caa a22 4500 463178424 CHVBK 20180406164832.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/10278-006-0769-3 doi (NATIONALLICENCE)springer-10.1007/10278-006-0769-3 Three-Dimensional Segmentation of the Tumor in Computed Tomographic Images of Neuroblastoma [Elektronische Daten] [Hanford Deglint, Rangaraj Rangayyan, Fábio Ayres, Graham Boag, Marcelo Zuffo] Segmentation of the tumor in neuroblastoma is complicated by the fact that the mass is almost always heterogeneous in nature; furthermore, viable tumor, necrosis, and normal tissue are often intermixed. Tumor definition and diagnosis require the analysis of the spatial distribution and Hounsfield unit (HU) values of voxels in computed tomography (CT) images, coupled with a knowledge of normal anatomy. Segmentation and analysis of the tissue composition of the tumor can assist in quantitative assessment of the response to therapy and in the planning of delayed surgery for resection of the tumor. We propose methods to achieve 3-dimensional segmentation of the neuroblastic tumor. In our scheme, some of the normal structures expected in abdominal CT images are delineated and removed from further consideration; the remaining parts of the image volume are then examined for the tumor mass. Mathematical morphology, fuzzy connectivity, and other image processing tools are deployed for this purpose. Expert knowledge provided by a radiologist in the form of the expected structures and their shapes, HU values, and radiological characteristics are incorporated into the segmentation algorithm. In this preliminary study, the methods were tested with 10 CT exams of four cases from the Alberta Children's Hospital. False-negative error rates of less than 12% were obtained in eight of the 10 exams; however, seven of the exams had false-positive error rates of more than 20% with respect to manual segmentation of the tumor by a radiologist. SCAR (Society for Computer Applications in Radiology), 2007 3D image segmentation nationallicence neuroblastoma nationallicence computed tomography nationallicence fuzzy connectivity nationallicence tumor segmentation nationallicence Deglint Hanford Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, Alberta, Canada aut Rangayyan Rangaraj Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, Alberta, Canada aut Ayres Fábio Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, Alberta, Canada aut Boag Graham Alberta Children's Hospital, 1820 Richmond Road S.W., T2T 5C7, Calgary, Alberta, Canada aut Zuffo Marcelo Laboratório de Sistemas Integráveis, Departamento de Engenharia de Sistemas Eletrônicos, Escola Politécnica da Universidade de São Paulo, Av. Prof. Luciano Gualberto, 158, Trav. 3 São Paulo, 05508-900, São Paulo, Brazil aut Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/1(2007-03-01), 72-87 0897-1889 20:1<72 2007 20 10278 https://doi.org/10.1007/10278-006-0769-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/10278-006-0769-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Deglint Hanford Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, Alberta, Canada aut NATIONALLICENCE 700 1- Rangayyan Rangaraj Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, Alberta, Canada aut NATIONALLICENCE 700 1- Ayres Fábio Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, Alberta, Canada aut NATIONALLICENCE 700 1- Boag Graham Alberta Children's Hospital, 1820 Richmond Road S.W., T2T 5C7, Calgary, Alberta, Canada aut NATIONALLICENCE 700 1- Zuffo Marcelo Laboratório de Sistemas Integráveis, Departamento de Engenharia de Sistemas Eletrônicos, Escola Politécnica da Universidade de São Paulo, Av. Prof. Luciano Gualberto, 158, Trav. 3 São Paulo, 05508-900, São Paulo, Brazil aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/1(2007-03-01), 72-87 0897-1889 20:1<72 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer