International Classification of HRCT for Occupational and by Yukinori Kusaka, Kurt G. Hering, John E. Parker

By Yukinori Kusaka, Kurt G. Hering, John E. Parker

Many overseas specialists collaborated in growing this groundbreaking paintings, a principal-coding method, and in constructing reference motion pictures and imaging parameters for the International type of HRCT for Occupational and Environmental breathing illnesses . The ebook is an authoritative advisor to the popularity of airborne dirt and dust illnesses of the lung, utilizing radiological imaging ideas, with particular emphasis on high-resolution automated tomography (CT). The type is a robust, crucial software for recording sufferer information on CT in a globally standardized semiquantitative manner. The process is usually appropriate to surveillance and screening for occupational and environmental respiration illnesses. With the accompanying CD-ROM containing all of the reference movies, readers can simply interpret medical info. The publication is a worthy source not just for radiologists yet for all who paintings in occupational medication and public health.

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Example text

The DLP, given in units of mGycm, can be estimated from an integral of the multiple-scan dose profile D(z) for the sequence (examination) -TOO DLP = \D{z)dz. When CT examination consists of many scans (or rotations), DLP is simply the product of the DLPi of one scan (or one rotation in helical scanning) and the number of scans n (or rotations) LI2 DLP = n \D^(z)dz := n DLPi = nAd MSAD -1/2 = n-NTCTDI. Therefore, DLP per sequence is the product of the table scan length n Ad and the average dose MSAD or the product of the number of scans (rotations) n, the slice thickness N T and the CTDI.

To minimize motion artifacts, the scanner should be able to produce short exposure times, preferably less than 1 second. Thin section slices computed by ultra high algorithm may be generated from the raw data produced with equipment capable for volume CT, spiral or the most recent technical approach, multirow or multislice CT (Anonymous 2002). 5 sec) added to the spiral imaging (Kalender et al. 2000). Spatial and contrast resolution along the z axis, previously a limiting step for slice images, has improved because of the possibility of reconstructing arbitrarily many images in any direction and any slice thickness for the scanned volume (Kalender et al.

5 reference line] (from Huuskonenn et al. 2001, with permission) The purpose of the HRCT Classification is to describe and code parenchymal and pleural manifestation of diffuse non-malignant occupational and environmental respiratory diseases. The Classification gives a semi-quantitative tool for early detection of fibrotic changes induced by occupational and environmental dust-exposure. Positive scoring by the HRCT Classification does not always mean the presence of pneumoconioses. Therefore, it could be used in following three settings.

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