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2 Prace Naukowe Politechniki Warszawskiej. Elektronika

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100%

Boniński P. , Przelaskowski A.

2006

tom z. 157

101-107

Picture archiving and communication systems (PACS) are designed to provide the radiologist with image information he needs. Currently, state-of-art standard of digital imaging and communication in medicine (DICOM) gives only alphanumerical descriptions of image and this is the only information used in PACS to select relevant images. However, it is industry standard now, textual descriptions are insufficient to describe variety of details in medical image. The content-based image retrieval (CBIR) systems could support DICOM-based retrieval systems and fulfilI "right time, right place" paradigms. In our work we developed Image Shark - a content-based image retrieval system, integrated with PACS solution in one, fully-integrated environment, with novel JPEG2000 codec for effective image transmission and interactive communication. Our system joins cIassic PACS with content-based image retrieval engine. Such approach gives very flexible and effective image retrieval ways. A set of image- and wavelet-domain based indexes were implemented, verified in initial experiments and selected as suitable for mammograms, radiograms and other modalities. Precision of data retrieval was comparable with other engines (IRMA, others), giving very promising results with similar or better precision level.

Metoda detekcji guzków w obrazach mammograficznych wykorzystująca transformację Rayleigha

80%

Boniński P. , Wróblewska A. , Przelaskowski A.

2007

tom z. 161

55-61

Breast cancer is one of the most dangerous tumors for middle-aged and older woman, and mammography is its most reliable early detection method. In this paper, a fully automated method for detection of mass-like objects is proposed. The main stage of the algorithm is non-linear histogram conversion based on Rayleigh transformation. That approach gives us mammograms with significantly improved masses visibility and, thus, easier way to segment a potential mass object. Achieved results confirm the usefulness proposed method for application in mammography-oriented content-based image retrieval system and are comparable to to other state-of art methods.