Improved Segmentation of Multiple Cavities of the Heart in Wide-View 3-D Transesophageal Echocardiograms

Haak, Alexander; Ren, Ben; Mulder, H.; Vegas-Sánchez-Ferrero, Gonzalo; Burken, Gerard van; Steen, Antonius F.W. van der; Stralen, Marijn van; Pluim, Josien P. W.; Walsum, Theo van; Bosch, Johannes G.

doi:10.1016/j.ultrasmedbio.2015.03.011

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…Although higher errors were found in this experiment (Table II) when compared with experiment 1 (CT acquisition versus ideal model, Table I), it can be easily explained by the difficulties to visualize the boundary positions in US images, image artifacts caused by the water tank walls, the difficulties to the detect limits of the generated orifices and the low field of view of the TEE probe (which hamper the identification of the phantom's extreme positions). [32][33][34] In addition and as discussed in other studies, 32,35 manual segmentation of US images is more prone to errors and harder to be performed than in CT, justifying again the higher errors found in Table II. To increase the realism of the current ultrasound image, graphite particles or glycerin should be combined with the flexible material, as suggested in previous studies. 14 Such particles will generate speckle noise in the resulting ultrasound image, making the cardiac wall heterogeneous (i.e., multiple intensity values in the ultrasound image) and thus obtaining more realistic, non-saturated walls.…”

Section: Discussionmentioning

confidence: 61%

“…) and also its superior accuracy throughout the phantom construction stage. Although higher errors were found in this experiment (Table ) when compared with experiment 1 (CT acquisition versus ideal model, Table ), it can be easily explained by the difficulties to visualize the boundary positions in US images, image artifacts caused by the water tank walls, the difficulties to the detect limits of the generated orifices and the low field of view of the TEE probe (which hamper the identification of the phantom's extreme positions) . In addition and as discussed in other studies, manual segmentation of US images is more prone to errors and harder to be performed than in CT, justifying again the higher errors found in Table .…”

Section: Discussionmentioning

confidence: 62%

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Development of a patient‐specific atrial phantom model for planning and training of inter‐atrial interventions

et al. 2017

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Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 62%

Development of a patient‐specific atrial phantom model for planning and training of inter‐atrial interventions

et al. 2017

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“…Multi-view and multi-probe imaging have been introduced for cardiac applications, showing promising results in improving lateral resolution and contrast [19][20][21][22][23][24]. However, its major shortcoming is the use of separate US image acquisitions, obtained manually at different time points, which can result in misalignment of the images due to changes in hemodynamic variables such as heart rate or ventricular pressure.…”

Section: Introductionmentioning

confidence: 99%

Cardiac Strain Imaging Using Multi-Perspective Ultrafast Ultrasound

et al. 2022

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The heart is a complex organ with a high level of deformation occurring in different directions. Ultrasound imaging has proven to be a valuable tool to quantify these deformations. However, strain is not always measured accurately in vital parts of the heart when only using a single probe, even at a high frame rate, because of the anisotropic spatial resolution and contrast. Therefore, a multi-perspective ultrafast ultrasound (US) strain imaging method was developed, aiming at investigating improvements in strain while operating two probes at different relative angles. In an ex-vivo experiment of a beating porcine heart, parasternal short axis views of the left ventricle (LV) were acquired by two phased array probes with different relative angles (30°–75°) at a frame rate of 170 frames per second (FPS). A fully automatic registration algorithm was developed to register the image datasets for all cases. Next, radio frequency (RF) based strain imaging was performed. Axial displacements were compounded based on the unit axial vectors of the dual probes to improve motion tracking and strain estimation. After performing multi-perspective strain imaging, compounded radial and circumferential strain both improve compared to single probe strain imaging. While increasing the inter-probe angle from 30° to 75°, the mean tracking error (ME), mean drift error (MDE) and strain variability (SV) decreased, and signal-to-noise ratio (SNRe) increased for both strain components. For the largest angle (75°), large reductions in ME (−42%), MDE (−50%) and SV (−48%) were observed. The SNRe increased by 253 and 39% for radial and circumferential strain, respectively, and strain curves revealed less noise for each region. In summary, a multi-perspective ultrafast US strain imaging method was introduced to improve cardiac strain estimation in an ex-vivo beating porcine heart setup.

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“…Previously we developed a method to generate a surface model of the heart from ultrasound images 13, 14 . We sought to adapt this methodology to non-ecg gated and non-contrast thoracic CT scans and then explore the utility of the resulting data.…”

Section: Introductionmentioning

confidence: 99%

Ventricular Geometry From Non-contrast Non-ECG-gated CT Scans

Rahaghi

Vegas-Sánchez-Ferrero

Minhas

et al. 2017

Academic Radiology

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Background Imaging based assessment of cardiovascular structure and function provides clinically relevant information in smokers. Non-cardiac gated thoracic computed tomographic (CT) scanning is increasingly leveraged for clinical care and lung cancer screening. We sought to determine if more comprehensive measures of ventricular geometry could be obtained from CT using an atlas based surface model of the heart. Methods Subcohorts of 24 subjects with cardiac MRI and 262 subjects with echocardiography were identified from COPDGene, a longitudinal observational study of smokers. A surface model of the heart was manually initialized, and then automatically optimized to fit the epicardium for each CT. Estimates of right and left ventricular (RV and LV) volume and free wall curvature were then calculated and compared with structural and functional metrics obtained from MRI and echocardiograms. Results CT measures of RV dimension and curvature correlated with similar measures obtained using MRI. RV and LV volume obtained from CT were inversely related with echocardiogrambased estimates of right ventricular systolic pressure using tricuspid regurgitation jet velocity (RVSP) and LV ejection fraction (LVEF) respectively. Patients with evidence of RV or LV dysfunction on echocardiogram had larger RV and LV dimensions on CT. Logistic regression models based on demographics and ventricular measures from CT had an area under the curve (AUC) of > 0.7 for the prediction of elevated RVSP and ventricular failure. These data suggest that non-cardiac gated, non-contrast enhanced thoracic CT scanning may provide insight into cardiac structure and function in smokers.

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Improved Segmentation of Multiple Cavities of the Heart in Wide-View 3-D Transesophageal Echocardiograms

Cited by 7 publications

References 27 publications

Development of a patient‐specific atrial phantom model for planning and training of inter‐atrial interventions

Development of a patient‐specific atrial phantom model for planning and training of inter‐atrial interventions

Cardiac Strain Imaging Using Multi-Perspective Ultrafast Ultrasound

Ventricular Geometry From Non-contrast Non-ECG-gated CT Scans

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