B-Mode Assist System software

A software tool for evaluation of echogenicity grade of predefined brain structures in B-images, e.g. substantia nigra, brainstem raphe, thalamus, caudate nucleus, lenticular nucleus, insula, middle temporal lobe, etc.

Under Patent Protection Application No 2015-101 (The method of evaluating of the characteristics of at least one object based on its imaging)

International Patent Classification A61B 8/00, G01S 15/89, G01N 29/04, G01N 24/08 (2006.01)

Web site: http://www.neurosono.cz/eng/bmode.php or http://www.neurosono.cz/eng

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Publications

The papers focused on technical background

  1. Blahuta J, Soukup T, Čermák P, Rozsypal J, Večerek M. (2012, May). Ultrasound medical image recognition with artificial intelligence for Parkinson's disease classification. In MIPRO, 2012 Proceedings of the 35th International Convention (pp. 958-962). IEEE.
  2. Blahuta J, Soukup T, Čermák P, Novák D, Večerek M. (2013). Semi-automatic ultrasound medical image recognition for diseases classification in neurology. In Advances in Intelligent Analysis of Medical Data and Decision Support Systems (pp. 125-133). Springer International Publishing.
  3. Blahuta J, Soukup T, Čermák P, Novák D. (2011, November). The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson's disease diagnosis. In Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering (pp. 261-266). World Scientific and Engineering Academy and Society (WSEAS).

Clinical applications and studies

  1. Blahuta J, Soukup T, Jelinkova M, Bartova P, Cermak P, Herzig R, Skoloudik D. A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2014;158(4):621-7.
  2. Školoudík D, Jelínková M, Blahuta J, et al. Transcranial sonography of the substantia nigra: digital image analysis. AJNR Am J Neuroradiol. 2014;35(12):2273-8.
  3. Šilhán P, Jelínková M, Walter U, Pavlov Praško J, Herzig R, Langová K, Školoudík D. Transcranial sonography of brainstem structures in panic disorder. Psychiatry Res. 2015;234(1):137-43.
  4. Šilhán P, Školoudík D, Jelínková M, Hýža M, Valečková J, Perničková D, Hosák I. The Use of Transcranial Sonography 
at Neuro-psychiatry Interface. Cesk Slov Neurol N 2016; 79(6): 649-654
  5. Hamerla G, Kropp P, Meyer B, Rocco A, Jürgens TP, Walter U. Midbrain raphe hypoechogenicity in migraineurs: An indicator for the use of analgesics but not triptans. Cephalalgia. 2016 Aug 17. [Epub ahead of print]
  6. Walter U, Skowrońska M, Litwin T, Szpak GM, Jabłonka-Salach K, Skoloudík D, Bulska E, Członkowska A. Lenticular nucleus hyperechogenicity in Wilson's disease reflects local copper, but not iron accumulation. J Neural Transm (Vienna). 2014;121(10):1273-9.
  7. Mašková J, Školoudík D, Burgetová A, et al. Comparison of transcranial sonography-magnetic resonance fusion imaging in Wilson's and early-onset Parkinson's diseases. Parkinsonism Relat Disord. 2016;28:87-93.
  8. Školoudík D, Bártová P, Mašková J, Dušek P, Blahuta J, Langová K, Walter U, Herzig R. Transcranial Sonography of the Insula: Digitized Image Analysis of Fusion Images with Magnetic Resonance. Ultraschall Med. 2016 Aug 3.
  9. Walter U, Školoudík D. Transcranial sonography (TCS) of brain parenchyma in movement disorders: quality standards, diagnostic applications and novel technologies. Ultraschall Med. 2014;35(4):322-31.
  10. Školoudík D. Transcranial sonography – imaging of intracranial structures in B-Mode. Cesk Slov Neurol N 2017; 80(1): in print.