Medical Image Analysis Overview

Medical image analysis and image processing

Medical image analysis encompasses a broad range of techniques and processes aimed at creating and analyzing images of the human body to reveal, diagnose or examine disease. Mammography is one such procedure that uses low-dose X-rays to examine the human breast. It has been proven to reduce mortality from breast cancer and is an essential part of regular breast care. Mammography is the tool of choice used in conjunction with physical examination for early breast cancer screening.

Medical image analysis and image processing are often applied as an interpretive aid during the mammography image review. Radiologists frequently use Computer Aided Detection (CAD) software to help them read medical images. The purpose of CAD is to identify and highlight hard-to-find features and anomalies on medical images that may be indicative of cancer and bring them to the attention of the radiologist for further review, while minimizing false-positive (i.e. identification of non-cancerous regions of interest as suspects) readings that burden the physician’s review process and can lead to higher recall rates.

Medical imaging centers, radiology departments and hospitals are embracing the benefits of computerized second read in mammogram images to detect breast cancers earlier. Radiologists report that on many occasions CAD systems helped them to confirm that a suspicious area required further investigation. The American College of Radiology, Medicare, American Cancer Society and patient advocacy groups have recognized the benefits of the CAD technology. As a result, mammograms and CAD screenings are now encouraged as a preventive measure and are reimbursed by Medicare and other insurance companies.

Parascript’s Computer Aided Detection algorithm is intended for OEM customers that are interested in improving the performance of their CAD and mammography systems.

With Parascript, you get a powerful and flexible medical image analysis and processing algorithm that can locate hard-to-find regions of interest with high sensitivity and low false-positive rates. The algorithm may allow you to:

Detect breast anomalies earlier
Locate hard-to-find regions of interest with high sensitivity
Achieve low false-positive rates
Integrate easily with existing analog and digital systems

Parascript® AccuDetect™ - Medical image analysis and processing algorithm: detects breast lesions earlier and with a higher level of assurance



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