Mohammad AlkhatibSIGMA Clermont · Mechanical Engineering
Mohammad Alkhatib
Professor
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9
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Publications (9)
Microscale robots introduce great perspectives into many medical applications such as drug delivery, minimally invasive surgery, and localized biometric diagnostics. Fully automatic microrobots' real-time detection and tracking using medical imagers are actually investigated for future clinical translation. Ultrasound (US) B-mode imaging has been e...
Micro-scale robots introduce great prospective into many different medical applications such as targeted drug delivery, minimally invasive surgery and localized bio-metric diagnostics. This research presents a method for object detection and tracking system of a chain-like magnetic microsphere robots using ultrasound imaging in an in-vitro environm...
Ultrasound-guided regional anesthesia (UGRA) is becoming a powerful technique in surgical procedures and pain management. However, the UGRA procedure requires a long learning process and years of experience. Robotic aids are already used in medical assistance and show their enormous impact. For this, robotic UGRA could be of great help in helping a...
Ultrasound-guided regional anesthesia (UGRA) becomes a standard procedure in surgical operations and contributes to pain management; it offers the advantages of the needle and targeted nerve detection and provides the visualization of regions of interest such as anatomical structures. In UGRA, the remote center of motion (RCM) constitutes an essent...
Ultrasound-guided regional anesthesia (UGRA) becomes a standard procedure in surgical operations and pain management, offers the advantages of nerve localization, and provides region of interest anatomical structure visualization. Nerve tracking presents a crucial step for practicing UGRA and it is useful and important to develop a tool to facilita...
Texture is an important characteristic for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the most efficient texture descriptors yet. However, LBP has some notable limitations, in particular its sensitivity to noise. In this paper, we address these criteria by introducing a novel texture descriptor...
Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. However, LBP has some notable limitations, mostly the sensitivity to noise. In this paper, we address these criteria by introducing a novel texture descriptor, Robust Adaptive...
In the last decade, Ultrasound-Guided Regional Anesthesia (UGRA) gained
importance in surgical procedures and pain management, due to its ability to
perform target delivery of local anesthetics under direct sonographic visualization.
However, practicing UGRA can be challenging, since it requires high
skilled and experienced operator. Among the diff...