A Wearable Ultrasound Methodology for Creating a Real Time Near 3D Model of the Heart Cardiovascular health is among one of the most important areas of the medical field today. Approximately 2,303 Americans die from cardiovascular disease (CVD) daily. By 2035, approximately 130 million Americans will be affected by CVD leading to an estimated 1.1 trillion in medical cost. The medical industry is steadily moving toward individual medicine. To provide assistance in the cardiovascular field, this paper presents a methodology for creating a real time near 3D model of the heart while accounting for the thoracic cage obstruction. That is, creating a partial 3D heart consisting of the apical and parasternal views that are viewable in real time on a monitor. We discuss a wearable vest consisting of eight ultrasound transducers in a 4x2 arrangement covering the parasternal and apical views of the human heart. The calculations for the overlap of each view and between both views are provided. Also, generalized formulas for the sequential activation of multiple ultrasound transducers with no overlap are given. The presented methodology is capable of real time near 3D modeling without constant attention from a medical professional where the final goal will be abnormality detection.

3D Hermite Transform Optical Flow Estimation in Left Ventricle CT Sequences Heart diseases are the most important causes of death in the world and over the years, thestudy of cardiac movement has been carried out mainly in two dimensions, however, it is important toconsider that the deformations due to the movement of the heart occur in a threedimensional space.The 3D  t analysis allows to describe most of the motions of the heart, for example, the twistingmotion that takes place on every beat cycle that allows us identifying abnormalities of the heartwalls. Therefore, it is necessary to develop algorithms that help specialists understand the cardiacmovement. In this work, we developed a new approach to determine the cardiac movement inthree dimensions using a differential optical flow approach in which we use the steered Hermitetransform (SHT) which allows us to decompose cardiac volumes taking advantage of it as a model ofthe human vision system (HVS). Our proposal was tested in complete cardiac computed tomography(CT) volumes ( 3D  t), as well as its respective left ventricular segmentation. The robustness tonoise was tested with good results. The evaluation of the results was carried out through errors inforwarding reconstruction, from the volume at time t to time t  1 using the optical flow obtained(interpolation errors). The parameters were tuned extensively. In the case of the 2D algorithm, theinterpolation errors and normalized interpolation errors are very close and below the values reportedin ground truth flows. In the case of the 3D algorithm, the results were compared with another similarmethod in 3D and the interpolation errors remained below 0.1. These results of interpolation errorsfor complete cardiac volumes and the left ventricle are shown graphically for clarity. Finally, a seriesof graphs are observed where the characteristic of contraction and dilation of the left ventricle isevident through the representation of the 3D optical flow.