visages_foot2018.bib

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%% inria-00331762, version 1
%% http://hal.inria.fr/inria-00331762

@techreport{combes:hal-00656388,
    hal_id = {hal-00656388},
    url = {http://hal.inria.fr/hal-00656388},
    title = {{A new efficient EM-ICP algorithm for non-linear registration of 3D point sets}},
    author = {Comb{\`e}s, Beno{\^\i}t and Prima, Sylvain},
    abstract = {{In this paper, we present a new method for non-linear pairwise registration of point sets. In this method, we consider the points of the first set as the draws of a Gaussian mixture model whose centres are the points of the second set displaced by a deformation. Next we perform {\it maximum a posteriori} estimation of the parameters (which include the unknown transformation) of this model using the expectation-maximisation algorithm. Compared to other methods using the same ''EM-ICP'' paradigm/framework, we propose three key modifications leading to an efficient algorithm allowing for fast registration of large point sets: 1) symmetrisation of the point-to-point correspondences; 2) specification of priors on these correspondences using differential geometry; 3) efficient encoding of deformations using the RKHS theory and the Fourier analysis. The resulting algorithm is efficient and is able to register large data sets. We evaluate the added value of the modifications and compare our method to the state-of-the-art CPD algorithm on synthetic data.}},
    language = {Anglais},
    affiliation = {VISAGES : Vision Action et Gestion d'Informations en Sant{\'e} - VISAGES},
    type = {Rapport de recherche},
    institution = {INRIA},
    number = {RR-7853},
    year = {2012},
    month = Jan,
    pdf = {http://hal.inria.fr/hal-00656388/PDF/RR-7853.pdf},
}

@inproceedings{combes:inria-00331762,
    hal_id = {inria-00331762},
    url = {http://hal.inria.fr/inria-00331762},
    title = {{New algorithms to map asymmetries of 3D surfaces}},
    author = {Comb{\`e}s, Beno{\^\i}t and Prima, Sylvain},
    abstract = {{In this paper, we propose a set of new generic automated processing tools to characterise the local asymmetries of anatomical structures (represented by surfaces) at an individual level, and within/between populations. The building bricks of this toolbox are: 1) a new algorithm for robust, accurate, and fast estimation of the symmetry plane of grossly symmetrical surfaces, and 2) a new algorithm for the fast, dense, non-linear matching of surfaces. This last algorithm is used both to compute dense individual asymmetry maps on surfaces, and to register these maps to a common template for population studies. We show these two algorithms to be mathematically well-grounded, and provide some validation experiments. Then we propose a pipeline for the statistical evaluation of local asymmetries within and between populations. Finally we present some results on real data.}},
    language = {Anglais},
    affiliation = {VISAGES : Vision Action et Gestion d'Informations en Sant{\'e} - VISAGES},
    booktitle = {{11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'2008)}},
    pages = {17-25},
    address = {New-York, {\'E}tats-Unis},
    volume = {11 (Pt 1)},
    audience = {internationale },
    doi = {10.1007/978-3-540-85988-8\_3 },
    year = {2008},
    pdf = {http://hal.inria.fr/inria-00331762/PDF/miccaiCombes2008Final.pdf},
}


@inproceedings{abadie:2011:inria-00626270:1,
  AUTHOR = {Abadie, Alexandre and Comb{\`e}s, Beno{\^\i}t and Haegelen, Claire and Prima, Sylvain},
  TITLE = {{CLARCS, a C++ Library for Automated Registration and Comparison of Surfaces: Medical Applications}},
  BOOKTITLE = {{MICCAI Workshop on Mesh Processing in Medical Image Analysis (MeshMed'2011)}},
  YEAR = {2011},
  MONTH = Sep,
  PAGES = {117-126},
  ADDRESS = {Toronto, Canada},
  X-INTERNATIONAL-AUDIENCE = {yes},
  X-PROCEEDINGS = {yes},
  URL = {http://hal.inria.fr/inria-00626270/en},
  X-ID-HAL = {inria-00626270},
}

@inproceedings{combes:2011:inserm-00633573:1,
  AUTHOR = {Comb{\`e}s, Beno{\^\i}t and Garraud, Charles and Morandi, Xavier and Prima, Sylvain and Hellier, Pierre},
  TITLE = {{MRI-free neuronavigation for transcranial magnetic stimulation in severe depression}},
  BOOKTITLE = {{MICCAI Workshop on Mesh Processing in Medical Image Analysis (MeshMed'2011)}},
  YEAR = {2011},
  MONTH = Sep,
  PAGES = {29-38},
  ADDRESS = {Canada},
  X-INTERNATIONAL-AUDIENCE = {yes},
  X-PROCEEDINGS = {yes},
  URL = {http://hal.inria.fr/inserm-00633573/en},
  X-ID-HAL = {inserm-00633573},
}

@incollection{Baillard2000d,
	Address = {Pittsburgh, PA},
	Author = {Baillard, C. and Barillot, Christian},
	Booktitle = {Medical Image Computing and Computer-Assisted Intervention},
	Pages = {236-245},
	Publisher = {Springer-Verlag},
	Series = {Lecture Notes in Computer Sciences},
	Title = {Robust 3D Segmentation of Anatomical Structures with Level Sets},
	Volume = {lncs-1935},
	Year = {2000}}

@article{Baillard01,
	Author = {Baillard, C. and Hellier, Pierre and Barillot, Christian},
	Journal = {Medical Image Analysis},
	Number = {3},
	Pages = {185-194},
	Title = {Segmentation of brain 3D MR images using level sets and dense registration},
	Volume = {5},
	Year = {2001}}

@phdthesis{Bari99hdr,
	Author = {Barillot, Christian},
	title = {Fusion de donn{\'e}es et imagerie 3D en m{\'e}decine},
	school = {Universit{\'e} de Rennes 1},
	url = {ftp://ftp.irisa.fr/techreports/habilitations/barillot.pdf},
	Year = {1999}}

@article{Barillot06,
	Abstract = {The NeuroBase project aims at studying the requirements for federating,
	through the Internet, information sources in neuroimaging. These
	sources are distributed in different experimental sites, hospitals
	or research centers in cognitive neurosciences, and contain heterogeneous
	data and image processing programs. More precisely, this project
	consists in creating of a shared ontology, suitable for supporting
	various neuroimaging applications, and a computer architecture for
	accessing and sharing relevant distributed information. We briefly
	describe the semantic model and report in more details the architecture
	we chose, based on a media-tor/wrapper approach. To give a flavor
	of the future deployment of our architecture, we de-scribe a demonstrator
	that implements the comparison of distributed image processing tools
	applied to distributed neuroimaging data.},
	Author = {Barillot, Christian and Benali, H. and Dojat, Michel and Gaignard, A. and Gibaud, Bernard and Kinkingnehun, S. and Matsumoto, J. P. and Pelegrini-Issac, M. and Simon, E. and Temal, L.},
	Journal = {Stud Health Technol Inform},
	Note = {Studies in Health Technology and Informatics},
	Pages = {3-13},
	Title = {Federating Distributed and Heterogeneous Information Sources in Neuroimaging: The NeuroBase Project},
	Volume = {120},
	Year = {2006}}

@article{Buades05,
	Author = {Buades, A. and Coll, B. and Morel, J. M.},
	Journal = {Multiscale Modeling \& Simulation},
	Number = {2},
	Pages = {490-530},
	Title = {A review of image denoising algorithms, with a new one.},
	Volume = {4},
	Year = {2005}}

@inproceedings{Corouge01c,
	Address = {Thessaloniki, Greece},
	Author = {Corouge, Isabelle and Barillot, Christian},
	Booktitle = {IEEE Int. Conf. on Image Processing, ICIP'2001},
	Pages = {149-152},
	Publisher = {IEEE Press},
	Title = {Use of a probabilistic shape model for non-linear registration of 3D scattered data},
	Year = {2001}}

@article{Corouge04a,
	Author = {Corouge, Isabelle and Dojat, Michel and Barillot, Christian},
	Doi = {http://dx.doi.org/10.1016/j.media.2004.06.023},
	Journal = {Medical Image Analysis},
	Number = {3},
	Pages = {353-360},
	Title = {Statistical shape modeling of low level visual area borders},
	Url = {http://authors.elsevier.com/sd/article/S1361841504000350},
	Volume = {8},
	Year = {2004},
	Bdsk-Url-1 = {http://authors.elsevier.com/sd/article/S1361841504000350},
	Bdsk-Url-2 = {http://dx.doi.org/10.1016/j.media.2004.06.023}}

@article{Corouge03a,
	Abstract = {Within the scope of three-dimensional brain imaging, we propose an
	inter-individual fusion scheme to register functional activations
	according to anatomical cortical structures, the sulci. This paper
	is based on the assumption that an important part of the functional
	inter-subject variability is encoded in the anatomical variability.
	Therefore, we aim in this paper at proposing a generic framework
	to register functional activations according to relevant anatomical
	landmarks. Compared to "classical" inter-individual fusion schemes,
	this approach is local. It relies on a statistical sulci shape model
	accounting for the inter-individual variability of a population
	of subjects, and providing deformation modes relatively to a reference
	shape (a mean sulcus). The deformation field obtained between a
	given sulcus and the reference sulcus is extended to a neighborhood
	of the given sulcus by using the thin-plate spline interpolation.
	It is then applied to functional activations located in the vicinity
	of this sulcus. This approach is compared with rigid and non rigid
	registration methods. We present in this paper results on MEG somatosensory
	data acquired on 18 subjects. We show that the non-linear local
	fusion scheme signicantly reduces the functional variability after
	registration.},
	Author = {Corouge, Isabelle and Hellier, Pierre and Gibaud, Bernard and Barillot, Christian},
	Journal = {Neuroimage},
	Keywords = {3D cerebral imaging, probabilistic neuroimaging atlas, statistical shape model, thin-plate spline, non-linear registration, cortical sulci, functional activations, MEG dipoles},
	Number = {4},
	Pages = {1337--1348},
	Title = {Inter-individual functional mapping: a non linear local approach},
	Url = {http://dx.doi.org/10.1016/S1053-8119(03)00158-7},
	Volume = {19},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/S1053-8119(03)00158-7}}

@article{Coupe07,
	Abstract = {3D freehand ultrasound is a technique based on the acquisition of
	non parallel Bscans whose position in 3D space is known by a 3D
	localizer (optic or magnetic) attached to the probe. From these
	irregularly distributed B-scans and their positions, a regular 3D
	lattice volume can be reconstructed. This reconstruction step may
	be needed to apply conventional 3D computer vision algorithms like
	volumetric registration and segmentation, but is still an acute
	problem with regards to computation time and reconstruction quality.
	In this paper, a new 3D reconstruction method is presented, taking
	explicitly into account the 3D probe trajectory. Experiments were
	conducted on di
erent data sets (phantom and intra-operative sequences)
	with various probe motion types and average distance between two
	consecutive B-scans. Results indicate that this technique outperforms
	other classical methods at the expense of a slight computational
	increase.},
	Journal = {Medical Image Analysis},
	Note = {to appear},
	Title = {Probe Trajectory Interpolation for 3D Reconstruction of Freehand Ultrasound},
	Year = {2007}}

@article{DeGuiber07,
	Author = {De Guibert C., Allaire C., Le Rumeur E.},
	Journal = {Cortex},
	Owner = {cbarillo},

	Timestamp = {2007.11.28},
	Title = {Morphologic and functional neuroimaging findings in specified and unspecified dysphasias (specific language impairments): review and perspectives},
	Year = {2007}}

@incollection{WiestDaessle08b,
	Address = {New York, USA},
	Booktitle = {Medical Image Computing and Computer Assisted Intervention, MICCAI'08},
	Owner = {cbarillo},
	Publisher = {Metaxas, D.N. Axel, L.},
	Timestamp = {2008.12.19},
	Title = {Impact of Rician adapted non-local means filtering on HARDI},
	Year = {2008}}

@inproceedings{Grova04,
	Author = {Christophe Grova and Pierre Jannin and Ir{\`e}ne Buvat and Habib Benali and Bernard Gibaud},
	Booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I},
	Editor = {Christian Barillot and David R. Haynor and Pierre Hellier},
	Isbn = {3-540-22976-0},
	Pages = {687-695},
	Publisher = {Springer},
	Series = {Lecture Notes in Computer Science},
	Title = {Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods},
	Volume = {3216},
	Year = {2004}}

@incollection{Hellier02b,
	Address = {Tokyo},
	Author = {Hellier, Pierre and Ashburner, J. and Corouge, Isabelle and Barillot, Christian and Friston, K.J.},
	Booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002},
	Editor = {Kikinis, R. and Ellis, R. and Dohi, T.},
	Pages = {590-587},
	Publisher = {Springer-Verlag},
	Series = {Lecture Notes in Computer Sciences},
	Title = {Inter subject registration of functional and anatomical data using SPM},
	Volume = {LNCS-2489},
	Year = {2002}}

@article{Hellier03b,
	Abstract = {In this paper, we investigate the introduction of cortical constraints
	for non rigid inter-subject brain registration. We extract sulcal
	patterns with the active ribbon method. An energy based registration
	method, which will be called photometric registration method in
	this paper, makes it possible to incorporate the matching of cortical
	sulci, and express in a unied framework the local sparse similarity
	and the photometric similarity. We show the objective benets of
	cortical constraints on a database of 18 subjects, with global and
	local assessment of the registration. This new registration scheme
	has also been evaluated on functional MEG data. We show that the
	anatomically constrained registration leads to a substantial reduction
	of the inter-subject functional variability.},
	Author = {Hellier, Pierre and Barillot, Christian},
	Journal = {IEEE Transactions on Medical Imaging},
	Keywords = {Image Registration, Evaluation, Intersubject Registration, Brain, Deformable, Non Rigid Registration, deformation field, Landmark-Based Registration},
	Note = {Journal Article},
	Number = {2},
	Pages = {217-227},
	Title = {Coupling dense and landmark-based approaches for non rigid registration},
	Volume = {22},
	Year = {2003}}

@article{Hellier03z,
	Author = {Hellier, Pierre and Barillot, Christian and Corouge, Isabelle and Gibaud, Bernard and Le Goualher, G. and Collins, Louis and Evans, A. and Malandain, Gr{\'e}goire and Ayache, Nicholas and Christensen, E., Gary and Johnson, H.},
	Journal = {IEEE Transactions on Medical Imaging},
	Number = {9},
	Pages = {1120-1130},
	Title = {Retrospective Evaluation of Intersubject Brain Registration},
	Volume = {22},
	Year = {2003}}

@article{Hellier01,
	Author = {Hellier, Pierre},
	Abstract = {In this paper we describe a new method for medical image registration.
	The registration is formulated as a minimization problem involving
	robust estimators. We propose an efficient hierarchical optimization
	ramework which is both multiresolution and multigrid. An anatomical
	segmentation of the cortex is introduced in the adaptive partitioning
	of the volume on which the multigrid minimization is based. This
	allows to limit the estimation to the areas of interest, to accelerate
	the algorithm, and to refine the estimation in specified areas.
	At each stage of the hierarchical estimation, we refine current
	estimate by seeking a piecewise affine model for the incremental
	deformation field. The performances of this method are numerically
	evaluated on simulated data and its benefits and robustness are
	shown on a database of 18 real acquisitions.},
	Journal = {IEEE Transaction on Medical Imaging},
	Keywords = {Registration, atlas matching, medical imaging, incremental optical flow, multigrid minimization, robust estimators},
	Number = {5},
	Pages = {388-402},
	Title = {Hierarchical estimation of a dense deformation field for 3D robust registration},
	Volume = {20},
	Year = {2001}}

@article{Jannin06b,
	Author = {Jannin, Pierre and Grova, Christophe and Maurer, C.R.},
	Journal = {International Journal of Computer Assisted Radiology and Surgery},
	Number = {2},
	Pages = {1001-1015},
	Title = {Model for defining and reporting reference-based validation protocols in medical image processing},
	Volume = {1},
	Year = {2006}}

@incollection{Jannin08book,
	Author = {Jannin, Pierre and Korb, W.},
	Booktitle = {Image-Guided Interventions: Technology and Applications},
	Chapter = {16},
	Editor = {Peters, Terry and Cleary, Kevin},
	Pages = {531-547},
	Publisher = {Springer},
	Title = {Assessment of Image Guided Interventions},
	Year = {2008}}

@article{Jannin06a,
	Author = {Jannin, Pierre and Krupinski, E. and Warfield, K., Simon},
	Journal = {IEEE Trans Med Imaging},
	Keywords = {*Algorithms Databases, Factual Diagnostic Imaging/*standards *Guidelines Image Interpretation, Computer-Assisted/*standards Information Storage and Retrieval/standards Quality Assurance, Health Care/*standards Reference Values *Software *Software Validation},
	Note = {Jannin, Pierre Krupinski, Elizabeth Warfield, Simon Editorial United States IEEE transactions on medical imaging IEEE Trans Med Imaging. 2006 Nov;25(11):1405-9.},
	Number = {11},
	Pages = {1405-9},
	Title = {Validation in medical image processing},
	Volume = {25},
	Year = {2006}}

@article{Jannin07,
	Abstract = {In this paper, we outline a way to improve computer-assisted neurosurgery
	using surgical models along with patient-specific models built from
	multimodal images. We propose a methodological framework for surgical
	models that include the definition of a surgical ontology, the development
	of software for describing surgical procedures based on this ontology
	and the analysis of these descriptions to generate knowledge about
	surgical practice. Knowledge generation is illustrated by two studies.
	One hundred fifty-nine patients who underwent brain tumor surgery
	were described from postoperative reports using the surgical ontology.
	First, from a subset of 106 surgical cases, we computed a decision
	tree using a prediction approach that gave probability in terms
	of operating room patient positioning percentages and according
	to tumor location within one or more lobes. Second, from the whole
	set of 159 surgical cases, we identified 6 clusters describing families
	of cases according to pathology-related parameters. Results from
	both studies showed possible prediction of parts of the surgical
	procedure from pathology-related characteristics of the patient.
	Surgical models enable surgical knowledge to be made explicit, facilitating
	the surgical decision-making process and surgical planning and improving
	the human-computer interface during surgery.},
	Author = {Jannin, Pierre and Morandi, Xavier},
	Journal = {Neuroimage},
	Note = {Jannin, P Morandi, X United States NeuroImage Neuroimage. 2007 Sep 1;37(3):783-91. Epub 2007 May 31},
	Number = {3},
	Pages = {783-91},
	Title = {Surgical models for computer-assisted neurosurgery},
	Volume = {37},
	Year = {2007}}

@article{Jannin03,
	Abstract = {OBJECTIVE: Improvement of the planning stage of image-guided surgery
	requires a better anticipation of the surgical procedure and its
	anatomical and functional environment. This anticipation should
	be provided by acquisition of multimodal medical images of the patient
	and by a better understanding of surgical procedures. In this paper,
	we propose improvements to the planning and performance of multimodal
	image-guided neurosurgery through the use of information models
	related to neurosurgical procedures. MATERIALS AND METHODS: A new
	generic model of surgical procedures is introduced in the context
	of multimodal image-guided craniotomies. The basic principle of
	the model is to break down the surgical procedure into a sequence
	of steps defining the surgical script. In the model, a step is defined
	by an action. The model assigns to each surgical step a list of
	image entities extracted from multimodal preoperative images (i.e.,
	anatomical and/or functional images) which are relevant to the performance
	of that particular step. A semantic validation of the model was
	performed by instantiating the model entities for 29 surgical procedures.
	RESULTS: The resulting generic model is described by a UML class
	diagram and a textual description. The validation showed the relevance
	of the model, confirming the main underlying assumptions. It also
	provided some leads to improve the model. CONCLUSION: While further
	validation is needed, the initial benefits of this approach can
	already be outlined. It should add real value to the different levels
	of image-guided surgery, from preprocessing to planning, as well
	as during surgery. Models of surgical procedures can manage image
	data according to the surgical script, which should lead to better
	anticipation of surgery through the development of simulation tools.
	Furthermore, the models may improve the performance of surgery using
	microscope-based neuronavigation systems by making it possible to
	adapt both visualization and interaction features of multimodal
	preoperative images according to the model.},
	Author = {Jannin, Pierre and Raimbault, M. and Morandi, Xavier and Riffaud, Laurent and Gibaud, Bernard},
	Journal = {Comput Aided Surg},
	Keywords = {Humans *Models, Theoretical Neurosurgical Procedures/*methods Surgery, Computer-Assisted/methods/*standards},
	Note = {Jannin, P Raimbault, M Morandi, X Riffaud, L Gibaud, B Research Support, Non-U.S. Gov't Validation Studies United States Computer aided surgery : official journal of the International Society for Computer Aided Surgery Comput Aided Surg. 2003;8(2):98-106.},
	Number = {2},
	Pages = {98-106},
	Title = {Model of surgical procedures for multimodal image-guided neurosurgery},
	Volume = {8},
	Year = {2003}}

@article{JanninCAS03,
	Author = {Jannin, Pierre and Raimbault, M. and Morandi, Xavier and Riffaud, L. and Gibaud, Bernard},
	Journal = {Computer Assisted Surgery},
	Number = {2},
	Pages = {98-106},
	Title = {Models of surgical procedures for multimodal image-guided neurosurgery},
	Volume = {8},
	Year = {2003}}

@article{Paul05,
	Abstract = {Displaying anatomical and physiological information derived from preoperative
	medical images in the operating room is critical in image-guided
	neurosurgery. This paper presents a new approach referred to as
	augmented virtuality (AV) for displaying intraoperative views of
	the operative field over three-dimensional (3-D) multimodal preoperative
	images onto an external screen during surgery. A calibrated stereovision
	system was set up between the surgical microscope and the binocular
	tubes. Three-dimensional surface meshes of the operative field were
	then generated using stereopsis. These reconstructed 3-D surface
	meshes were directly displayed without any additional geometrical
	transform over preoperative images of the patient in the physical
	space. Performance evaluation was achieved using a physical skull
	phantom. Accuracy of the reconstruction method itself was shown
	to be within 1 mm (median: 0.76 mm<tex>$pm$</tex>0.27), whereas
	accuracy of the overall approach was shown to be within 3 mm (median:
	2.29 mm<tex>$pm$</tex>0.59), including the image-to-physical space
	registration error. We report the results of six surgical cases
	where AV was used in conjunction with augmented reality. AV not
	only enabled vision beyond the cortical surface but also gave an
	overview of the surgical area. This approach facilitated understanding
	of the spatial relationship between the operative field and the
	preoperative multimodal 3-D images of the patient.},
	Author = {Paul, P. and Fleig, O.J. and Jannin, Pierre},
	Doi = {10.1109/TMI.2005.857029},
	Journal = {IEEE Transactions on Medical Imaging},
	Keywords = {Image-guided neurosurgery, neuronavigation, performance evaluation, preoperative and intraoperative multimodal, images, stereopsis, Image-guided neurosurgery, neuronavigation, performance evaluation, preoperative and intraoperative, multimodal images, stereopsis},
	Linktopdf = {http://ieeexplore.ieee.org/iel5/42/32620/01525185.pdf?isnumber=32620&arnumber=1525185},
	Note = {0278-0062},
	Number = {11},
	Pages = {1500},
	Title = {Augmented Virtuality Based on Stereoscopic Reconstruction in Multimodal Image-Guided Neurosurgery: Methods and Performance Evaluation},
	Url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=32620&arnumber=1525185&count=11&index=9},
	Volume = {24},
	Year = {2005},
	Bdsk-Url-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=32620&arnumber=1525185&count=11&index=9},
	Bdsk-Url-2 = {http://dx.doi.org/10.1109/TMI.2005.857029}}

@inproceedings{Paul06,
	Address = {Copenhagen, DK},
	Author = {Paul, Perrine and Quere, A. and Arnaud, E. and Morandi, Xavier and Jannin, Pierre},
	Booktitle = {Workshop on Augmented Environments for Medical Imaging and Computer-Aided Surgery (AMI-ARC'06)},
	Title = {A surface registration approach for video-based analysis of intraoperative brain surface deformations},
	Year = {2006}}

@article{Perona90,
	Abstract = {A new definition of scale-space is suggested, and a class of algorithms
	used to realize a diffusion process is introduced. The diffusion
	coefficient is chosen to vary spatially in such a way as to encourage
	intraregion smoothing rather than interregion smoothing. It is shown
	that the 'no new maxima should be generated at coarse scales' property
	of conventional scale space is preserved. As the region boundaries
	in the approach remain sharp, a high-quality edge detector which
	successfully exploits global information is obtained. Experimental
	results are shown on a number of images. Parallel hardware implementations
	are made feasible because the algorithm involves elementary, local
	operations replicated over the image.},
	Author = {Perona, P. and Malik, J.},
	Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	Number = {7},
	Pages = {629-639},
	Title = {Scale-space and edge detection using anisotropic diffusion},
	Volume = {12}}

@article{rudin92,
	Author = {Rudin, L. and Osher, S. and Fatemi, E.},
	Journal = {Physica},
	Year = {1992}}

@article{West97,
	Author = {West, J. and Fitzpatrick, J.M. and Wang, M.Y. and Dawant, Benoit M. and Maurer, C.R. and Kessler, R.M. and Maciunas, R.J. and Barillot, Christian and Lemoine, D. and Collignon, A. and Maes, F. and Suetens, P. and Vandermeulen, D. and van den Elsen, P.A. and Napel, S. and Sumanaweera, T.S. and Harkness, B. and Hemler, P.F. and Hill, D.L.G. and Hawkes, D.J. and Studholme, C. and Maintz, J.B.A. and Viergever, A., Max and Malandain, Gr{\'e}goire and Pennec, Xavier and Noz, M.E. and Maguire, G.Q. and Pollack, M. and Pellizzari, C.A. and Robb, R.A. and Hanson, D. and Woods, R.},
	Journal = {J. Computer Assisted Tomography},
	Pages = {554-566},
	Title = {Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques},
	Volume = {21},
	Year = {1997}}

@incollection{Wiest-miccai07,
	Booktitle = {Medical Image Computing and Computer Assisted Intervention (Miccai'2007)},
	Editor = {Ayache, Nicholas and Ourselin, S. and Maeder, A.},
	Pages = {344--351},
	Publisher = {Springer-Verlag},
	Series = {Lecture Notes in Computer Science (LNCS)},
	Title = {Non-local means variants for denoising of diffusion-weighted and diffusion tensor MRI},
	Url = {http://www.irisa.fr/visages/pdf/WiestDaessle07c.pdf},
	Volume = {4792},
	Year = {2007},
	Bdsk-Url-1 = {http://www.irisa.fr/visages/pdf/WiestDaessle07c.pdf}}

@incollection{WIESTDAESSLE:2008:INSERM-00332388:1,
	Address = {New York, USA},
	Booktitle = {Medical Image Computing and Computer Assisted Intervention, MICCAI'08},
	Editor = {Metaxas, D.N. and Axel, Leon},
	Number = {Lecture Notes in Computer Sciences},
	Owner = {cbarillo},
	Pages = {171--179},
	Publisher = {Springer-Verlag},
	Timestamp = {2008.12.19},
	Title = {Rician noise removal by non-local means filtering for low signal-to-noise ratio MRI: Applications to DT-MRI},
	Url = {http://www.hal.inserm.fr/inserm-00332388/en/},
	Volume = {5241},
	Year = {2008},
	Bdsk-Url-1 = {http://www.hal.inserm.fr/inserm-00332388/en/}}

@inproceedings{WiestDaessle07b,
	Abstract = {A number of problems frequently encountered in brain image analysis
	can be conveniently solved within a registration framework, such
	as alignment of mono- or multi-sequence Magnetic Resonance Images
	(MRI) for single or multiple subjects, computation of the cerebral
	mid-sagittal plane in anatomical or diffusion-tensor MRI, correction
	of acquisition distortions in diffusion-weighted MRI, etc. A widely
	used approach for registration tasks consists of maximising a similarity
	criterion between the intensities of the images to be matched. In
	this context, efficient optimisation methods are needed to obtain
	good performances. In this paper, we introduce a new optimisation
	algorithm (called NEWUOA) to address the above registration problems,
	and we demonstrate its robustness and accuracy properties},
	Address = {Arlington, VA},
	Booktitle = {IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'2007},
	Note = {inproceedings},
	Pages = {41--44},
	Publisher = {IEEE},
	Title = {Validation of a new optimisation algorithm for registration tasks in medical imaging},
	Url = {http://www.irisa.fr/visages/pdf/WiestDaessle07b.pdf},
	Year = {2007},
	Bdsk-Url-1 = {http://www.irisa.fr/visages/pdf/WiestDaessle07b.pdf}}

@article{COUPE:2008:INRIA-00332014:1,
	Abstract = {A critical issue in image restoration is the problem of noise removal
	while keeping the integrity of relevant image information. Denoising
	is a crucial step to increase image quality and to improve the performance
	of all the tasks needed for quantitative imaging analysis. The method
	proposed in this paper is based on a 3-D optimized blockwise version
	of the nonlocal (NL)-means filter (Buades et al., 2005). The NL-means
	filter uses the redundancy of information in the image under study
	to remove the noise. The performance of the NL-means filter has
	been already demonstrated for 2-D images, but reducing the computational
	burden is a critical aspect to extend the method to 3-D images.
	To overcome this problem, we propose improvements to reduce the
	computational complexity. These different improvements allow to
	drastically divide the computational time while preserving the performances
	of the NL-means filter. A fully automated and optimized version
	of the NL-means filter is then presented. Our contributions to the
	NL-means filter are: 1) an automatic tuning of the smoothing parameter;
	2) a selection of the most relevant voxels; 3) a blockwise implementation;
	and 4) a parallelized computation. Quantitative validation was carried
	out on synthetic datasets generated with BrainWeb (Collins et al.,
	1998). The results show that our optimized NL-means filter outperforms
	the classical implementation of the NL-means filter, as well as
	two other classical denoising methods [anisotropic diffusion (Perona
	and Malik, 1990)] and total variation minimization process (Rudin
	et al., 1992) in terms of accuracy (measured by the peak signal-to-noise
	ratio) with low computation time. Finally, qualitative results on
	real data are presented},
	Author = {Coup{\'e}, Pierrick and Yger, P. and Prima, Sylvain and Hellier, Pierre and Kervrann, C. and Barillot, Christian},
	Date-Added = {2009-12-18 15:28:08 +0100},
	Date-Modified = {2009-12-18 17:38:39 +0100},
	Journal = {IEEE Transactions on Medical Imaging},
	Number = {4},
	Owner = {cbarillo},
	Pages = {425--441},
	Timestamp = {2008.12.19},
	Title = {An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images},
	Url = {http://hal.inria.fr/inria-00332014/en/},
	Volume = {27},
	X-Editorial-Board = {yes},
	X-International-Audience = {yes},
	X-Pays = {FR},
	X-Proceedings = {no},
	Year = {2008},
	Bdsk-Url-1 = {http://hal.inria.fr/inria-00332014/en/}}