We introduce the concept of 4D model flow for the precomputed alignment of dynamic surface appearance across 4D video sequences of different motions reconstructed from multi-view video. Precomputed 4D model flow allows the efficient parametrization of surface appearance from the captured videos, which enables efficient real-time rendering of interpolated 4D video sequences whilst accurately rep...

We present a method that allows for reconstructing non-stationary, time-varying gas flows around moving objects. Our work extends the background oriented Schlieren tomography (3D-BOS) acquisition technique to capture gas flows also in the presence of occluding objects. An algorithm is presented that exploits the unique properties of BOS background patterns to robustly segment occluding objects....

Automated and accurate segmentation of the aorta in 4D (3D+time) cardiovascular magnetic resonance (MR) image data is important for early detection of congenital aortic disease leading to aortic aneurysms and dissections. An automated 4D segmentation method is reported in this study. Our automated segmentation method combines level-set and optimal surface segmentation algorithms so that the fin...

This paper reports on a pilot system for reconstruction and visualisation of complex spatio-temporal scenes by integrating two different types of data: outdoor 4D data measured by a rotating multi-beam LIDAR sensor, and 4D models of moving actors obtained in a 4D studio. A typical scenario is an outdoor scene with multiple walking pedestrians. The LIDAR monitors the scene from a fixed position ...

Introduction Patient set-up optimization is required in radiotherapy to fill the accuracy gap between personalized treatment planning and uncertainties in the irradiation set-up. In this study, we aimed to develop a new method based on neural network to estimate patient geometrical setup using 4-dimensional (4D) XCAT anthropomorphic phantom. Materials and Methods To access 4D modeling of motion...

PURPOSE To develop a technique for high resolution, four-dimensional (4D), multiphase, steady-state imaging with contrast enhancement (MUSIC) in children with complex congenital heart disease. METHODS Eight pediatric patients underwent cardiovascular MRI with controlled mechanical ventilation after ferumoxytol administration. Breath-held contrast-enhanced MRA (CE-MRA) was performed during the...

The purpose of this study was to quantify the performance and agreement between two different external surrogate acquisition systems: Varian's Real-Time Position Management (RPM) and Philips Medical Systems' pneumatic bellows, in the context of waveform and 4D CT image analysis. Eight patient displacement curves derived from RPM data were inputted into a motion platform with varying amplitudes ...

introduction patient set-up optimization is required in radiotherapy to fill the accuracy gap between personalized treatment planning and uncertainties in the irradiation set-up. in this study, we aimed to develop a new method based on neural network to estimate patient geometrical setup using 4-dimensional (4d) xcat anthropomorphic phantom. materials and methods to access 4d modeling of motion...