In-vivo transcranial ultrasound imaging of induced Substantia Nigra hyperechogenicity using adaptive sparse Third Order Volterra Filter

Mohamed Khaled Almekkawy, James Cunningham, Yi Song, H. Albahar, Thyagarajan Subramanian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The difference between the early stages of Parkinson's Disease (PD) and other diseases with similar symptoms is quite difficult to discern. Thus, hyperechogenicity of the Substantia Nigra (SN) revealed in ultrasound imaging has become a standard diagnostic marker for accurately diagnosing PD, as it is only common in PD patients. This has resulted in Transcranial B-mode Ultrasound Imaging (TCUI) becoming a widely used tactic for diagnosis of PD, as ultrasound is naturally well-suited to detect echogenicity. The accepted cutoff for hyperechogenicity is an echogenic area of 0.2cm2. Currently, clinician outline the echogenic area manually with a cursor, which naturally leaves room for ambiguity and human error. Unfortunately standard B-mode images of the SN are noisy enough that determining the boundaries of the echogenic area are typically quite ambiguous. This is why we suggest the use of the Third Order Volterra Filter (ToVF), which can separate an image into its linear, quadratic, and cubic components with no spectral overlap. One common method of implementing the Volterra filter is with an adaptive Least Mean Squares (LMS) algorithm. This paper examines Zero-Attracting variants of LMS algorithms, which take advantage of the sparse nature of ultrasound data for improved performance. We found that the Zero-Attracting algorithms converged to lower steady state errors, and also performed better in terms of dynamic range and boundary definition.

Original languageEnglish (US)
Title of host publication8th International IEEE EMBS Conference on Neural Engineering, NER 2017
PublisherIEEE Computer Society
Pages367-370
Number of pages4
ISBN (Electronic)9781538619162
DOIs
StatePublished - Aug 10 2017
Event8th International IEEE EMBS Conference on Neural Engineering, NER 2017 - Shanghai, China
Duration: May 25 2017May 28 2017

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other8th International IEEE EMBS Conference on Neural Engineering, NER 2017
CountryChina
CityShanghai
Period5/25/175/28/17

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Almekkawy, M. K., Cunningham, J., Song, Y., Albahar, H., & Subramanian, T. (2017). In-vivo transcranial ultrasound imaging of induced Substantia Nigra hyperechogenicity using adaptive sparse Third Order Volterra Filter. In 8th International IEEE EMBS Conference on Neural Engineering, NER 2017 (pp. 367-370). [8008366] (International IEEE/EMBS Conference on Neural Engineering, NER). IEEE Computer Society. https://doi.org/10.1109/NER.2017.8008366