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D Hoogstrate

Publications and source records attributed to D Hoogstrate.

2 recordsLinked to original sources

Full-field direct digital telemammography: technical components, study protocols, and preliminary results.

The early detection of breast cancer increases the survival rate in women. Today, film-screen mammography is the most common and effective technique for the detection of breast cancer. However, the film-screen image recording system of current mammography has several technical limitations that can reduce the breast cancer diagnostic accuracy. A state-of-the-art technology, full-field direct digital mammography (FFDDM) has the potential to increase the sensitivity of clinical and screening examinations and emerge as a film-screen mammography replacement. It is believed that efficiently delivering the superior image quality of FFDDM to expert mammographers will significantly increase the breast cancer diagnostic accuracy. This concept motivates the studies of FFDDM telemammography. In this paper, we will report the FFDDM telemammography project that is being conducted in our facility. The fundamental technology of the FFDDM system and the characteristics of FFDDM images are described. Our research approach is through three protocols: telediagnosis, teleconsultation, and telemanagement. Each of these study protocols is defined. To conduct this FFDDM telemammography project, an asynchronous transfer-mode-network-based telemammography system is developed across two remote campuses in our facility. The architecture of this system is detailed. Unlike other medical imaging modalities, the matrix of an FFDDM image is huge. How to present the image information to mammographers via currently available display media is a challenging task. Our display approaches for the FFDDM images are described. Some preliminary study results from the current phase of this study are reported.

Breast Neoplasms↗

Automatic breast region extraction from digital mammograms for PACS and telemammography applications.

High spatial resolution results in very large digital mammogram file sizes. For telemammography, and picture archiving and communication systems, the large file issue introduces technical difficulties in image transmission, storage, and display. We propose extracting the breast region from the mammogram to reduce the image file size. The challenge is on how to faithfully extract breast regions from digital mammograms generated from different types of acquisition systems that contain various imaged compositions. We report an algorithm to automatically identify the orientation of breast region and extract the breast region from mammograms. Breast regions extracted from full-field digital mammograms reduce file sizes by three to five folds.

Algorithms↗