Abstract
Image optimization is an important component of 3D image acquisition. The first and most important step is to obtain the best possible 2D image from which the 3D volumetric data set will be generated. The next step is to optimize the 3D volume dimensions to include not only the entire region of interest (ROI) but also anatomy that can serve as reference spatial coordinates. Further 3D image optimization is achieved through use of several tools including appropriate gain and compression settings, and tissue cropping which includes slicing the volumetric 3D data set in virtually any 2D tomographic plane to remove interfering tissue and noise artifacts, and to highlight the region of interest (ROI) within the 3D data set. Moreover, multiplanar reconstruction (MPR) of the volumetric 3D data set, allows for viewing cardiac structures from any perspective, assessing cardiac pathology simultaneously in multiple planes, and quantifying complex geometric lesions and flow. Once the 3D volume is optimized, a clinically important step is to ensure proper image orientation and display.
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3D Image Optimization [1, 2]
The first step regardless of mode of 3D acquisition is to obtain the highest quality 2D image possible of the region of interest (ROI; Fig. 2.1). Next the 3D counterpart of the 2D image is obtained by pressing the desired 3D mode button (Fig. 2.1).
Regardless of mode of acquisition, 3D image size can be optimized using the Lateral Size/Width and Elevation Width (Philips Healthcare) or Volume Size/Volume Shape (GE Healthcare) function controls (Figs. 2.2, 2.3, and 2.4).
As expected, there is a progressive decrease in the 3D volume rate or frame rate as the 3D volumetric data set gets larger. On the Philips 3D platforms, the initial 3D Full Volume image obtained represents only the posterior half of the entire 3D volume because the anatomic crop plane used to obtain the image is a coronal plane that bisects the heart into two equal anterior and posterior halves. The missing anterior half is restored by pressing a Reset Crop button (Fig. 2.5).
After appropriate image display (discussed later), the 3D image/video clip is initially optimized by using the lowest compression settings possible (Fig. 2.6). Lower compression produces a high contrast image with better fine image details.
Persistent noise and other echo artifacts can be removed through a process known as tissue cropping. Tissue cropping is also very useful to highlight or view the ROI within the 3D volumetric data set and therefore, is crucial for image optimization. The different vendors offer several methods to achieve adequate tissue cropping. These include use of tomographic crop planes that can be advanced into the 3D volumetric data set in parallel to the primary planes of the heart [coronal, sagittal, or transverse which are perpendicular to the elevation or z-axis, azimuthal or x-axis, and axial depth or y-axis respectively [Crop Adjust Box (Philips Healthcare); Crop Tool (GE Healthcare), Box Edit (Siemens Healthineers) Fig. 2.7] or from any angle [Translate (GE Healthcare; Fig. 2.8), Crop Adjust Plane or Plane Crop (Philips Healthcare) a freely adjustable arbitrary cropping plane that has a purple color when in front the 3D volumetric data set (Fig. 2.9)], or alternatively, crop lines or boxes [iCrop , Face Crop, or Quick Vue (Philips Healthcare), 2 Click Crop (GE Healthcare); D’art (Siemens Healthineers)] that determine the ROI within the 3D volumetric data set to be viewed (Figs. 2.10 and 2.11).
Care should be taken to avoid over cropping and thus creation of artefactual defects. The effects of excessive gain or too low a gain setting are illustrated in Fig. 2.12.
Smoothing is the process by which the texture of a rough surface is evened out. Too much smoothing masks fine image details (Fig. 2.13).
3D Image Display
Appropriate image display is important. For the enface left atrial view of the mitral valve, the 3D image is rotated so that the anterior aortic valve is at the top of the image with the medial atrial septum to the right and the anterolateral left atrial appendage to the left of the image (Figs. 2.6 and 2.14).
This view is referred to as the surgeon’s view because it closely resembles how the cardiac surgeon sees the mitral valve upon opening up the left atrium. Current 3D imaging platforms offer the option of automatic display of the mitral valve in a surgeon’s view format. By simply rotating the 3D “surgeon’s view” of the mitral valve, enface views from the left ventricular apex can be obtained, and provide an excellent perspective of the left ventricular outflow tract after appropriate image optimization (Fig. 2.15). The enface left ventricular view of the mitral valve closely resembles the interventional cardiologist’s fluoroscopic view.
3D/4D Zoom Dual layout (Philips and GE platforms) and 4D Dual view (Siemens) provide simultaneous enface views of both surfaces of the structure of interest (e.g. left atrial and left ventricular views of the mitral valve and left and right atrial views of the atrial septum) (Fig. 2.16). Dual Layout is also feasible with Full Volume acquisition including CFD (Fig. 2.16) on the Epic Philips 3D platforms. TrueVue (Philips Healthcare) provides a different perspective of the 3D image tissue characteristics by adjusting the position of a light source within the 3D volumetric data set (Figs. 2.17 and 2.18b). GlassVue (Philips Healthcare) with its internal light source provides more transparent 3D visualization of anatomy of interest thus allowing shapes and boundaries of intracardiac structures including soft tissues to be more easily seen (Fig. 2.18).
3DE Multiplanar Reconstruction
Multiplanar reconstruction (MPR) of 3D volume rendered data sets, analogous to its use in other imaging modalities such as CT and MRI, allows for viewing cardiac structures from any perspective, assessing cardiac pathology simultaneously in multiple planes, quantifying complex geometric lesions and flow, and obtaining measurements needed prior to structural heart interventions. Three crop planes color coded blue, red, and green (Philips Healthcare and Siemens Healthineers) and green, white, and yellow (GE Healthcare) form the basis for MPR. They can be orthogonal to each other in the default setting (3DQ Philips Healthcare) aligned parallel to one of the three primary planes of the heart (Fig. 2.7) analogous to Crop Box, and therefore, perpendicular to one of the three axes [elevation (z-axis), azimuthal (x-axis) or axial (y-axis)] in which the matrix transducer transmits and receives acoustic data. Accordingly, in 3DQ MPR, the coronal or frontal plane divides the heart into anterior and posterior portions and is color coded green, the sagittal or vertical plane divides the heart into right and left portions and is color coded red, and the transverse short-axis or depth plane divides the heart into superior and inferior portions and is color coded blue. The green, red and blue planes are perpendicular to the elevation or z-axis, the azimuthal or x-axis, and axial or y-axis respectively (Figs. 2.19, 2.20, and 2.21).
MPR crop planes and lines may be arbitrary however, with the crop direction of a color coded line/plane depending on the 2D image view from which the 3D volumetric data set is generated [MultiVue (Philips Healthcare) and FlexiSlice (GE Healthcare)] (Figs. 2.22, 2.23, and 2.24). MPR can be used in any 3D acquisition mode.
The availability of the MPR software on the machine allows for timely analysis of the 3D data set either in real time [MultiVue (Philips Healthcare) and Flexi-Slice (GE Health Care)] or after 3D data acquisition [post processing (Figs. 2.25 and 2.26)]. Real time Flexi-Slice or MultiVue can be very helpful during transcatheter interventions (see Chap. 33). iSlice (Philips Healthcare) or Multi-Slice (GE Healthcare and Philips Healthcare) enable simultaneous display of equidistant short axis views generated from a 3D volume acquisition, and are very useful for quantitation of left ventricular ejection fraction and regional wall motion analysis (Fig. 2.26).
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Maalouf, J.F., Faletra, F.F. (2022). Image Optimization Tools and Image Display. In: Maalouf, J.F., Faletra, F.F., Asirvatham, S.J., Chandrasekaran, K. (eds) Practical 3D Echocardiography. Springer, Cham. https://doi.org/10.1007/978-3-030-72941-7_2
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