Learn More
This paper applies and evaluates an automatic mutual information-based registration algorithm across a broad spectrum of multimodal volume data sets. The algorithm requires little or no pre-processing, minimal user input and easily implements either affine, i.e. linear or thin-plate spline (TPS) warped registrations. We have evaluated the algorithm in(More)
An automated multimodal warping based on mutual information metric (MI) as a mapping cost function is demonstrated. Mutual information (I) is calculated from a two-dimensional (2D) gray scale histogram of an image pair, and MI (= -I) provides a matching cost function which can be effective in registration of two- or three-dimensional data sets independent(More)
An automated retrospective image registration based on mutual information is adapted to a multislice functional magnetic resonance imaging (fMRI) acquisition protocol to provide accurate motion correction. Motion correction is performed by mapping each slice to an anatomic volume data set acquired in the same fMRI session to accommodate inter-slice head(More)
This study investigated the factor structure of the Brief Symptom Inventory (BSI; Derogatis, 1992) for adult and adolescent psychiatric inpatients. The BSI was administered to 217 adults and 188 adolescents at admission and discharge from a private psychiatric hospital. Principal components factor analyses revealed that most variance among dimension scores(More)
In this study the Brief Symptom Inventory (BSI; Derogatis & Spencer, 1982) was administered to 89 males and 128 females at admission and discharge from a private psychiatric hospital. For mean scores, statistically significant decreases were observed on all BSI scales and global indices. Effect sizes ranged from high medium to large. Also, when clinical(More)
Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD subtypes by image biomarkers are urgently needed to enable individualized treatment thus improving patient outcome. We adapted the Parametric Response Map (PRM), a voxel-wise image(More)