MR-only radiotherapy treatment planning requires accurate MR-to-CT synthesis. Current deep learning methods for MR-to-CT synthesis depend on pairwise aligned MR and CT training images of the same patient. However, misalignment between paired images could lead to errors in synthesized CT images. To overcome this, we propose to train a generative adversarial network (GAN) with unpaired MR and CT ...

SUMMARY Advances in neonatal neuroimaging have improved detection of preterm brain injury responsible for abnormal neuromotor and cognitive development. Increasingly sophisticated MR imaging setups allow scanning during early preterm life. In this review, we investigated how brain MR imaging in preterm infants should be timed to best predict long-term outcome. Given the strong evidence that str...

This paper proposes a temporally-consistent and spatially-adaptive longitudinal MR brain image segmentation algorithm, referred to as CLASSIC, which aims at obtaining accurate measurements of rates of change of regional and global brain volumes from serial MR images. The algorithm incorporates image-adaptive clustering, spatiotemporal smoothness constraints, and image warping to jointly segment...

It is well known that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ances...


 In present study, a reference based technique has been proposed to segment mid- brain structures in 3D Magnetic Resonance (MR) images using multi-resolution non-rigid registration. The scheme segmented the mid-brain two stages. During first stage, target image was registered an already while second segmentation information mapped from medical image. Using this scheme, aim nine including ...

PURPOSE To evaluate the feasibility of a technique of MR-guided stereotactic radio frequency ablation, which was developed as a minimally invasive treatment for brain tumors, and to determine MR characteristics and sequential evolution of radio frequency lesions created to ablate brain tumors. METHODS Fourteen lesions in 12 patients with primary and metastatic brain tumors were treated with t...

The purpose of this study was to describe the pattern of diffuse enhancement seen on contrast-enhanced MR images in patients with subacute infarction. A retrospective study of 104 patients with the diagnosis of stroke who had undergone contrast-enhanced MR scanning within2 weeks of the inciting neurological event revealed 66 patients who demonstrated different patterns of contrast-enhanceme...

Mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) syndrome is a rare congenital disorder of mitochondrial DNA, presenting a wide range of clinical symptoms comprising headaches, seizures, aphasia, hearing loss, visual defects, and hemiparesis. Herein we report a case of a previously asymptomatic 40-year-old male who presented with recurrent headache, seiz...

PURPOSE To investigate the feasibility of performing multisection proton MR spectroscopy in patients with acute stroke, and to determine whether this imaging technique can depict ischemic or infarcted brain regions. METHODS Multisection proton MR spectroscopy, MR imaging, and MR angiography were performed within 24 hours of stroke onset (mean, 12 hours) in 12 patients who had had a stroke of ...

The existence of isoelectric variants of bovine brain and human placental choline acetyltransferase was confirmed by chromatofocusing. The identification of molecular weight variants (bovine brain, Mr = 68,000 and 63,000; human placental, Mr = 66,000 and 64,000) was also demonstrated using sodium dodecyl sulfate-polyacrylamide gel electrophoresis followed by "Western blotting" and immunochemica...