SonoEye TM Ver. 2.00

SonoEye TM - Breast Ultrasound Image Retrieval System CAD Impact, Inc. today announced the first version 2.00 of SonoEye TM – breast

ultrasound image retrieval system.

1. Background

Breast cancer is second to lung cancer in the fatality rate due to cancer among

women today. In the developed countries, one out of every nine women gets breast

cancer during her lifetime.

Standard breast diagnosis is based on mammography and ultrasound. Many of lesions

found turn out to be benign up to about 70%~85%. Ultrasound is known to provide the

radiologist with the ability to better differentiate benign lesions from malignant ones

that may be suggestive of cancer.

We provide two kinds of decision support to radiologist. One is likelihood of

malignancy, the other is retrieval based on similar other biopsy-proven breast images.

100: highly suggestive of malignancy

0: lowly suggestive of malignancy

2. ROI (Region of interest) Selection

The guideline of our system for user is to select the ROI to contact the boundary of

mass as shown below.

Fig. 1. The Example of ROI.

3. Decision Support by Similar Cases Retrieval on Breast Ultrasound

We have developed a breast ultrasound image retrieval system for the decision

support of classification of breast lesions on ultrasound. Biopsy-proved direct-digital

1,000 data were used to construct the main DB engine.

The image database is constructed by about 1,000 cases (malignant cases are about

400. Benign cases are about 600.) And all cases were biopsy-proven. Two kinds of

retrieval images of full size image and ROI image can be executed.

Computer-generated malignant likelihood is calculated based on the retrieved images.

So, user can infer what is basis of the malignant likelihood. In situations in which the

radiologist and the computer disagree, this is useful solution.

Fig. 2. The Example of Typical Benign Case.

Fig. 3. The Example of Typical Malignant Case.

4. Technical briefing

SonoEye TM uses shaped-emphasized features and texture-emphasized features

Shaped-emphasized feature means that mass’s texture information also have

influence but the major target information is shape.

Height/width ratio

Shape (round, oval, lobular, irregular)

…

Texture-emphasized feature means that mass’s shape information also have influence

but the major target information is texture.

Echopattern (complex or not, …)

Margin (circumscribed or not)

…

Above sonography features are merged through order statistic filtering analysis to yield

an estimate of the final malignant score.

5. Computer’s Likelihood of Malignancy

For objective appraisal, leaving-one-out test were considered. The test results tell

us Az value of 0.90 (area under receiver operating curve).

Fig. 4. The ROC curve for SonoEye TM.

6. Discussion

Decision support to breast radiologist is expected with the help of SonoEye TM.

Fig. 5. SonoEye TM Viewer of CAD Impact, Inc.

About CAD Impact, Inc.

CAD Impact, Inc., headquartered in Seoul, Korea, is a leading development company of

computer aided diagnosis system and MRI image analysis software. For more information visit

www.cadimpact.com

- Media Contact: -

H. J. Lee, CTO, Ph. D.

CAD Impact, Inc.

e-mail: triumvirat@hanmail.net

K. S. Om, CEO, Ph. D.

CAD Impact, Inc.

e-mail: ksom@chol.com