Learn More
Our algorithm contains two major steps: the intervertebral disk localization step, and the vertebra detection and segmentation step. In the first step, we apply a model-based searching method to approximately locate all the intervertebral disk clues between adjacent vertebrae of the whole spine and the best slice selection. A new approach using an intensity(More)
BACKGROUND Bipolar I disorder is defined by the occurrence of mania. The presence of mania, coupled with a course of illness characterized by waxing and waning of affective symptoms, suggests that bipolar disorder arises from dysfunction of neural systems that maintain emotional arousal and homeostasis. We used functional magnetic resonance imaging (fMRI)(More)
OBJECTIVE To determine whether cortical changes occur following participation in a program of modified constraint-induced movement therapy (mCIMT). DESIGN Pre-post, case series. SETTING Outpatient rehabilitation hospital. PARTICIPANTS Two men and 2 women with unilateral stroke occurring more than 1 year prior to study entry and moderate stable motor(More)
AIMS Impulsivity is common in bipolar disorder, especially during mania. Understanding the functional neuroanatomy of response inhibition, one component of impulsivity, might clarify the neural substrate of bipolar disorder. METHODS Sixteen DSM-IV first-episode, manic bipolar patients and 16 matched healthy subjects were examined during a first manic(More)
PURPOSE Magnetic resonance T1 -weighted images are routinely used for human brain segmentation, brain parcellation, and clinical diagnosis of demyelinating diseases. Myelin is thought to influence the longitudinal relaxation commonly described by a mono-exponential recovery, although reports of bi-exponential longitudinal relaxation have been published. The(More)
The purpose of this work is to study computationally the possibility of the application of a hybrid active noise control technique for magnetic resonance imaging (MRI) acoustic noise reduction. A hybrid control system combined with both feedforward and feedback loops embedded is proposed for potential application on active MRI noise reduction. A set of(More)
Detecting brain structural changes from magnetic resonance (MR) images can facilitate early diagnosis and treatment of neurological and psychiatric diseases. Many existing methods require an accurate deformation registration, which is difficult to achieve and therefore prevents them from obtaining high accuracy. We develop a novel local feature based(More)
Discrete jumps in knowledge, as exemplified by single-trial learning, are critical to survival. Despite its importance, however, one-trial learning remains understudied. We sought to better understand the brain activity adaptations that track punctuated changes in associative knowledge by studying visual-motor associative learning with functional magnetic(More)
A general picture is presented of the implications for diffusion-weighted NMR signals of the parsimonious two-site-exchange (2SX) paradigm. In particular, it is shown that the diffusigraphic "shutter-speed," tau(-1) identical with |q(2)(D(A) - D(B))|, is a useful concept. The "wave-number" q has its standard definition (given in the text), and D(A) and D(B)(More)
UNLABELLED The use of mice with targeted gene deletions (knockouts [KOs]) provides an important tool to investigate the mechanisms underlying behavior, neuronal development, and the sequella of neuropsychiatric diseases. MRI has been used to image brain structural changes in KO mice but, to our knowledge, the feasibility of using PET to investigate brain(More)