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Lecture Notes in Computer Science
This paper presents a longitudinal change detection framework for detecting relevant modifications in diffusion MRI, with application to Multiple Sclerosis (MS). The proposed method is based on multivariate statistical testings which were initially introduced for tensor population comparison. We use these methods in the context of longitudinal change detection by considering several strategies to build sets of tensors characterizing the variability of each voxel. These testing tools have beendoi:10.1007/978-3-642-15745-5_15 fatcat:3soujdlsh5dd3df6oh5sj2kvca
more »... nsidered either for the comparison of tensor eigenvalues or eigenvectors, thus enabling to differentiate orientation and diffusivity changes. Results on simulated MS lesion evolutions and on real data are presented. Interestingly, experiments on an MS patient highlight the ability of the proposed approach to detect changes in non evolving lesions (according to conventional MRI) and around lesions (in the normal appearing white matter), which might open promising perspectives for the follow-up of the MS pathology.
The automatic analysis of subtle changes between MRI scans is an important tool for assessing disease evolution over time. Manual labeling of evolutions in 3D data sets is tedious and error prone. Automatic change detection, however, remains a challenging image processing problem. A variety of MRI artifacts introduce a wide range of unrepresentative changes between images, making standard change detection methods unreliable. In this study we describe an automatic image processing system thatdoi:10.1016/s1053-8119(03)00406-3 pmid:14568441 fatcat:lejapkhvdjcpzcidn7zxghbbnm
more »... resses these issues. Registration errors and undesired anatomical deformations are compensated using a versatile multiresolution deformable image matching method that preserves significant changes at a given scale. A nonlinear intensity normalization method is associated with statistical hypothesis test methods to provide reliable change detection. Multimodal data is optionally exploited to reduce the false detection rate. The performance of the system was evaluated on a large database of 3D multimodal, MR images of patients suffering from relapsing remitting multiple sclerosis (MS). The method was assessed using receiver operating characteristics (ROC) analysis, and validated in a protocol involving two neurologists. The automatic system outperforms the human expert, detecting many lesion evolutions that are missed by the expert, including small, subtle changes.
Stiff Leg, Myelitis and Anti-Amphiphysin Eur Neurol 2011;66:253-255 255 /Magnin /Berger /Hagenkötter / Rumbach /Bataillard Eur Neurol 2011;66:253-255 254 other medullary MRI was carried out, which ...doi:10.1159/000331592 pmid:21986240 fatcat:idblzftedbdx3o5ahxnv6gmom4
Lecture Notes in Computer Science
In this paper, we study the performance of popular brain atrophy estimation algorithms using a simulated gold standard. The availability of a gold standard facilitates a sound evaluation of the measures of atrophy estimation, which is otherwise complicated. Firstly, we propose an approach for the construction of a gold standard. It involves the simulation of a realistic brain tissue loss based on the estimation of a topology preserving B-spline based deformation fields. Using this golddoi:10.1007/978-3-642-04271-3_69 fatcat:cst6gqe46rc3vpge5hmpkfwmme
more »... we present an evaluation of three standard brain atrophy estimation methods (SIENA, SIENAX and BSI) in the presence of bias field inhomogeneity and noise. The effect of brain lesion load on the measured atrophy is also evaluated. Our experiments demonstrate that SIENA, SIENAX and BSI show a deterioration in their performance in the presence of bias field inhomogeneity and noise. The observed mean absolute errors in the measured Percentage of Brain Volume Change (PBVC) are 0.35% ± 0.38, 2.03% ± 1.46 and 0.91% ± 0.80 for SIENA, SIENAX and BSI, respectively, for simulated whole brain atrophies in the range 0 − 1%.
In this paper, we propose a new scheme to detect and align simultaneously peaks that correspond to different metabolites within a biopsy. The proposed peak detection and alignment scheme is based on the use of evidence theory, which is well suited to model uncertainty and imprecision characterizing the 2D NMR HR-MAS spectra. Consequently, we propose the coupling use of Bayesian and fuzzy set theories to model and quantify the imprecision degree, which is then exploited to define the massdoi:10.1007/s11760-011-0272-2 fatcat:nwpnghglmzehbiyo7imiy5jjmi
more »... n. We particularly show that our new mass function definition and the use of evidence theory for peak detection and alignment achieve consistently high performance compared to a Bayesian scheme on both synthetic and real spectra. The high quality of peak alignment precision reached by the use of evidence theory allows us to efficiently detect reliable biomarkers, which is an essential step for a better therapeutic and human complement system management in case of multiple sclerosis disease, cancer, etc.
Journal of Neurology
Alzheimer's disease (AD) is the most common type of dementia. Current medication treatment is based on two main groups: anticholinesterases (IAChE) and NMDA receptor antagonists. These medications have demonstrated a symptomatic effect on certain cognitive and noncognitive symptoms of AD in the short term (6 months in most studies), although these effects are only limited. 1,2 With diagnostic tools for AD becoming increasingly sophisticated, the pathology is identified at earlier stages thandoi:10.1016/j.brs.2011.03.003 pmid:22037125 fatcat:3oxprddribfopmpk4llt5jgh3y
more »... ore, 3 so suitable therapies must follow to limit the progression of the illness and the cognitive loss associated with it. We report the use of a noninvasive procedure, repetitive transcranial magnetic stimulation (rTMS), on cognitive symptoms of an AD patient. Materials and methods Case study The patient was a 75-year-old right-handed man with a high educational level, selected from the Memory Center of Research and Resources of Besançon. He was diagnosed 2 years ago with probable AD according to NINCDS-ADRDA criteria 4 and treated with memantine (20 mg/d up to 36 months), donepezil (10 mg/d up to 36 months), and venlafaxine (75 mg/d up to 12 months) because of the emergence of depressive symptoms in reaction to the diagnosis and resolved last year. His wife had noticed progressive difficulty in remembering recent events and spatiotemporal disorientation for about 2 years associated with word finding problems and poor decision-making capacity that interfere with daily living activities. A T2-weighted magnetic resonance image (MRI) demonstrated mild hippocampal atrophy and marked biparietal atrophy with no vascular leukoencephalopathy (Figure supplementary material) . The ethics committee of Besançon University Hospital gave its official approval to conduct the protocol and the Correspondence: Prof. Emmanuel Haffen,
REMERCIEMENTS Je tiens en premier lieu à remercier mes directeurs de thèse, les professeurs Pierre Vandel et Lucien Rumbach, pour leur disponibilité et leur soutien sans faille qu'ils m'ont témoigné. ... Dr Rumbach has received research support and speaker honoria from Biogen Idec, Sanofi, Teva, Novartis, Merck Sereno. Dr Galmiche reports no disclosures. IV. ...doi:10.1111/j.1532-5415.2008.02170.x pmid:19220561 fatcat:ibuerjcfyzbo7ejy4qvm76i52y
Participation of the right temporal lobe in perception of music Bernard Lechevalier, Lucien Rumbach, Hervé Platel, Jany Lambert 1711 Infections à Mycobacterium Tuberculosis succédant aux transplantations ...doi:10.1016/s0001-4079(19)33187-5 fatcat:j4she5kru5a4dkr32airso6r5y
Rumbach, MD (Besançon); Germany: Cornelius Weiller, MD (Hamburg), Stephan Bamborschke, MD (Kö ln), Hans-Peter Hartung, MD, Peter Rieckmann, MD (Wü rzburg); Sweden: Magnhild Sandberg-Wollheim, MD, PhD, ... Trial Study Group Cyprus: Savvas Papacostas, MD (Nicosia); France: Michel Clanet, MD, Isabelle Berry, MD, PhD (Toulouse), Gilles Defer, MD (Caën), Olivier Lyon-Caen, MD, Etienne Roullet, MD (Paris), Lucien ...doi:10.1001/archneur.60.12.1736 pmid:14676048 fatcat:jqxq2krecna5lozi326gigm7q4
Acknowledgements All authors wish to thank the late Professor Lucien Rumbach, who was initially the team leader of this work. ...doi:10.1016/j.neurol.2015.12.008 pmid:26993566 fatcat:2sx2yybdsvb3doaszhgr246l5u
Ám a magyar zsidóság ezt nem vette igénybe, Lucien Wolf segítségét is visszautasították, aki a Népszövetség állandó zsidó szakértőjeként dolgozott. ... ., Budapesti orthodox hitközség, 157. kerület, Rumbach utca 6. szám alatt volt, majd a civil szervezet a Kazinczy u 52. alá költözött, végül az Orczy házban (VII. kerület, Király utca 1. ...doi:10.15476/elte.2015.225 fatcat:4ux53ouumrdxhnupp3476p5ky4