Medical image fusion plays an important role in clinical applications such as image-guided surgery, image-guided radiotherapy, noninvasive diagnosis, and treatment planning. In order to retain useful information and get more reliable results, a novel medical image fusion algorithm based on pulse coupled neural networks (PCNN) and multi-feature fuzzy clustering is proposed, which makes use of th...

BACKGROUND Autologous bone harvested from the iliac crest is the gold standard for lumbar spinal fusion. However postoperative donor site pain and morbidity have been reported. Local bone graft is insufficient and contains some soft-tissue attachment. Therefore, Healos (DePuy Spine, Raynham, MA, USA) is currently bone graft substitute that was introduced for spinal fusion with good results but ...

Background/aim: This study was performed to show the efficacy of in situ local autograft with a comparison of in situ local autograft, local autograft with allograft, and local autograft with posterior iliac crest autograft.Materials and methods: In this prospective randomized study, a total of 65 adolescent idiopathic scoliosis (AIS) patients were separated into 3 groups: Group 1 using local a...

Wireless sensor networks (WSNs) are usually utilized to perform decision fusion of event detection. Current decision fusion schemes are based on binary valued decision and do not consider bursty contextcapture. However, bursty context and multi-valued data are important characteristics of WSNs. One on hand, the local decisions from sensors usually have bursty and contextual characteristics. Fus...

This paper presents a novel expression recognition method based on global and local features with decision-level fusion. We first extract Local Directional Pattern (LDP) global features of the whole face which can guarantee basic expression difference and decrease the influence of no-facial region meanwhile, then the Local Directional Pattern Variance (LDPv) descriptor is used to extract local ...

Image fusion is the task of enhancing the perception of a scene by combining information captured by different imaging sensors. A critical issue in the design of image fusion algorithms is to define activity measures that can evaluate and compare the local information content of multiple images. In doing so, existing methods share a common assumption that high local energy or contrast is a dire...

STUDY DESIGN  Systematic review. Study rationale and context:  Bone graft from the iliac crest has been the gold standard in posterolateral spinal fusion procedures, but is associated with chronic pain at the harvest site. Bone graft harvested locally from the spine and combined with extenders may decrease the morbidity associated with iliac graft harvest, but questions remain on the success of...

A distributed detection and decision fusion scheme is proposed for a wireless sensor network (WSN) consisting of a large number of sensors. At the fusion center, the total number of detections reported by local sensors are employed for hypothesis testing. Based on the assumption that the received signal power decays as the distance from the target increases, system level detection performance m...

in this article, a new method for fusion of high resolution optical and radar data for higher quality road extraction is presented. the proposed methodology consists of two stages of separate road detection from each data and knowledge based fusion of results. neural networks are separately applied on high resolution ikonos and terrasar-x images for road detection, using a variety of texture pa...

Two problems occur when bundle adjustment (BA) is applied on long image sequences : the large calculation time and the drift (or error accumulation). In recent work, the calculation time is reduced by local BAs applied in an incremental scheme. The drift may be reduced by fusion of GPS and Structure-from-Motion. An existing fusion method is BA minimizing a weighted sum of image and GPS errors. ...