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Computer‐Aided Evaluation of Blood Vessel Geometry From Acoustic Images
Author(s) -
Lindström Stefan B.,
Uhlin Fredrik,
Bjarnegård Niclas,
Gylling Micael,
Nilsson Kamilla,
Svensson Christina,
YngmanUhlin Pia,
Länne Toste
Publication year - 2018
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.1002/jum.14439
Subject(s) - calipers , medicine , cephalic vein , eccentricity (behavior) , metric (unit) , vein , biomedical engineering , anatomy , geometry , surgery , mathematics , operations management , political science , law , economics
A method for computer‐aided assessment of blood vessel geometries based on shape‐fitting algorithms from metric vision was evaluated. Acoustic images of cross sections of the radial artery and cephalic vein were acquired, and medical practitioners used a computer application to measure the wall thickness and nominal diameter of these blood vessels with a caliper method and the shape‐fitting method. The methods performed equally well for wall thickness measurements. The shape‐fitting method was preferable for measuring the diameter, since it reduced systematic errors by up to 63% in the case of the cephalic vein because of its eccentricity.