the authors present a case of embryonal rhabdomyosarcoma of the middle ear in an adult patient. computerized tomography indicated a malignant tumor and the diagnosis was confirmed by pathological analysis.

Image restoration is a classical area of digital image processing, appearing in many applications such as remote sensing, medical imaging, astronomy or computerized tomography (González & Woods, 2007). Simply put, the aim is to recover an original image which has been degraded due to the imperfections in the acquisition system: blurring and noise. Restoring this degradation leads to an ill-pose...

A new method for compensating motion artifacts in computerized tomography is presented. The algorithm operates on the raw data, that is, on the measured Radon transform. An edge detection is performed on the Radon transform image. Two curves are obtained from these edges, which are tted by a polynomial. The pointwise diierences between the edges of the Radon transform image and the tted curves ...

Gene expression tomography, or GET, is a new method to increase the speed of three-dimensional (3-D) gene expression analysis in the brain. The name is evocative of the method's dual foundations in high-throughput gene expression analysis and computerized tomographic image reconstruction, familiar from techniques such as positron emission tomography (PET) and X-ray computerized tomography (CT)....

Computerized tomography (CT) plays an important role in medical imaging, especially for diagnosis and therapy. However, higher radiation dose from CT will result in increasing of radiation exposure in the population. Therefore, the reduction of radiation from CT is an essential issue. Expectation maximization (EM) is an iterative method used for CT image reconstruction that maximizes the likeli...

The tasks of image reconstruction from measured data and the analysis of the so produced images are more or less strictly separated. One group computes by applying reconstruction algorithms the images, the other starts out of that by operating on these images to enhance the analysis. First attempts, in a non systematic way, are known, as Lambda tomography or Tikhonov Phillips methods with `1 – ...

We present a region-based image retrieval framework for multi-modality, positron emission tomography computed tomography (PET-CT), images. An image retrieval system can be used to assist the diagnostic process, by providing reference cases that contain similar scans to the interpreting clinicians. PET-CT scans are essential tools for the accurate staging of lung cancer and provide co-registered...

As the nondestructive testing method based on industrial computerized tomography (ICT) is widely used in solid rocket motor (SRM) propellant defect detection, demand for a corresponding image processing algorithm increasing. In order to extract better information SRM propellants, we studied edge detection their ICT images. This paper proposes guided filter-based images of propellants with much ...

conclusion no significant differences were found among observers or voxel sizes, with high az results reported for all groups. results no significant differences were found among observers or voxel sizes, with high average z (az) results being reported for all groups. both intra- and inter-observer agreement values were relatively better for 3d accuitomo 170 images than the images from newtom 3...