Three-dimensional sonographic examination of the midbrain for computer-aided diagnosis of movement disorders.

We present a novel approach to transcranial B-mode sonography for Parkinson's disease (PD) diagnosis by using 3-D ultrasound (3-DUS). We reconstructed bilateral 3-DUS volumes of the midbrain and substantia nigra echogenicities (SNE) and report results of a more objective abnormality detection in (PD...

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Published in:Ultrasound in Medicine & Biology Vol. 38; no. 12; pp. 2041 - 2051
Main Authors: Plate A, Ahmadi SA, Pauly O, Klein T, Navab N, Bötzel K, Plate, Annika, Ahmadi, Seyed-Ahmad, Pauly, Olivier, Klein, Tassilo, Navab, Nassir, Bötzel, Kai
Format: research Journal Article
Published: Elsevier B.V. Dec2012
Online Access:View this record in EBSCOhost
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      dt: Dec2012
      vid: 38
      iid: 12
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      pub: Elsevier B.V.
      place: New York, New York
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        104389526
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        10.1016/j.ultrasmedbio.2012.07.017
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        atl: Three-dimensional sonographic examination of the midbrain for computer-aided diagnosis of movement disorders.
      aug:
        au:
          Plate A
          Ahmadi SA
          Pauly O
          Klein T
          Navab N
          Bötzel K
          Plate, Annika
          Ahmadi, Seyed-Ahmad
          Pauly, Olivier
          Klein, Tassilo
          Navab, Nassir
          Bötzel, Kai
        affil: Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
      sug:
        subj:
          Image Processing, Computer Assisted
          Diagnostic Imaging
          Brain Stem Ultrasonography
          Parkinson Disease Ultrasonography
          Ultrasonography, Doppler, Transcranial
          Algorithms
          Female
          Human
          Male
          Middle Age
          Sensitivity and Specificity
          Middle Aged: 45-64 years
          Female
          Male
      ab: We present a novel approach to transcranial B-mode sonography for Parkinson's disease (PD) diagnosis by using 3-D ultrasound (3-DUS). We reconstructed bilateral 3-DUS volumes of the midbrain and substantia nigra echogenicities (SNE) and report results of a more objective abnormality detection in (PD). For classification, we analyzed volumetric measurements of midbrain and SNE in subjects with PD and healthy controls (HC). After blinded segmentation of these structures in 22/23 subjects (11 PD, 11 HC) and by two observers with varying prior experience in this technique, the classification algorithm yielded up to 91% sensitivity and 64% specificity using the larger volume of both SNE as a single-dimensional features and up to 90.9% sensitivity and 72.7% specificity using a multidimensional feature set with midbrain and both SNE volumes. This pilot study indicates that our TC-3-D-US approach is technically feasible and less dependent on the investigator's experience and good bone windows. Our pilot study yielded a fairly high sensitivity and specificity in differentiating between subjects with PD and HC.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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