Now showing items 1-15 of 15

    • Atlas-Guided Segmentation of Vervet Monkey Brain MRI 

      Fedorov, Andriy; Li, Xiaoxing; Pohl, Kilian M; Bouix, Sylvain; Styner, Martin; Addicott, Merideth; Wyatt, Chris; Daunais, James B; Wells, William Mercer; Kikinis, Ron (Bentham Science, 2011)
      The vervet monkey is an important nonhuman primate model that allows the study of isolated environmental factors in a controlled environment. Analysis of monkey MRI often suffers from lower quality images compared with ...
    • Automated white matter fiber tract identification in patients with brain tumors 

      O’Donnell, Lauren J.; Suter, Yannick; Rigolo, Laura; Kahali, Pegah; Zhang, Fan; Norton, Isaiah; Albi, Angela; Olubiyi, Olutayo; Meola, Antonio; Essayed, Walid I.; Unadkat, Prashin; Ciris, Pelin Aksit; Wells, William M.; Rathi, Yogesh; Westin, Carl-Fredrik; Golby, Alexandra J. (Elsevier, 2016)
      We propose a method for the automated identification of key white matter fiber tracts for neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive neurosurgical patients with brain tumors. ...
    • Bayesian characterization of uncertainty in intra-subject non-rigid registration 

      Risholm, Petter; Janoos, Firdaus; Norton, Isaiah Hakim; Golby, Alexandra Jacqueline; Wells, William Mercer (Elsevier BV, 2013)
      In settings where high-level inferences are made based on registered image data, the registration uncertainty can contain important information. In this article, we propose a Bayesian non-rigid registration framework where ...
    • Extended Broca’s Area in the Functional Connectome of Language in Adults: Combined Cortical and Subcortical Single-Subject Analysis Using fMRI and DTI Tractography 

      Lemaire, Jean-Jacques; Golby, Alexandra Jacqueline; Wells, William Mercer; Pujol, Sonia; Tie, Yanmei; Rigolo, Laura; Yarmarkovich, Alexander; Pieper, Steve; Westin, Carl-Fredrik; Jolesz, Ferenc A.; Kikinis, Ron (Springer Nature, 2012)
      Traditional models of the human language circuitry encompass three cortical areas, Broca’s, Geschwind’s and Wernicke’s, and their connectivity through white matter fascicles. The neural connectivity deep to these cortical ...
    • fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts 

      O'Donnell, Lauren Jean; Rigolo, Laura; Norton, Isaiah; Wells, William Mercer; Westin, Carl-Fredrik; Golby, Alexandra Jacqueline (Elsevier BV, 2012)
      The overall goal of this research is the design of statistical atlas models that can be created from normal subjects, but may generalize to be applicable to abnormal brains. We present a new style of joint modeling of fMRI, ...
    • Free-Form B-spline Deformation Model for Groupwise Registration 

      Balci, Serdar K; Golland, Polina; Shenton, Martha Elizabeth; Wells, William Mercer (Springer, 2007)
      In this work, we extend a previously demonstrated entropy based groupwise registration method to include a free-form deformation model based on B-splines. We provide an efficient implementation using stochastic gradient ...
    • A Hierarchical Algorithm for MR Brain Image Parcellation 

      Pohl, Kilian M.; Bouix, Sylvain; Nakamura, Motoaki; Rohlfing, Torsten; McCarley, Robert William; Kikinis, Ron; Grimson, W. Eric L.; Shenton, Martha Elizabeth; Wells, William Mercer (Institute of Electrical and Electronics Engineers (IEEE), 2007)
      We introduce an algorithm for segmenting brain magnetic resonance (MR) images into anatomical compartments such as the major tissue classes and neuro-anatomical structures of the gray matter. The algorithm is guided by ...
    • An ICA with Reference Approach in Identification of Genetic Variation and Associated Brain Networks 

      Ghassemi, Mohammad M.; Michael, Andrew M.; Boutte, David; Perrone-Bizzozero, Nora; Macciardi, Fabio; Mathalon, Daniel H.; Ford, Judith M.; Potkin, Steven G.; Turner, Jessica A.; Calhoun, Vince D.; Liu, Jingyu; Wells, William Mercer (Frontiers Research Foundation, 2012)
      To address the statistical challenges associated with genome-wide association studies, we present an independent component analysis (ICA) with reference approach to target a specific genetic variation and associated brain ...
    • Logarithm Odds Maps for Shape Representation 

      Pohl, Kilian M.; Fisher, John; Shenton, Martha Elizabeth; McCarley, Robert William; Grimson, W. Eric L.; Kikinis, Ron; Wells, William Mercer (Springer Science + Business Media, 2006)
      The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape representation that demonstrates desirable ...
    • Morphological Characteristics of Brain Tumors Causing Seizures 

      Lee, Jong Woo; Wen, Patrick Yung Chih; Hurwitz, Shelley; Black, Peter McLaren; Kesari, Santosh; Drappatz, Jan; Golby, Alexandra Jacqueline; Wells, William Mercer; Warfield, Simon Keith; Kikinis, Ron; Bromfield, Edward B. (American Medical Association (AMA), 2010)
      Objective: To quantify size and localization differences between tumors presenting with seizures vs nonseizure neurological symptoms. Design: Retrospective imaging survey. We performed magnetic resonance imaging–based ...
    • Multimodal Image Registration for Preoperative Planning and Image-Guided Neurosurgical Procedures 

      Risholm, Petter; Golby, Alexandra Jacqueline; Wells, William Mercer (Elsevier BV, 2011)
      Image registration is the process of transforming images acquired at different time points, or with different imaging modalities, into the same coordinate system. It is an essential part of any neurosurgical planning and ...
    • A New Metric for Detecting Change in Slowly Evolving Brain Tumors: Validation in Meningioma Patients 

      Pohl, Kilian M; Konukoglu, Ender; Novellas, Sebastian; Ayache, Nicholas; Fedorov, Andriy; Talos, Ion-Florin; Golby, Alexandra Jacqueline; Wells, William Mercer; Kikinis, Ron; Black, Peter McLaren (Oxford University Press (OUP), 2011)
      BACKGROUND: Change detection is a critical component in the diagnosis and monitoring of many slowly evolving pathologies. OBJECTIVE: This article describes a semiautomatic monitoring approach using longitudinal medical ...
    • Unbiased Groupwise Registration of White Matter Tractography 

      O’Donnell, Lauren J.; Wells, William Mercer; Golby, Alexandra Jacqueline; Westin, Carl-Fredrik (Springer Berlin Heidelberg, 2012)
      We present what we believe to be the first investigation into unbiased multi-subject registration of whole brain diffusion tractography of the white matter. To our knowledge, this is also the first entropy-based objective ...
    • A Unifying Approach to Registration, Segmentation, and Intensity Correction 

      Pohl, Kilian M.; Fisher, John; Levitt, James Jonathan; Shenton, Martha Elizabeth; Kikinis, Ron; Grimson, William Eric Leifur; Wells, William Mercer (Springer Science + Business Media, 2005)
      We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm to find a solution within the model, which ...
    • Using the logarithm of odds to define a vector space on probabilistic atlases 

      Pohl, Kilian M.; Fisher, John; Bouix, Sylvain; Shenton, Martha Elizabeth; McCarley, Robert William; Grimson, W. Eric L.; Kikinis, Ron; Wells, William Mercer (Elsevier BV, 2007)
      The Logarithm of the Odds ratio (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology, as an alternative representation of probabilities. Here, we use LogOdds to place probabilistic ...