TY - GEN

T1 - Towards Fully Automated Determination of Laryngeal Adductor Reflex Latencies through High-Speed Laryngoscopy Image Processing

AU - Fast, Jacob F.

AU - Ptok, Martin

AU - Jungheim, Michael

AU - Szymanski, Robin

AU - Ortmaier, Tobias

AU - Kahrs, Lüder A.

N1 - Funding information: Acknowledgement. This work has been funded by the German Research Foundation (grants no. KA 2975/6-1 and PT 2/5-1). The authors would like to thank Mrs. Sarah Schroeter for the acquisition of the sequences that this work is based upon. This work has been funded by the German Research Foundation (grants no. KA 2975/6-1 and PT 2/5-1). The authors would like to thank Mrs. Sarah Schroeter for the acquisition of the sequences that this work is based upon.

PY - 2018

Y1 - 2018

N2 - Protective reflexes of the larynx help to avoid intrusion of foreign particles into the lower airways, which can lead to aspiration pneumonia. These protective mechanisms include the Laryngeal Adductor Reflex (LAR), a rapid adduction of the vocal folds. Up to now, the LAR latency could only be determined manually by visually assessing laryngoscopic high-speed video sequences obtained during and after stimulation of the larynx by water droplet impact. Here, we present a novel image processing algorithm based on difference image calculation and optical flow analysis for a more objective LAR latency determination. To evaluate our prototype algorithm, we compared the results obtained for a set of example sequences with the values given by two expert phoniatricians. The results show a very good LAR stimulation detection performance. LAR onset detection remains challenging for our algorithmic approach as well as for the human perceptive system, as demonstrated by a low inter-rater reliability.

AB - Protective reflexes of the larynx help to avoid intrusion of foreign particles into the lower airways, which can lead to aspiration pneumonia. These protective mechanisms include the Laryngeal Adductor Reflex (LAR), a rapid adduction of the vocal folds. Up to now, the LAR latency could only be determined manually by visually assessing laryngoscopic high-speed video sequences obtained during and after stimulation of the larynx by water droplet impact. Here, we present a novel image processing algorithm based on difference image calculation and optical flow analysis for a more objective LAR latency determination. To evaluate our prototype algorithm, we compared the results obtained for a set of example sequences with the values given by two expert phoniatricians. The results show a very good LAR stimulation detection performance. LAR onset detection remains challenging for our algorithmic approach as well as for the human perceptive system, as demonstrated by a low inter-rater reliability.

UR - http://www.scopus.com/inward/record.url?scp=85043323522&partnerID=8YFLogxK

U2 - 10.1007/978-3-662-56537-7_41

DO - 10.1007/978-3-662-56537-7_41

M3 - Conference contribution

T3 - Informatik aktuell

SP - 121

EP - 126

BT - Bildverarbeitung für die Medizin 2018

ER -