We are analyzing https://link.springer.com/chapter/10.1007/978-3-642-40760-4_68.

Title:
Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI | SpringerLink
Description:
The detection of Gad-enhancing lesions in brain MRI of Multiple Sclerosis (MS) patients is of great clinical interest since they are important markers of disease activity. However, many of the enhancing voxels are associated with normal structures (i.e. blood...
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Keywords {🔍}

lesions, google, scholar, multiple, sclerosis, detection, mri, information, image, miccai, random, gadenhancing, brain, chapter, paper, conditional, karimaghaloo, university, privacy, cookies, publish, medical, computerassisted, conference, temporal, fields, arnold, collins, arbel, springer, heidelberg, content, research, search, computing, intervention, voxel, clinical, amcrf, segmentation, article, data, journal, adaptive, texture, rivaz, part, computer, science, level,

Topics {✒️}

min- cut/max-flow algorithms magnetic resonance images multi-center clinical trials medical image computing average false positive ms gad-enhancing lesions relapsing-remitting ms patients voxel based crf adaptive voxel computer-assisted quantitation multiple sclerosis lesions conditional random fields privacy choices/manage cookies article google scholar gadolinium-enhanced lesions gad-enhancing lesions main content log gadolinium-based contrast local intensity distortions identify candidate lesions great clinical interest european economic area higher order potentials local affine regions large margin approach computer science brain mri zahra karimaghaloo a-contrario analysis conditions privacy policy learning algorithm improves multiple sclerosis accepting optional cookies paper cite paper karimaghaloo image retrieval sparse texture representation textural journal finder publish brain mapp enhancing lesions enhanced features assisted tomography 42 temporal information conference series international conference references miki permissions reprints level automated segmentation

Schema {🗺️}

ScholarlyArticle:
      headline:Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI
      pageEnd:550
      pageStart:543
      image:https://media.springernature.com/w153/springer-static/cover/book/978-3-642-40760-4.jpg
      genre:
         Computer Science
         Computer Science (R0)
      isPartOf:
         name:Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
         isbn:
            978-3-642-40760-4
            978-3-642-40759-8
         type:Book
      publisher:
         name:Springer Berlin Heidelberg
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Zahra Karimaghaloo
            affiliation:
                  name:McGill University
                  address:
                     name:Centre for Intelligent Machines, McGill University, Canada
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Hassan Rivaz
            affiliation:
                  name:McGill University
                  address:
                     name:Montreal Neurological Institute, McGill University, Canada
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Douglas L. Arnold
            affiliation:
                  name:NeuroRx Research
                  address:
                     name:NeuroRx Research, Montreal, Canada
                     type:PostalAddress
                  type:Organization
            type:Person
            name:D. Louis Collins
            affiliation:
                  name:McGill University
                  address:
                     name:Montreal Neurological Institute, McGill University, Canada
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Tal Arbel
            affiliation:
                  name:McGill University
                  address:
                     name:Centre for Intelligent Machines, McGill University, Canada
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:Multiple Sclerosis, Brain Magnetic Resonance Image, False Detection, Textural Pattern, Voxel Level
      description:The detection of Gad-enhancing lesions in brain MRI of Multiple Sclerosis (MS) patients is of great clinical interest since they are important markers of disease activity. However, many of the enhancing voxels are associated with normal structures (i.e. blood vessels) or noise in the MRI, making the detection of Gad-enhancing lesions a challenging task. Furthermore, these lesions are typically small and in close proximity to vessels. In this paper, we present a probabilistic Adaptive Multi-level Conditional Random Field (AMCRF) framework, capable of leveraging spatial and temporal information, for detection of MS Gad-enhancing lesions. In the first level, a voxel based CRF with cliques of up to size three, is used to identify candidate lesions. In the second level, higher order potentials are incorporated leveraging robust textural features which are invariant to rotation and local intensity distortions. Furthermore, we show how to exploit temporal and longitudinal images, should they be available, into the AMCRF model. The proposed algorithm is tested on 120 multimodal clinical datasets acquired from Relapsing-Remitting MS patients during multi-center clinical trials. Results show a sensitivity of 93%, a positive predictive value of 70% and average False Positive (FP) counts of 0.77. Moreover, the temporal AMCRF results show the same sensitivity as the AMCRF model while decreasing the FP counts by 22%.
      datePublished:2013
      isAccessibleForFree:1
      context:https://schema.org
Book:
      name:Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
      isbn:
         978-3-642-40760-4
         978-3-642-40759-8
Organization:
      name:Springer Berlin Heidelberg
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:McGill University
      address:
         name:Centre for Intelligent Machines, McGill University, Canada
         type:PostalAddress
      name:McGill University
      address:
         name:Montreal Neurological Institute, McGill University, Canada
         type:PostalAddress
      name:NeuroRx Research
      address:
         name:NeuroRx Research, Montreal, Canada
         type:PostalAddress
      name:McGill University
      address:
         name:Montreal Neurological Institute, McGill University, Canada
         type:PostalAddress
      name:McGill University
      address:
         name:Centre for Intelligent Machines, McGill University, Canada
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Zahra Karimaghaloo
      affiliation:
            name:McGill University
            address:
               name:Centre for Intelligent Machines, McGill University, Canada
               type:PostalAddress
            type:Organization
      name:Hassan Rivaz
      affiliation:
            name:McGill University
            address:
               name:Montreal Neurological Institute, McGill University, Canada
               type:PostalAddress
            type:Organization
      name:Douglas L. Arnold
      affiliation:
            name:NeuroRx Research
            address:
               name:NeuroRx Research, Montreal, Canada
               type:PostalAddress
            type:Organization
      name:D. Louis Collins
      affiliation:
            name:McGill University
            address:
               name:Montreal Neurological Institute, McGill University, Canada
               type:PostalAddress
            type:Organization
      name:Tal Arbel
      affiliation:
            name:McGill University
            address:
               name:Centre for Intelligent Machines, McGill University, Canada
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Centre for Intelligent Machines, McGill University, Canada
      name:Montreal Neurological Institute, McGill University, Canada
      name:NeuroRx Research, Montreal, Canada
      name:Montreal Neurological Institute, McGill University, Canada
      name:Centre for Intelligent Machines, McGill University, Canada

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