Arytenoid cartilage feature point detection using laryngeal 3D CT images in Parkinson's disease

Nandakishor Desai, Aravinda S. Rao, Paari Palaniswami, Dominic Thyagarajan, Marimuthu Palaniswami

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Parkinson's disease is a neurodegenerative disorder that results in progressive degeneration of nerve cells. It is generally associated with the deficiency of dopamine, a neurotransmitter involved in motor control of humans and thus affects the motor system. This results in abnormal vocal fold movements in majority of the Parkinson's patients. Analysis of vocal fold abnormalities may provide useful information to assess the progress of Parkinson's disease. This is accomplished by measuring the distance between the arytenoid cartilages during phonation. In order to automate this process of identifying arytenoid cartilages from CT images, in this work, a rule-based approach is proposed to detect the arytenoid cartilage feature points on either side of the airway. The proposed technique detects feature points by localizing the anterior commissure and analyzing airway boundary pixels to select the optimal feature point based on detected pixels. The proposed approach achieved 83.33% accuracy in estimating clinically-relevant feature points, making the approach suitable for automated feature point detection. To the best of our knowledge, this is the first such approach to detect arytenoid cartilage feature points using laryngeal 3D CT images.

Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017)
EditorsEung Je Woo, Yuang-ting Zhang, Thomas Penzel
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1820-1823
Number of pages4
ISBN (Electronic)9781509028092
ISBN (Print)9781509028108
DOIs
Publication statusPublished - 13 Sep 2017
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2017 - Jeju Island, Korea, Republic of (South)
Duration: 11 Jul 201715 Jul 2017
Conference number: 39th
https://embc.embs.org/2017/

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2017
Abbreviated titleEMBC 2017
CountryKorea, Republic of (South)
CityJeju Island
Period11/07/1715/07/17
Internet address

Cite this

Desai, N., Rao, A. S., Palaniswami, P., Thyagarajan, D., & Palaniswami, M. (2017). Arytenoid cartilage feature point detection using laryngeal 3D CT images in Parkinson's disease. In E. J. Woo, Y. Zhang, & T. Penzel (Eds.), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017) (pp. 1820-1823). [8037199] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2017.8037199