@inbook {914, title = {Techniques of Virtual Dissection of the Colon Based on Spiral CT Data}, booktitle = {Image Processing in Radiology}, year = {2008}, note = {doi: 10.1007/978-3-540-49830-8_18}, month = {2008}, pages = {257 - 268}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Book chapter}, address = {Berlin}, abstract = {

Colorectal cancer represents the third most commonly diagnosedcancer and is the second leading cause of cancer deaths in the United States (Gazelle et al. 2000). In addition, colorectal cancer is responsible for about 11\% of all new cancer cases per year (Gazelle et al. 2000). Five-year prognosis is about 90\% for patients with localized disease compared to 60\% if there is a regional spread and a drop to 10\% in patients with distant metastasis (Gazelle et al. 2000). In the field of medicine there is a widely accepted opinion that most colorectal cancers arise from pre-existent adenomatous polyps (Johnson 2000). Therefore, different societies, such as the American Cancer Society, have proposed screening for colorectal cancer (Byers et al. 1997; Winawer et al. 1997). Today, different options exist for detection of colorectal cancer, including digital rectal examination, fecal occult blood testing, flexible and rigid sigmoidoscopy, barium enema and its variants, colonoscopy and recently computed tomography or magnetic resonance-based virtual colonography (Gazelle et al. 2000).

}, doi = {10.1007/978-3-540-49830-8_18}, author = {Erich Sorantin and Emese Balogh and Anna Vilanova Bartroli and K{\'a}lm{\'a}n Pal{\'a}gyi and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Franz Lindbichler and Andrea Ruppert}, editor = {Emanuele Neri and Davide Caramella and Carlo Bartolozzi} } @inbook {899, title = {Virtual Dissection of the Colon}, booktitle = {3D Image Processing}, year = {2002}, note = {doi: 10.1007/978-3-642-59438-0_18}, month = {2002///}, pages = {197 - 209}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = {New York} } @conference {1037, title = {Problems and Solutions: One Year Experience with SZOTE-PACS}, booktitle = {15th EuroPACS Annual Meeting}, year = {1997}, month = {Sep 1997}, pages = {39 - 42}, publisher = {*}, organization = {*}, address = {Pisa}, abstract = {

In 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Gy{\"o}rgyi Medical University) begun, we chose DICOM as the common file format and a possible file transfer protocol for our PACS. Now, we present the problems and our solutions connected with the application of the DICOM standard. According to our experiences the problems can be explained as the misinterpretation of the complex, complicated and extensive standard. After some minor adjustments the exchange of study data between different systems, vendors, and even modalities was generally successful. Diagnostic tools for testing DICOM files coming from different modalities are a help to the adjustments. In the second part we present the automatic procedures built into SZOTE-PACS: automatic data-conversion, -edition (including existing RIS data and predefined study parameters), lossless image data compression, checking and transmission to the Archive.

} } @conference {1320, title = {Problems and Solutions: One Year Experience with SZOTE-PACS}, booktitle = {15th EuroPACS Annual Meeting}, year = {1997}, month = {Sep 1997}, pages = {39 - 42}, publisher = {*}, organization = {*}, address = {Pisa, Italy}, abstract = {

In 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Gy{\"o}rgyi Medical University) begun, we chose DICOM as the common file format and a possible file transfer protocol for our PACS. Now, we present the problems and our solutions connected with the application of the DICOM standard. According to our experiences the problems can be explained as the misinterpretation of the complex, complicated and extensive standard. After some minor adjustments the exchange of study data between different systems, vendors, and even modalities was generally successful. Diagnostic tools for testing DICOM files coming from different modalities are a help to the adjustments. In the second part we present the automatic procedures built into SZOTE-PACS: automatic data-conversion, -edition (including existing RIS data and predefined study parameters), lossless image data compression, checking and transmission to the Archive.

} }