Echocardiographic Quantification of Regional Left Ventricular Wall Motion With Color Kinesis

Lang, Roberto M.; Vignon, Philippe; Weinert, Lynn; Bednarz, J.; Korcarz, Claudia E.; Sandelski, Joanne; Koch, Rick; Prater, David; Mor‐Avi, Victor

doi:10.1161/01.cir.93.10.1877

Cited by 176 publications

(81 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The centroid of left ventricular diastolic cavity, representing the average coordinates for all points composing this cavity, was mathematically calculated as previously reported (17). This centroid can be described by:…”

Section: Image Segmentation and Segmental Analysis Of Endocardial Motionmentioning

confidence: 99%

Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images

Murta

Ruiz

Pazin‐Filho

et al. 2006

Braz J Med Biol Res

View full text Add to dashboard Cite

The present study describes an auxiliary tool in the diagnosis of left ventricular (LV) segmental wall motion (WM) abnormalities based on color-coded echocardiographic WM images. An artificial neural network (ANN) was developed and validated for grading LV segmental WM using data from color kinesis (CK) images, a technique developed to display the timing and magnitude of global and regional WM in real time. We evaluated 21 normal subjects and 20 patients with LVWM abnormalities revealed by two-dimensional echocardiography. CK images were obtained in two sets of viewing planes. A method was developed to analyze CK images, providing quantitation of fractional area change in each of the 16 LV segments. Two experienced observers analyzed LVWM from two-dimensional images and scored them as: 1) normal, 2) mild hypokinesia, 3) moderate hypokinesia, 4) severe hypokinesia, 5) akinesia, and 6) dyskinesia. Based on expert analysis of 10 normal subjects and 10 patients, we trained a multilayer perceptron ANN using a back-propagation algorithm to provide automated grading of LVWM, and this ANN was then tested in the remaining subjects. Excellent concordance between expert and ANN analysis was shown by ROC curve analysis, with measured area under the curve of 0.975. An excellent correlation was also obtained for global LV segmental WM index by expert and ANN analysis (R 2 = 0.99). In conclusion, ANN showed high accuracy for automated semi-quantitative grading of WM based on CK images. This technique can be an important aid, improving diagnostic accuracy and reducing inter-observer variability in scoring segmental LVWM.

show abstract

Section: Image Segmentation and Segmental Analysis Of Endocardial Motionmentioning

confidence: 99%

Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images

Murta

Ruiz

Pazin‐Filho

et al. 2006

Braz J Med Biol Res

View full text Add to dashboard Cite

show abstract

“…Diastolic CK images were obtained using a commercially available ultrasound system (Sonos 5500, Philips Medical Systems) from the LV mid papillary short-axis and apical four-chamber views as described previously. 11,13,14 The former view was mainly used for determination of regional wall motion abnormalities. The timing of color encoding was set to start at end systole and to terminate 19 frames (19 3 33 = 627 ms) later or at the ensuing R wave, whichever occurred first.…”

Section: Color Kinesismentioning

confidence: 99%

“…11,13 The sites of regional diastolic wall motion or regions of interest were set on the basis of standard segmentation models corresponding to the three major coronary perfusion territories assigned as follows 16 ( Fig. 1): (1) the anteroseptal segment to the left anterior descending coronary artery (LAD), (2) the lateral segment to the left circumflex branch (LCx), and (3) the inferi- or segment to the right coronary artery (RCA).…”

Section: Analysis Of Color Kinesis Datamentioning

confidence: 99%

See 1 more Smart Citation

Diagnosis of coronary vasospasm by detection of postischemic regional left ventricular delayed relaxation using echocardiographic evaluation with color kinesis

Ishii¹,

Miwa²,

Makita³

et al. 2003

Clinical Cardiology

View full text Add to dashboard Cite

SummaryBackground: Coronary vasospasm has been diagnosed by invasive provocative procedures during coronary arteriography. It would be useful to have a reliable, noninvasive, and safe diagnostic method for coronary vasospasm. Regional left ventricular (LV) diastolic dysfunction may persist without systolic dysfunction after an episode of coronary vasospasm. Color kinesis (CK) has been recently developed to facilitate the echocardiographic evaluation of regional wall motion.Hypothesis: Color kinesis may be useful for diagnosis of coronary vasospasm by detection of postischemic regional LV diastolic wall motion abnormality.Methods: Fifty-one consecutive patients with the last chest symptom within 2 weeks (4 ± 3 days) were studied echocardiographically. Regional fractional area change during the first 30% of LV filling time in percentage of the segmental enddiastolic area change (CK diastolic index) was used to identify diastolic endocardial motion asynchrony.Results: After diagnostic coronary arteriography with spasm provocation, 26 patients were diagnosed with coronary spastic angina (CSA) and the other 25 with chest pain syndrome (CPS). Regional delayed relaxation (CK-diastolic index ≤ 50%) or diastolic asynchrony had been observed in at least one region in 25 (96%) patients with CSA, whereas it had been noted in 2 (8%) patients with CPS. In 17 (65%) patients

show abstract

“…More recently, automated border detection from contrast-enhanced power modulation images was implemented to allow the use of color kinesis for real-time color-encoding and quantitative segmental analysis of wall motion [2][3]. In the present study, we used color-encoding not only for analysis of wall motion but also for automated identification of myocardial ROIs and translation-free analysis of myocardial perfusion [4].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous quantitative assessment of myocardial perfusion and function using analysis of color-encoded contrast-enhanced images

Caiani

Korcarz

Collins

et al. 2003

Computers in Cardiology, 2003

View full text Add to dashboard Cite

show abstract

Echocardiographic Quantification of Regional Left Ventricular Wall Motion With Color Kinesis

Cited by 176 publications

References 38 publications

Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images

Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images

Diagnosis of coronary vasospasm by detection of postischemic regional left ventricular delayed relaxation using echocardiographic evaluation with color kinesis

Simultaneous quantitative assessment of myocardial perfusion and function using analysis of color-encoded contrast-enhanced images

Contact Info

Product

Resources

About