Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound

Nicholas Gruszauskas; Karen Drukker; Maryellen Lissak Giger

doi:10.1117/12.595664

29 April 2005 Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound

Nicholas Gruszauskas, Karen Drukker, Maryellen Lissak Giger

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595664
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

To be clinically viable, computer-aided diagnosis (CAD) systems must be as automated and user-friendly as possible. CAD systems for breast ultrasound are still preliminary and are not adapted for use in a standard clinical environment. For example, computer detection and classification schemes need the pixel size of each image to operate correctly, and while the DICOM standard allows pixel size to be encoded in the image file, some equipment manufacturers neglect to utilize the encoding. As a result, the pixel size is calculated from user input. In order to increase clinical efficiency and reduce the likelihood of error due to incorrect image specifications, automating this input process is a highly desirable asset. We developed and applied a character recognition algorithm to the annotation region of each ultrasound image in our database. A set of numerical masks, which corresponded to the characters used in the annotation information, enabled the filtering of each image. Numerical masks yielding the maximum output from the comparison operation between image data and mask were output to obtain the annotation information. Each image was then automatically cropped to remove the annotation banner and leave only the image data. The cropped image matrix dimensions and character recognition output were used to determine the corresponding pixel size. The algorithm was tested on 1110 images with various pixel sizes. In every case, the value output by the algorithm corresponded exactly to the true value. Our recognition algorithm now allows for the clinical translation of our fully-automated breast ultrasound CAD system.

Citation Download Citation

Nicholas Gruszauskas, Karen Drukker, and Maryellen Lissak Giger "Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.595664

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KEYWORDS

Ultrasonography

Detection and tracking algorithms

Breast

Optical character recognition

Computer aided diagnosis and therapy

Scanners

CAD systems

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