• Corpus ID: 14457405

Review of the Effective Image Processing Techniques of Mammograms

  title={Review of the Effective Image Processing Techniques of Mammograms},
  author={Galway and Triona},
X-ray image processing is a computerised system which enhances the amount of detail visible on a digitised x-ray image. The effect of this technique in the diagnosis of breast cancer, where the detection of early malignant tumours is essential for effective treatment, is reviewed in this paper. Mammograms (breast x-rays) are initially enhanced by either increasing the contrast of suspicious areas or by removing background noise. Various mathematical methods are then applied to detect the… 



A Representation for Mammographic Image Processing

Results indicate that image analysis is far more robust when specific consideration is taken of the imaging process and the h(int) representation is used, and this ability to choose features that are robust to breast compression and variations in breast composition is used.

Use of texture analysis and boundary refinement to delineate suspicious masses in mammography

Texture analysis using convolution filters has been proposed as a method for the quantitation of extended objects in mammography. The work reported incorporates additional steps of image processing

Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses.

The incorporation of asymmetric information appears to be useful for computerized identification of possible masses on mammograms through the use of nonlinear bilateral-subtraction and local gray-level thresholding techniques.

On techniques for detecting circumscribed masses in mammograms.

A method for detecting one type of breast tumor, circumscribed masses, in mammograms is presented. It relies on a combination of criteria used by experts, including the shape, brightness contrast,

The automatic computer detection of subtle calcifications in radiographically dense breasts.

Improvements were made to an algorithm in an attempt to improve that algorithm's detection rates for this type of calcification, but the new enhanced algorithm has improved true positive detection rates but still has an unacceptable false negative rate.

Mammographic detectability of breast microcalcifications.

  • E. Sickles
  • Medicine, Physics
    AJR. American journal of roentgenology
  • 1982
Results confirmed previous observations that geometric unsharpness is the limiting factor in microcalcification detectability for most conventional mammography systems and indicated superior microCalcification detection for: xeroradiographic over screen-film recording systems, positive-mode over negative-mode xer oradiography, microfocal spot contact over conventional contact techniques, and microFocal spot magnification over all contact techniques.

Computer-Aided Diagnosis

Detection of Clustered Microcalcifications Using Wavelets.

A novel approach to isolating individual calcifications from background tissue through non-stationary noise reduction, low/hi thresholding, and morphological filtering is demonstrated; this technique reduces the number of false detections by an average of 5 per image.

Effect of case selection on the performance of computer-aided detection schemes.

As a short-term solution, it is recommended that the method used for selecting cases, and histograms or mean and standard deviations of relevant image features be reported whenever performance data are presented.