AIMC Topic: Imaging, Three-Dimensional

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Robot-assisted total hip arthroplasty.

Expert review of medical devices
Precise and accurate biomechanical reconstruction during total hip arthroplasty (THA) is essential for durable long-term survivorship. Accurate fit of cementless hip implants is also crucial to reduce micromotion between the bone-implant interfaces t...

Image quality and effective dose of a robotic flat panel 3D C-arm vs computed tomography.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The aim of this study was to determine the effective dose and corresponding image quality of different imaging protocols of a robotic 3D flat panel C-arm in comparison to computed tomography (CT).

Modeling 3D Environments through Hidden Human Context.

IEEE transactions on pattern analysis and machine intelligence
The idea of modeling object-object relations has been widely leveraged in many scene understanding applications. However, as the objects are designed by humans and for human usage, when we reason about a human environment, we reason about it through ...

Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.

Computational and mathematical methods in medicine
Identification and detection of dendritic spines in neuron images are of high interest in diagnosis and treatment of neurological and psychiatric disorders (e.g., Alzheimer's disease, Parkinson's diseases, and autism). In this paper, we have proposed...

Can shoulder joint reaction forces be estimated by neural networks?

Journal of biomechanics
To facilitate the development of future shoulder endoprostheses, a long term load profile of the shoulder joint is desired. A musculoskeletal model using 3D kinematics and external forces as input can estimate the mechanical load on the glenohumeral ...

A Robotic Ultrasound Scanner for Automatic Vessel Tracking and Three-Dimensional Reconstruction of B-Mode Images.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Locating and evaluating the length and severity of a stenosis is very important for planning adequate treatment of peripheral arterial disease (PAD). Conventional ultrasound (US) examination cannot provide maps of entire lower limb arteries in 3-D. W...

Fully automatized renal parenchyma volumetry using a support vector machine based recognition system for subject-specific probability map generation in native MR volume data.

Physics in medicine and biology
In epidemiological studies as well as in clinical practice the amount of produced medical image data strongly increased in the last decade. In this context organ segmentation in MR volume data gained increasing attention for medical applications. Esp...

Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments.

IEEE transactions on neural networks and learning systems
Target search in 3-D underwater environments is a challenge in multiple autonomous underwater vehicles (multi-AUVs) exploration. This paper focuses on an effective strategy for multi-AUV target search in the 3-D underwater environments with obstacles...

Hybrid RGSA and Support Vector Machine Framework for Three-Dimensional Magnetic Resonance Brain Tumor Classification.

TheScientificWorldJournal
A novel hybrid approach for the identification of brain regions using magnetic resonance images accountable for brain tumor is presented in this paper. Classification of medical images is substantial in both clinical and research areas. Magnetic reso...

Dense soft tissue 3D reconstruction refined with super-pixel segmentation for robotic abdominal surgery.

International journal of computer assisted radiology and surgery
PURPOSE: Single-incision laparoscopic surgery decreases postoperative infections, but introduces limitations in the surgeon's maneuverability and in the surgical field of view. This work aims at enhancing intra-operative surgical visualization by exp...