Now showing items 1-7 of 7

    • 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 ...
    • DCMQI: An open source library for standardized communication of quantitative image analysis results using DICOM 

      Herz, Christian; Fillion-Robin, Jean-Christophe; Onken, Michael; Riesmeier, Jörg; Lasso, Andras; Pinter, Csaba; Fichtinger, Gabor; Pieper, Steve; Clunie, David; Kikinis, Ron; Fedorov, Andriy (American Association for Cancer Research, 2017-08-30)
      Quantitative analysis of clinical image data is an active area of research that holds promise for precision medicine, early assessment of treatment response, and objective characterization of the disease. Interoperability, ...
    • DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research 

      Fedorov, Andriy; Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R. (PeerJ Inc., 2016)
      Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their ...
    • GBM Volumetry using the 3D Slicer Medical Image Computing Platform 

      Egger, Jan; Kapur, Tina; Fedorov, Andriy; Pieper, Steve; Miller, James V.; Veeraraghavan, Harini; Freisleben, Bernd; Golby, Alexandra Jacqueline; Nimsky, Christopher; Kikinis, Ron (Nature Publishing Group, 2013)
      Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. ...
    • An ITK implementation of a physics-based non-rigid registration method for brain deformation in image-guided neurosurgery 

      Liu, Yixun; Kot, Andriy; Drakopoulos, Fotis; Yao, Chengjun; Fedorov, Andriy; Enquobahrie, Andinet; Clatz, Olivier; Chrisochoides, Nikos P. (Frontiers Media S.A., 2014)
      As part of the ITK v4 project efforts, we have developed ITK filters for physics-based non-rigid registration (PBNRR), which satisfies the following requirements: account for tissue properties in the registration, improve ...
    • 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 ...
    • Variability in MRI vs. ultrasound measures of prostate volume and its impact on treatment recommendations for favorable-risk prostate cancer patients: a case series 

      Murciano-Goroff, Yonina R; Wolfsberger, Luciant D; Parekh, Arti; Fennessy, Fiona M; Tuncali, Kemal; Orio, Peter F; Niedermayr, Thomas R; Suh, W Warren; Devlin, Phillip M; Tempany, Clare Mary C; Sugar, Emily H Neubauer; O’Farrell, Desmond A; Steele, Graeme; O’Leary, Michael; Buzurovic, Ivan; Damato, Antonio L; Cormack, Robert A; Fedorov, Andriy Y; Nguyen, Paul L (BioMed Central, 2014)
      Background: Prostate volume can affect whether patients qualify for brachytherapy (desired size ≥20 mL and ≤60 mL) and/or active surveillance (desired PSA density ≤0.15 for very low risk disease). This study examines ...