OBJECTIVE Part of the planning and performance of neurosurgery consists of determining target areas, areas to be avoided, landmark areas, and trajectories, all of which are components of the surgical script. Nowadays, neurosurgeons have access to multimodal medical imaging to support the definition of the surgical script. The purpose of this paper is to present a software environment developed ...

OBJECTIVE to test the effect of a 16-week multimodal exercise program on neurocognitive and physical functioning and brain-derived neurotrophic factor (BDNF). DESIGN a single-blinded, parallel-group randomised controlled trial. SETTINGS university campus and community-based halls. SUBJECTS forty-nine women aged 65 to 75 years, with no cognitive impairment and not undertaking more than 1 h...

This paper is focused on multimodal and multidimensional image data registration: the three-dimensional retinal optical coherence tomographic (OCT) data and two-dimensional color images of fundus. The registration of these two modalities is not common in retinal image processing, but it might help to remove the moving artifacts in OCT and correct the true positions of acquired OCT scans on reti...

BACKGROUND To evaluate if an opiate sparing multimodal regimen of dexamethasone, gabapentin, ibuprofen and paracetamol had better analgesic effect, less side effects and was safe compared to a traditional morphine and paracetamol regimen after cardiac surgery. METHODS Open-label, prospective randomized controlled trial. 180 patients undergoing cardiac procedures through median sternotomy, wer...

Fluorescently labeled structures can be spectrally isolated and imaged at high resolution in living embryos by light sheet microscopy. Multimodal imaging techniques are now needed to put these distinct structures back into the context of the surrounding tissue. We found that the bright-field contrast of unstained specimens in a selective plane illumination microscopy (SPIM) setup can be exploit...

Fluorescently labeled structures can be spectrally isolated and imaged at high resolution in living embryos by light sheet microscopy. Multimodal imaging techniques are now needed to put these distinct structures back into the context of the surrounding tissue. We found that the bright-field contrast of unstained specimens in a selective plane illumination microscopy (SPIM) setup can be exploit...

A system capable of interpreting affect from a speaking face must recognise and fuse signals from multiple cues. Building such a system requires the integration of software components to perform tasks such as image registration, video segmentation, speech recognition and classification. Such software components tend to be idiosyncratic, purpose-built, and driven by scripts and textual configura...

Abstract Multimodal image registration is vital in Deep Brain Stimulation (DBS) surgery. DBS treats movement disorders by implanting a neurostimulator device the brain to deliver electrical impulses. Image between computed tomography (CT) and cone beam (CBCT) involves fusing images with specific field of view (FOV) visualize individual electrode contacts. This contains important information abo...

We present two new clustering algorithms for medical image segmentation based on the multimodal image registration and the information bottleneck method. In these algorithms, the histogram bins of two registered multimodal 3D-images are clustered by minimizing the loss of mutual information between them. Thus, the clustering of histogram bins is driven by the preservation of the shared informat...