Posters

CAD Poster

118 Automatic and consistent registration framework for temporal pairs of mammograms in application to breast cancer risk assessment due to HRT (Hormone Replacement Therapy)
G. Karemore, M. Nielsen, Univ. of Copenhagen (DK)

119 Reducing false positive marks in breast mass Computer-Aided Detection via Bilateral Ranklet Texture Analysis
M. Masotti, R. Campanini, Univ. of Bologna (I)

120 How can image quality affect the detection performances of breast CAD (Computer Aided Detection) in FFDM (Full Field Digital Mammography)?
N. Uchiyama, N. Moriyama, National Cancer Center, K. Otsuka, Siemens-Asahi Medical Technologies Ltd., Tokyo (J), J. Stoeckel, Siemens Computer Aided Diagnosis Ltd., Jerusalem (IL)

121 Towards CAVA: Lymph node enhanced visualization for fast visual detection of axillary lymph nodes in Breast MR images
T. Bülow, R. Wiemker, Philips Research Hamburg (D), L. Arbash Meinel, Philips Research North America, Briarcliff Manor, NY, H. Abe, G. Newstead, Univ. of Chicago (USA), J. Buurman, Philips Healthcare, Best (NL)

122 Computer diagnosis of contrast-enhanced MR-mammography including reporting functionality
D. Mayer, T. Rösler, T. Keszler, E. Magalotti, H. Faber, T.W. Vomweg, CADMEI GmbH, Ingelheim (D), M. Mattiuzzi, Bracco Imaging S.p.A., Milano (I)

123 Computer-aided detection applied to chest X-rays: feasibility, accuracy, effect on priors and diagnostic role
A. Malich, J. Feger, A. Kott, Suedharz-Hosp. Nordhausen (D)

124 Methodology for automated detection of parenchymal and juxtapleural lung nodules in computed tomography images
I. Gori, Bracco Imaging S.p.A., Milan (I)

125 An approach to the pleura-connected and vascularized lung nodules
P. Badura, J. Czajkowska, E. Pietka, Silesian Univ. of Technology, Gliwice (PL)

126 Lung nodule detection using maximum similarity and template matching in CT scans
J. Ebrahimnejad, Islamic Azad Univ., F. Shayegh, Univ. of Medical Science, Isfahan, R. Amirfattahi, Isfahan Univ. of Technology (IR) cancelled

127 A comparison of ground truth estimation methods
A.M. Biancardi, A.C. Jirapatnakul, A.P. Reeves, Cornell Univ., Ithaca, NY (USA)

128 False positive rejection for detecting tumors in lung area of FDG-PET/CT image
N. Kano, H. Hontani, Nagoya Inst. of Technology, T. Takeda, Univ. of Tsukuba, Y. Watanabe, Yamagata Saisei Hosp. (J)

129 The minimum-output-φ-plane in the 3D iris filter: a new feature for enhancing lung nodules attached to a pulmonary vessel
J.J. Suárez-Cuenca, P. Garcia Tahoces, M. Souto, J.J. Vidal, Univ. of Santiago de Compostela, M. Lado, Univ. of Vigo, Ourense (E), M. Remy-Jardin, J. Remy, Hosp. Calmette, Lille (F)

130 A semi-automated chest CT diagnosis assistant using content-based retrieval of CT images with structured report
M. Endo, T. Aramaki, K. Asakura, M. Moriguchi, A. Sawada, Shizuoka Cancer Center, A. Osawa, Fujifilm Corporation, Tokyo (J)

131 A method for lung segmentation in massive X-ray screening of the population
V. Kovalev, A. Prus, National Academy of Sciences of Belarus, P. Vankevich, Physiological City Hosp., Minsk (BY)

132 Sum- and difference-histogram features versus color and position for automated polyp recognition
C. Münzenmayer, N. Shevchenko, S. Mühldorfer, T. Wittenberg, Fraunhofer Inst. Integrated Circuits, Erlangen (D)

133 An automatic Computer Aided Detection (CAD) and Measurement (CAM) system for abdominal aortic aneurysm in CT angiography
J. Dehmeshki, Kingston Univ., H. Amin, M. Ebadian Dehkordi, Mediar Ltd, London (UK), A.-M. Jouannic, S.D. Qanadli, CHUV, Lausanne (CH)