title: Quantification of left ventricular modification in weightlessness conditions from the spatio-temporal analysis of 2D echocardiographic images.
abstract: Two-dimensional echocardiography (2DE) performed during flights with a parabolic trajectory to simulate weightlessness provides a unique means to study left ventricular (LV) modifications to prevent post-flight orthostatic intolerance in astronauts. However, conventional analysis of 2DE is based on manual tracings and depends on experience. Accordingly, the aim was objectively to quantify, from 2DE images, the LV modifications related to different gravity levels, by applying a semi-automated level-set border detection technique. The algorithm validation was performed by the comparison of manual tracing results, obtained by two independent observers with 20 images, with the semi-automated measurements. To quantify LV modifications, three consecutive cardiac cycles were analysed for each gravity phase (1 Gz, 1.8 Gz, 0 Gz). The level-set procedure was applied frame-by-frame to detect the LV endocardial contours and obtain LV area against time curves, from which end-diastolic (EDA) and end-systolic (ESA) areas were computed and averaged to compensate for respiratory variations. Linear regression (y = 0.91x + 1.47, r = 0.99, SEE:0.80cm2) and Bland-Altman analysis (bias = -0.58 cm2, 95% limits of agreement= +/- 2.14cm2) showed excellent correlation between the semi-automatic and manually traced values. Inter-observer variability was 5.4%, and the inter-technique variability was 4.1%. Modifications in LV dimensions during the parabola were found: compared with 1 Gz values, EDA and ESA were significantly reduced at 1.8 Gz by 8.8 +/- 5.5% and 12.1 +/- 10.1%, respectively, whereas, during 0 Gz, EDA and ESA increased by 13.3 +/- 7.3% and 11.6 +/- 5.1%, respectively, owing to abrupt changes in venous return. The proposed method resulted in fast and reliable estimations of LV dimensions, whose changes caused by different gravity conditions were objectively quantified.
authors.affiliation: DEIS, Università di Bologna, Bologna, Italy. ccorsi@deis.unibo.it
authors.forename: C
authors.initials: C
authors.lastname: Corsi
authors.forename: C
authors.initials: C
authors.lastname: Lamberti
authors.forename: S
authors.initials: S
authors.lastname: Cerutti
authors.forename: J P
authors.initials: JP
authors.lastname: Laulom
authors.forename: O
authors.initials: O
authors.lastname: Bailliart
authors.forename: B
authors.initials: B
authors.lastname: Cholley
authors.forename: A
authors.initials: A
authors.lastname: Capderou
authors.forename: P
authors.initials: P
authors.lastname: Vaida
authors.forename: E G
authors.initials: EG
authors.lastname: Caiani
mesh_terms: D000328:Adult; D004452:Echocardiography / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008875:Middle Aged; D013026:Space Flight; D016277:Ventricular Function, Left; D014893:Weightlessness