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Titolo:
The use of optical flow to characterize muscle contraction
Autore:
Zoccolan, D; Giachetti, A; Torre, V;
Indirizzi:
Scuola Int Super Studi Avanzati, Trieste, Italy Scuola Int Super Studi Avanzati Trieste Italy Avanzati, Trieste, Italy SISSA, INFM, Unita Trieste, I-34014 Trieste, Italy SISSA Trieste Italy I-34014 INFM, Unita Trieste, I-34014 Trieste, Italy CRS4, I-09010 Uta, Ca, Italy CRS4 Uta Ca Italy I-09010CRS4, I-09010 Uta, Ca, Italy
Titolo Testata:
JOURNAL OF NEUROSCIENCE METHODS
fascicolo: 1-2, volume: 110, anno: 2001,
pagine: 65 - 80
SICI:
0165-0270(20010930)110:1-2<65:TUOOFT>2.0.ZU;2-Y
Fonte:
ISI
Lingua:
ENG
Soggetto:
CENTRAL NERVOUS SYSTEM; MOTION FIELD; LONGITUDINAL MUSCLE; MOTOR NEURONS; LEECH;
Keywords:
videomicroscopy; skin contraction; motoneuron characterization; optical flow; image sequence analysis; feature tracking;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: Torre, V Scuola Int Super Studi Avanzati, Via Beirut 2, Trieste, Italy Scuola Int Super Studi Avanzati Via Beirut 2 Trieste Italy taly
Citazione:
D. Zoccolan et al., "The use of optical flow to characterize muscle contraction", J NEUROSC M, 110(1-2), 2001, pp. 65-80

Abstract

Muscle contraction is usually measured and characterized with force and displacement transducers. The contraction of muscle fibers, however, evokes in the tissue a two and even three-dimensional displacement field, which is not properly quantified by these transducers because they provide just a single scalar quantity. This problem can be circumvented by using optical measurements and standard tools of computer vision, developed for the analysisof time varying image sequences. By computing the so called optical flow, i.e. the apparent motion of points in a time varying image sequence, it is possible to recover a two-dimensional motion field, describing rather precisely the displacement caused by muscle contraction in a flattened piece of skin. The obtained two-dimensional optical flow can be further analyzed by computing its elementary deformation components, providing a novel and accurate characterization of the contraction induced by different motoneurons. This technique is demonstrated analyzing the displacement caused by muscle contraction in the skin of the leech, Hirudo medicinalis. The proposed technique can be applied to monitor and characterize all contractions in almostflat tissues with enough visual texture. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/09/20 alle ore 23:47:49