Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

A novel method is introduced for the generation of landmarks for three-dimensional (3-D) shapes and the construction of the corresponding 3-D statistical shape models. Automatic landmarking of a set of manual segmentations from a class of shapes is achieved by 1) construction of an atlas of the class, 2) automatic extraction of the landmarks from the atlas, and 3) subsequent propagation of these landmarks to each example shape via a volumetric nonrigid registration technique using multiresolution B-spline deformations. This approach presents some advantages over previously published methods: it can treat multiple-part structures and requires less restrictive assumptions on the structure's topology. In this paper, we address the problem of building a 3-D statistical shape model of the left and right ventricle of the heart from 3-D magnetic resonance images. The average accuracy in landmark propagation is shown to be below 2.2 mm. This application demonstrates the robustness and accuracy of the method in the presence of large shape variability and multiple objects.     

Automatic tracking of the aorta in cardiovascular MR images usingdeformable models

Presents a new algorithm for the robust and accurate tracking of the aorta in cardiovascular magnetic resonance (MR) images. First, a rough estimate of the location and diameter of the aorta is obtained by applying a multiscale medial-response function using the available a priori knowledge. Then, this estimate is refined using an energy-minimizing deformable model which the authors define in a Markov-random-field (MRF) framework. In this context, the authors propose a global minimization technique based on stochastic relaxation. Simulated annealing (SA), which is shown to be superior to other minimization techniques, for minimizing the energy of the deformable model. The authors have evaluated the performance and robustness of the algorithm on clinical compliance studies in cardiovascular MR images. The segmentation and tracking has been successfully tested in spin-echo MR images of the aorta. The results show the ability of the algorithm to produce not only accurate, but also very reliable results in clinical routine applications     

Hemodynamic patterns and duration of post-dynamic exercise hypotension in hypertensive humans

It has been shown, that smoking results in a lower yield of surfactant associated phospholipids in bronchoalveolar lavage (BAL). Indirect evidence suggests impaired secretion. In the present study, we investigated the influence of cigarette smoke on surfactant secretion in cultured rat alveolar type II cells. Smoke exposure was achieved by bubbling the smoke of four cigarettes through Dulbecco's modified Eagle's medium (DMEM) which was adjusted to a reference absorption value of 1.36 at 320 nm. Cells were preincubated with various dilutions of cigarette smoke-treated medium for 30 min, and were then exposed to this medium for 2 h. After this time, secretion of 3H-choline-labelled phosphatidylcholine (PC) was measured as a marker of surfactant secretion. A 10 fold dilution of cigarette smoke-treated medium inhibited PC secretion stimulated by a combination of terbutaline, adenosine triphosphate and 12-O-tetradecanoylphorbol-13-acetate by over 50%, but did not alter basal secretion. Exposure to less concentrated cigarette smoke-treated medium resulted in less inhibition. Cellular injury was not observed with the concentrations of cigarette smoke-treated medium used in this study. The gas phase of cigarette smoke was not inhibitory at comparable concentrations. Longer exposure to cigarette smoke-treated medium resulted in increased inhibition of PC secretion. The cigarette smoke ingredients, nicotine and benzo[a]pyrene, failed to inhibit PC secretion. Secretion of type II cells exposed to cigarette smoke-treated medium at lower temperatures was not affected. Addition of antioxidants to medium and cells during the preincubation and secretion period did not alter cigarette smoke-treated medium-induced inhibition of stimulated PC secretion. These results demonstrate a direct inhibitory effect of cigarette smoke constituents on surfactant secretion in type II cells. Inhibition is mediated by compounds contained predominantly in the particulate phase of cigarette smoke. Inactivation of the inhibitory effect by lower temperatures suggests involvement of processes such as enzymatic bioactivation or active transport mechanisms.     

Automatic quantification of changes in bone in serial MR images of joints

Recent innovations in drug therapies have made it highly desirable to obtain sensitive biomarkers of disease progression that can be used to quantify the performance of candidate disease modifying drugs. In order to measure potential image-based biomarkers of disease progression in an experimental model of rheumatoid arthritis (RA), we present two different methods to automatically quantify changes in a bone in in-vivo serial magnetic resonance (MR) images from the model. Both methods are based on rigid and nonrigid image registration to perform the analysis. The first method uses segmentation propagation to delineate a bone from the serial MR images giving a global measure of temporal changes in bone volume. The second method uses rigid body registration to determine intensity change within a bone, and then maps these into a reference coordinate system using nonrigid registration. This gives a local measure of temporal changes in bone lesion volume. We detected significant temporal changes in local bone lesion volume in five out of eight identified candidate bone lesion regions, and significant difference in local bone lesion volume between male and female subjects in three out of eight candidate bone lesion regions. But the global bone volume was found to be fluctuating over time. Finally, we compare our findings with histology of the subjects and the manual segmentation of bone lesions.     

Probabilistic movement primitives under unknown system dynamics

Physical interaction requires robots to accurately follow kinematic trajectories while modulating the interaction forces to accomplish tasks and to be safe to the environment. However, current approaches rely on accurate physical models or iterative learning approaches. We present a versatile approach for physical interaction tasks, based on Movement Primitives (MPs) that can learn physical interaction tasks solely by demonstrations, without explicitly modeling the robot or the environment. We base our approach on the Probabilistic Movement Primitives (ProMPs), which utilizes the variance of the demonstrations to provide better generalization of the encoded skill, combine skills, and derive a controller that follows exactly the encoded trajectory distribution. However, the ProMP controller requires the system dynamics to be known. We present a reformulation of the ProMPs that allows accurate reproduction of the skill without modeling the system dynamics and, further, we extent our approach to incorporate external sensors, as for example, force/torque sensors. Our approach learns physical interaction tasks solely from demonstrations and online adapts the movement to force–torque sensor input. We derive a variable-stiffness controller in closed form that reproduces the trajectory distribution and the interaction forces present in the demonstrations. We evaluate our approach in simulated and real-robot tasks.     

Nonrigid registration using free-form deformations: application tobreast MR images

In this paper we present a new approach for the nonrigid registration of contrast-enhanced breast MRI. A hierarchical transformation model of the motion of the breast has been developed. The global motion of the breast is modeled by an affine transformation while the local breast motion is described by a free-form deformation (FFD) based on B-splines. Normalized mutual information is used as a voxel-based similarity measure which is insensitive to intensity changes as a result of the contrast enhancement. Registration is achieved by minimizing a cost function, which represents a combination of the cost associated with the smoothness of the transformation and the cost associated with the image similarity. The algorithm has been applied to the fully automated registration of three-dimensional (3-D) breast MRI in volunteers and patients. In particular, we have compared the results of the proposed nonrigid registration algorithm to those obtained using rigid and affine registration techniques. The results clearly indicate that the nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.     

Intelligent memories in VLSI

A concept of an intelligent memory, called an adaptive associative system (AAS), is described from the system level down to the device level. The performance of an AAS is discussed by means of computer simulations in regard to text processing and pattern recognition, especially such outstanding features as fault tolerance, semantic association, autosegmentation, and self-organization of information. The system concept of such a memory is rendered adequate for the VLSI technique by partitioning into repetitive memory units and by introducing a nonvolatile memory cell. The importance of interaction in realizing an AAS as a microelectronic component is pointed out for both system design and VLSI technology.     

Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging

Aggression research does not lack data--it lacks a model for integrating data. One of the problems confronting aggression researchers is the extensive body of multidisciplinary data that is difficult to synthesize to generate new directions in research. This paper proposes one solution that starts by asking "what is the minimal number of categories of concepts and measurements which are necessary to describe a person?". The answer is four categories of concepts: biological; cognitive; behavioral; environmental (physical and social). One way of many for integrating these four categories of concepts is a proposed discipline neutral heuristic model that is used herein to compare two different research approaches to the study of impulsive aggression. This comparison identifies clearly the differences in the two approaches with regard to different emphases among the four categories of constructs for each program. Using the model an example of common ground between the two approaches is sought as a basis for extending aggression research. The main conclusion of one of the research programs was that central nervous arousal is related to impulsive aggression. This program demonstrated that phenytoin will reduce impulsive aggressive acts and has an effect on CNS arousal. The other research program on impulsive aggression has been at the forefront in demonstrating the well established inverse relationship between serotonin levels and aggression. The comparison resulted in the suggestion that both serotonin and phenytoin may relate to a common neurochemical substrate which interacts in part to control CNS arousal, especially at the cortical level. The proposed heuristic model made obvious the need to use synthesizing concepts (e.g. information processing or language) which can interrelate multidisciplinary concepts and data from different research programs within the four categories of constructs when comparing interdisciplinary research.     

Registration and tracking to integrate X-ray and MR images in an XMR facility

We describe a registration and tracking technique to integrate cardiac X-ray images and cardiac magnetic resonance (MR) images acquired from a combined X-ray and MR interventional suite (XMR). Optical tracking is used to determine the transformation matrices relating MR image coordinates and X-ray image coordinates. Calibration of X-ray projection geometry and tracking of the X-ray C-arm and table enable three-dimensional (3-D) reconstruction of vessel centerlines and catheters from bi-plane X-ray views. We can, therefore, combine single X-ray projection images with registered projection MR images from a volume acquisition, and we can also display 3-D reconstructions of catheters within a 3-D or multi-slice MR volume. Registration errors were assessed using phantom experiments. Errors in the combined projection images (two-dimensional target registration error--TRE) were found to be 2.4 to 4.2 mm, and the errors in the integrated volume representation (3-D TRE) were found to be 4.6 to 5.1 mm. These errors are clinically acceptable for alignment of images of the great vessels and the chambers of the heart. Results are shown for two patients. The first involves overlay of a catheter used for invasive pressure measurements on an MR volume that provides anatomical context. The second involves overlay of invasive electrode catheters (including a basket catheter) on a tagged MR volume in order to relate electrophysiology to myocardial motion in a patient with an arrhythmia. Visual assessment of these results suggests the errors were of a similar magnitude to those obtained in the phantom measurements.