AIMC Topic: Tomography, X-Ray Computed

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Robotic assisted laparoscopic repair of a symptomatic ureterosciatic hernia.

The Canadian journal of urology
Ureterosciatic hernias (USH) are a rare entity and to date there have been limited case reports detailing their presentation, diagnosis, and management. Until recently, repair of ureterosciatic hernias has been performed via open, endoscopic, or pure...

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

Medical physics
PURPOSE: The authors are developing a computerized system for bladder segmentation in CT urography (CTU) as a critical component for computer-aided detection of bladder cancer.

Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.

Medical physics
PURPOSE: In an attempt to overcome several hurdles that exist in organ segmentation approaches, the authors previously described a general automatic anatomy recognition (AAR) methodology for segmenting all major organs in multiple body regions body-w...

Reducing streak artifacts in computed tomography via sparse representation in coupled dictionaries.

Medical physics
PURPOSE: Reducing the number of acquired projections is a simple and efficient way to reduce the radiation dose in computed tomography (CT). Unfortunately, this results in streak artifacts in the reconstructed images that can significantly reduce the...

Automated fluence map optimization based on fuzzy inference systems.

Medical physics
PURPOSE: The planning of an intensity modulated radiation therapy treatment requires the optimization of the fluence intensities. The fluence map optimization (FMO) is many times based on a nonlinear continuous programming problem, being necessary fo...

Feature-Motivated Simplified Adaptive PCNN-Based Medical Image Fusion Algorithm in NSST Domain.

Journal of digital imaging
Multimodality medical image fusion plays a vital role in diagnosis, treatment planning, and follow-up studies of various diseases. It provides a composite image containing critical information of source images required for better localization and def...

Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography.

Journal of computer assisted tomography
OBJECTIVE: The aim of this study was to evaluate the accuracy of fully automated machine learning methods for detecting intravenous contrast in computed tomography (CT) studies of the abdomen and pelvis.

Automatic anatomy recognition in whole-body PET/CT images.

Medical physics
PURPOSE: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease conditions, especially cancer. Body-wide accurate quantification of disease burden in PET/CT images is...

Medical image segmentation via atlases and fuzzy object models: Improving efficacy through optimum object search and fewer models.

Medical physics
PURPOSE: Statistical object shape models (SOSMs), known as probabilistic atlases, are popular in medical image segmentation. They register an image into the atlas coordinate system, such that a desired object can be delineated from the constraints of...