature DB >> 15175930

Interactive image enhancement of CR and DR images.

Maikael A Thomas1, Alan H Rowberg, Steve G Langer, Yongmin Kim.   

Abstract

There is continual pressure on the radiology department to increase its productivity. Two important links to productivity in the computed/digital radiography (CR/DR) workflow chain are the postprocessing step by technologists and the primary diagnosis step by radiologists, who may apply additional image enhancements to aid them in diagnosis. With the large matrix size of CR and DR images and the computational complexity of these algorithms, it has been challenging to provide interactive image enhancement, particularly on full-resolution images. We have used a new programmable processor as the main computing engine of enhancement algorithms for CR or DR images. We have mapped these algorithms to the processor, maximally utilizing its architecture. On a 12-bit 2688 x 2688 image, we have achieved the execution time of 465A ms for adaptive unsharp masking, window/level, image rotate, and lookup table operations using a single processor, which represents at least an order of magnitude improvement compared to the response time of current systems. This kind of performance facilitates rapid computation with preset parameter values and/or enables truly interactive QA processing on radiographs by technologists. The fast response time of these algorithms would be especially useful in a real-time radiology setting, where the radiologist's waiting time in performing image enhancements before making diagnosis can be greatly reduced. We believe that the use of these processors for fast CR/DR image computing coupled with the seamless flow of images and patient data will enable the radiology department to achieve higher productivity.

Entities:  

Mesh:

Year:  2004        PMID: 15175930      PMCID: PMC3046609          DOI: 10.1007/s10278-004-1000-z

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


  8 in total

Review 1.  Computer-aided diagnosis in chest radiography: a survey.

Authors:  B van Ginneken; B M ter Haar Romeny; M A Viergever
Journal:  IEEE Trans Med Imaging       Date:  2001-12       Impact factor: 10.048

2.  Work flow redesign: the key to success when using PACS.

Authors:  Eliot Siegel; Bruce Reiner
Journal:  AJR Am J Roentgenol       Date:  2002-03       Impact factor: 3.959

Review 3.  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

4.  Fast adaptive unsharp masking with programmable mediaprocessors.

Authors:  Unmin Bae; Vijay Shamdasani; Ravi Managuli; Yongmin Kim
Journal:  J Digit Imaging       Date:  2003-10-20       Impact factor: 4.056

5.  Fast JPEG 2000 decoder and its use in medical imaging.

Authors:  Anup Agarwal; Alan H Rowberg; Yongmin Kim
Journal:  IEEE Trans Inf Technol Biomed       Date:  2003-09

6.  Technologists' productivity when using PACS: comparison of film-based versus filmless radiography.

Authors:  Bruce I Reiner; Eliot L Siegel
Journal:  AJR Am J Roentgenol       Date:  2002-07       Impact factor: 3.959

7.  The Society for Computer Applications in Radiology. Real-time radiology.

Authors:  B Williamson
Journal:  J Digit Imaging       Date:  1999-02       Impact factor: 4.056

8.  Improved parameters for unsharp mask filtering of digital chest radiographs.

Authors:  M Prokop; C M Schaefer; J W Oestmann; M Galanski
Journal:  Radiology       Date:  1993-05       Impact factor: 11.105

  8 in total

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