Literature DB >> 18234593

Low Contrast Sensitivity of Radiologic, CT, Nuclear Medicine, and Ultrasound Medical Imaging Systems.

R F Wagner.   

Abstract

The physical sensitivity of a medical imaging system is defined as the square of the output signal-to-noise ratio per unit of radiation to the patient, or the information/radiation ratio. This sensitivity is analyzed at two stages: the radiation detection stage, and the image display stage. The signal-to-noise ratio (SNR) of the detection stage is a physical measure of the statistical quality of the raw detected data in the light of the imaging task to be performed. As such it is independent of any software or image processing algorithms which belong properly to the display stage. The fundamental SNR approach is applied to a wide variety of medical imaging applications and measured SNR values for signal detection at a given radiation exposure level are compared to the optimal values allowed by nature. It is found that the engineering falls short of the natural limitations by an inefficiency of about a factor two for most of the individual radiologic system components, allowing for great savings in the exposure required for a given imaging performance when the entire system is optimized. The display of the detected information is evaluated from the point of view of observer efficiency, the fraction of the displayed information that a human observer actually extracts.

Entities:  

Year:  1983        PMID: 18234593     DOI: 10.1109/TMI.1983.4307624

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  4 in total

1.  Detection performance theory for ultrasound imaging systems.

Authors:  Roger J Zemp; Mark D Parry; Craig K Abbey; Michael F Insana
Journal:  IEEE Trans Med Imaging       Date:  2005-03       Impact factor: 10.048

2.  Observer efficiency in discrimination tasks simulating malignant and benign breast lesions imaged with ultrasound.

Authors:  Craig K Abbey; Roger J Zemp; Jie Liu; Karen K Lindfors; Michael F Insana
Journal:  IEEE Trans Med Imaging       Date:  2006-02       Impact factor: 10.048

3.  Unified snr analysis of medical imaging systems.

Authors:  Robert F Wagner; David G Brown
Journal:  Phys Med Biol       Date:  1985-06       Impact factor: 3.609

4.  Compressive sensing in medical imaging.

Authors:  Christian G Graff; Emil Y Sidky
Journal:  Appl Opt       Date:  2015-03-10       Impact factor: 1.980

  4 in total

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