Functional outcomes in symptomatic versus asymptomatic patients undergoing incisional hernia repair: Replacing one problem with another? A prospective cohort study in 1312 patients

Background: Incisional hernias can be associated with pain or discomfort. Surgical repair especially mesh reinforcement, may likewise induce pain. The primary objective was to assess the incidence of pain after hernia repair in patients with and without pre-operative pain or discomfort. The secondary objectives were to determine the preferred mesh type, mesh location and surgical technique in minimizing postoperative pain or discomfort. Materials and methods: A registry-based prospective cohort study was performed, including patients undergoing incisional hernia repair between September 2011 and May 2019. Patients with a minimum follow-up of 3–6 months were included. The incidence of hernia related pain and discomfort was recorded perioperatively. Results: A total of 1312 patients were included. Pre-operatively, 1091 (83%) patients reported pain or discomfort. After hernia repair, 961 (73%) patients did not report pain or discomfort (mean follow-up = 11.1 months). Of the pre-operative asymptomatic patients (n = 221), 44 (20%, moderate or severe pain: n = 14, 32%) reported pain or discomfort after mean follow-up of 10.5 months. Of those patients initially reporting pain or discomfort (n = 1091), 307 (28%, moderate or severe pain: n = 80, 26%) still reported pain or discomfort after a mean follow-up of 11.3 months postoperatively. Conclusion: In symptomatic incisional hernia patients, hernia related complaints may be resolved in the majority of cases undergoing surgical repair. In asymptomatic incisional hernia patients, pain or discomfort may be induced in a considerable number of patients due to surgical repair and one should be aware if this postoperative complication

A 2D texture model based on an autoregressive approach for 3D furlike texture synthesis

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Fast 2D vector field visualization using a 2D texture synthesis based on an autoregressive filter. Application to cardiac imaging

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Shape Prior in Variational Region Growing

International audienceIn this paper, we propose two solutions to integrate shape prior in a segmentation process based on region growing. Our special region growing algorithm relies upon a variational framework which allows to easily take into account shape prior in the segmentation process. Region growing is described as an optimization process that aims to minimize some special energy combining intensity function and shape information. Two kinds of energy are proposed depending on the existence of a reference model or the possibility to assess some shape features at voxel level. We applied positively these two approaches in the context of life imaging in order to segment mice kidneys from small animal CT-images and lacuno-canicular network from experimental high resolution Synchrotron Radiation X-Ray Computed Tomography (SRμCT) images

Age estimation from 3D X-ray CT images of human fourth ribs

International audienceThis project consists in the evaluation of the feasibility to estimate the age of death from the analysis of 3D X-ray images depicting human fourth ribs. An image processing chain is described, aiming at automatically an- alyzing the sternal end of the fourth rib, which is known to be reliable to evaluate the person age, since distinctive modifications occur at this extremity during a human life. This first study relies on a set of 14 ribs acquired by X-ray CT imaging. In the final work, the analysis and the validation of our method will be led on more than 400 samples of human ribs

Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework

International audienceRegion growing is one of the most intuitive techniques for image segmentation. Starting from one or more seeds, it seeks to extract meaningful objects by iteratively aggregating surrounding pixels. Starting from this simple description, we propose to show how region growing technique can be elevated to the same rank as more recent and sophisticated methods. Two formalisms are presented to describe the process. The first one derived from non-parametric estimation relies upon feature space and kernel functions. The second one is issued from a variational framework, describing the region evolution as a process which minimizes an energy functional. It thus proves the convergence of the process and takes advantage of the huge amount of work already done on energy functionals. In the last part, we illustrate the interest of both formalisms in the context of life imaging. Three segmentation applications are considered using various modalities such as whole body PET imaging, small animal μCT imaging and experimental Synchrotron Radiation μCT imaging. We will thus demonstrate that region growing has reached this last decade a maturation that offers many perspectives of applications to the method

2D spatial and temporal displacement field fitting from cardiac MR tagging

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What are the most relevant 2D radiographic texture parameters to assess 3D bone micro-architecture ?

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Relevance of 2D radiographic texture analysis for the assessment of 3D bone micro-architecture

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