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A Subpixel Edge Detector Applied to Aortic Dissection Detection [chapter]

A. Trujillo-Pino, K. Krissian, D. Santana-Cedrés, J. Esclarín-Monreal, J. M. Carreira-Villamor
2012 Lecture Notes in Computer Science  
The aim of this paper is to contribute to its diagnosis, detecting the dissection edges inside the aorta.  ...  The aortic dissection is a disease that can cause a deadly situation, even with a correct treatment.  ...  In this set of tests, the NRAD method is first applied to reduce the noise, and the subpixel method is applied to detect the edges.  ... 
doi:10.1007/978-3-642-27579-1_28 fatcat:c6yzstldcbatpp4jnf7nz2tqn4

Computed tomography recent history and future perspectives

Jiang Hsieh, Thomas Flohr
2021 Journal of Medical Imaging  
Approach: The review is divided into five major sections, each linked to a key innovation in CT: helical spiral data acquisition, multi-slice CT, wide-cone CT, dual-source CT, and spectral CT.  ...  Purpose: We provide a review of the key computed tomography (CT) technologies developed since the late 1980s and offer an overview of one of the future technologies under development.  ...  A potential subpixel structure is indicated for the three left detector cells.  ... 
doi:10.1117/1.jmi.8.5.052109 fatcat:zsojbcoigbfi5o7v45a3376o5y

Determination of Aortic Elasticity from MR- and CT- Images Using an Automatic Active Contour Model

Roland Krug
2003
Thus, the reliable detection of the aortic cross sectional area over the entire heart cycle was possible for both MR and CT with a relative error of about 1% depending on image quality.  ...  Determination of Aortic Elasticity from MR-and CT-Images Using an Automatic Active Contour Model The possibility to monitor changes in aortic elasticity in humans has important applications for clinical  ...  In order to get subpixel resolution, bilinear interpolation was applied to the pixels.  ... 
doi:10.11588/heidok.00003239 fatcat:bpuz6ke3nzfihktzg5wkmjj6u4

Track I

2014 Biomedical Engineering  
the calculated optical power standing for the accommodation ability, our results show a positive effect on the overall lens deformability of porcine lenses due to the fs-laser treatment.  ...  We show that a properly designed and trained ESN is able to discriminate early and late granulopoietic cells in histopathological images of the human bone marrow with overall mean accuracy (±SD) of 0.846  ...  BF channel segment information is extracted by applying a Sobel edge detector to the BF channel image.  ... 
doi:10.1515/bmt-2014-5008 pmid:25385893 fatcat:4o7vqkhdmfgk5fjzqpeh74x5te

Generalizable automated pixel-level structural segmentation of medical and biological data

Shearin Shuoying Cao, Anil Bharath, Kim Parker, Simon Thom, Imperial College Healthcare NHS Trust
2016
a structural patch context; iii ) using a complex supervised learning process to interpret the combination of all the elements in the patch in order to reach a classification decision.  ...  At the joint level, we construct a hierarchical approach in order for each individual frame to be registered to the global reference intra- and inter- sequence(s).  ...  Here, RANSAC is applied as an internal mechanism for detecting and rejecting gross errors due to limitations from local feature detection.  ... 
doi:10.25560/40229 fatcat:by6htmdurbbwrar6t3rte4j2q4

Segmentation and Tracking in High-Throughput Bioimaging

Ricard Delgado Gonzalo
2013
Since we focus on objects that have a constrained shape and move according to specific patterns, it seems natural to approach the detection, segmentation, and tracking problems with model-based techniques  ...  Then, we extend our model to a fully parametric 3D design.  ...  I do not want to forget all my friends from my universities (FME, ETSETB, and IIT). Without them, my geekiness would not be so strong.  ... 
doi:10.5075/epfl-thesis-5657 fatcat:3zq5hbcne5ekrf3sdhg44vghr4