Reconstruction of the Descending Thoracic Aorta by Multiview Compounding of 3-D Transesophageal Echocardiographic Aortic Data Sets for Improved Examination and Quantification of Atheroma Burden

Carminati, Chiara; Piazzese, Concetta; Weinert, Lynn; Tsang, Wendy; Tamborini, Gloria; Pepi, Mauro; Lang, Roberto M.; Caiani, Enrico Gianluca

doi:10.1016/j.ultrasmedbio.2014.12.669

Cited by 8 publications

(5 citation statements)

References 31 publications

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“…Limited FoV remains a major challenge for examining a whole region of interest of the heart with 3D TEE images. Conventional registration and fusion methods enlarge the FoV by fusing multiview images captured at the same phase of cardiac cycles 4–6 . However, these methods require an additional step of synchronizing 3D TEE images with ECG signal and can only reconstruct the 3D volumes at the selected phase so that motion information of the anatomy of interest is not available in the fused images.…”

Section: Discussionmentioning

confidence: 99%

“…Conventional registration and fusion methods enlarge the FoV by fusing multiview images captured at the same phase of cardiac cycles. [4][5][6] However, these methods require an additional step of synchronizing 3D TEE images with ECG signal and can only reconstruct the 3D volumes at the selected phase so that motion information of the anatomy of interest is not available in the fused images. In this paper, a novel direct dynamic fusion framework is proposed to enlarge the FoV of 3D TEE images by fusing multiview images captured at different phases of cardiac cycles sequentially, avoiding the aforementioned bias.…”

Section: Discussionmentioning

confidence: 99%

“…Registration that determines the accuracy of anatomical structures in the fused image is a critical step prior to the fusion. Many efforts have been made to enlarge the FoV of 3D TEE images by registering and fusing multiview images 4–7 . However, these methods are based on the static images obtained by synchronizing 3D TEE images to electrocardiogram (ECG) signal at a specific phase of cardiac cycles.…”

Section: Introductionmentioning

confidence: 99%

“…Many efforts have been made to enlarge the FoV of 3D TEE images by registering and fusing multiview images. [4][5][6][7] However, these methods are based on the static images obtained by synchronizing 3D TEE images to electrocardiogram (ECG) signal at a specific phase of cardiac cycles. Since these methods are biased to the selected time point, motion information of the anatomy of interest 8 is not available in the fused image.…”

Section: Introductionmentioning

confidence: 99%

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Complete region of interest reconstruction by fusing multiview deformable three‐dimensional transesophageal echocardiography images

et al. 2022

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Background While three‐dimensional transesophageal echocardiography (3D TEE) has been increasingly used for assessing cardiac anatomy and function, it still suffers from a limited field of view (FoV) of the ultrasound transducer. Therefore, it is difficult to examine a complete region of interest without moving the transducer. Existing methods extend the FoV of 3D TEE images by mosaicing multiview static images, which requires synchronization between 3D TEE images and electrocardiogram (ECG) signal to avoid deformations in the images and can only get the widened image at a specific phase. Purpose This work aims to develop a novel multiview nonrigid registration and fusion method to extend the FoV of 3D TEE images at different cardiac phases, avoiding the bias toward the specifically chosen phase. Methods A multiview nonrigid registration and fusion method is proposed to enlarge the FoV of 3D TEE images by fusing dynamic images captured from different viewpoints sequentially. The deformation field for registering images is defined by a collection of affine transformations organized in a graph structure and is estimated by a direct (intensity‐based) method. The accuracy of the proposed method is evaluated by comparing it with two B‐spline–based methods, two Demons‐based methods, and one learning‐based method VoxelMorph. Twenty‐nine sequences of in vivo 3D TEE images captured from four patients are used for the comparative experiments. Four performance metrics including checkerboard volumes, signed distance, mean absolute distance (MAD), and Dice similarity coefficient (DSC) are used jointly to evaluate the accuracy of the results. Additionally, paired t‐tests are performed to examine the significance of the results. Results The qualitative results show that the proposed method can align images more accurately and obtain the fused images with higher quality than the other five methods. Additionally, in the evaluation of the segmented left atrium (LA) walls for the pairwise registration and sequential fusion experiments, the proposed method achieves the MAD of (0.07 ± 0.03) mm for pairwise registration and (0.19 ± 0.02) mm for sequential fusion. Paired t‐tests indicate that the results obtained from the proposed method are more accurate than those obtained by the state‐of‐the‐art VoxelMorph and the diffeomorphic Demons methods at the significance level of 0.05. In the evaluation of left ventricle (LV) segmentations for the sequential fusion experiments, the proposed method achieves a DSC of (0.88 ± 0.08), which is also significantly better than diffeomorphic Demons at the 0.05 level. The FoVs of the final fused 3D TEE images obtained by our method are enlarged around two times compared with the original images. Conclusions Without selecting the static (ECG‐gated) images from the same cardiac phase, this work addressed the problem of limited FoV of 3D TEE images in the deformable scenario, obtaining the fused images with high accuracy and good quality. The proposed method could provide an alternative to the c...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Complete region of interest reconstruction by fusing multiview deformable three‐dimensional transesophageal echocardiography images

et al. 2022

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“…Several studies, the majority of them pre-clinical, have examined various M3DFE protocols. These studies have demonstrated improvements in parameters such as FOV, EBD, contrast, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR) and perception of imaging artifacts (Soler et al 2005;Szmigielski et al 2010;Rajpoot et al 2011b;Yao et al 2011;Carminati et al 2015;Danudibroto et al 2016;Punithakumar et al 2016a;Peressutti et al 2017). However, these studies also show areas for improvement-for example, in accurate alignment of the 3-D data sets and feasibility.…”

Section: Introductionmentioning

confidence: 99%

Multi-View 3-D Fusion Echocardiography: Enhancing Clinical Feasibility with a Novel Processing Technique

Lamb

Sarban

Shanks

et al. 2021

Ultrasound in Medicine & Biology

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A novel system for fusing 3-D echocardiography data sets from complementary acoustic windows was evaluated in 12 healthy volunteers and 12 patients with heart failure. We hypothesized that 3-D fusion would enable 3-D echocardiography in patients with limited acoustic windows. At least nine 3-D data sets were recorded, while three infrared cameras tracked the position and orientation of the transducer and chest respiratory movements. Corresponding 2-D planes of the fused 3-D data sets and of single-view 3-D data sets were assessed for image quality and compared with measurements of left ventricular function obtained with contrast 2-D echocardiography. The signal-to-noise ratio in accurately fused 3-D echocardiography recordings improved by 55% in systole (p < 0.001) and 47% in diastole (p < 0.00001) compared with the apical single-view recordings. The 3-D data sets acquired during short breath holds were successfully fused in 11 of 12 patients. The improvement in endocardial border definition (from 11.7 § 6.0 to 24.0 § 3.3, p < 0.01) enabled quantitative assessment of left ventricular function in 10 patients, with no significant difference in ejection fraction compared with contrast 2-D echocardiography. In patients with heart failure and limited acoustic windows, the novel fusion protocol provides 3-D data sets suitable for quantitative analysis of left ventricular function.

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DSR: Direct Simultaneous Registration for Multiple 3D Images

Mao¹,

Zhao²,

Huang³

et al. 2022

Lecture Notes in Computer Science

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Reconstruction of the Descending Thoracic Aorta by Multiview Compounding of 3-D Transesophageal Echocardiographic Aortic Data Sets for Improved Examination and Quantification of Atheroma Burden

Cited by 8 publications

References 31 publications

Complete region of interest reconstruction by fusing multiview deformable three‐dimensional transesophageal echocardiography images

Complete region of interest reconstruction by fusing multiview deformable three‐dimensional transesophageal echocardiography images

Multi-View 3-D Fusion Echocardiography: Enhancing Clinical Feasibility with a Novel Processing Technique

DSR: Direct Simultaneous Registration for Multiple 3D Images

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