Particle tracking for the assessment of microcirculatory perfusion

Physiological Measurement

Volumn 38, Issue 2, 2017, Pages 358-373

  Sorelli, Michele ^a   Ince, Can ^b   Bocchi, Leonardo ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

^b ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Kalman filter; microcirculation; RBC speed

Indexed keywords

BANDPASS FILTERS; BLOOD; CLINICAL RESEARCH; FLOW VELOCITY; IMAGE SEGMENTATION; MICROCIRCULATION; SPEED; SPEED CONTROL; TRACKING (POSITION);

AUTOMATED METHODS; CELL FLOW; CLINICAL RESEARCH; CRITICALLY-ILL PATIENTS; FLOW SPEED; OFFLINE; PARTICLE TRACKING; RED BLOOD CELL; RED BLOOD CELL SPEED; SPACE-TIME DIAGRAMS;

KALMAN FILTERS;

BLOOD FLOW VELOCITY; CYTOLOGY; ERYTHROCYTE; HUMAN; IMAGE PROCESSING; MICROCIRCULATION; MICROSCOPY; PHYSIOLOGY;

BLOOD FLOW VELOCITY; ERYTHROCYTES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROCIRCULATION; MICROSCOPY;

EID: 85012868819     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/1361-6579/aa56ab     Document Type: Article

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