In this paper we present a fully automated method for detection and segmentation of liver metastases on serial CT examinations (portal phase) given a 2D baseline segmentation mask. Our database contains 27 CT scans, baselines and follow-ups, of 12 patients and includes 22 test cases. Our method is based on the information given in the baseline CT scan which contains the lesion's segmentation ma...

Objective: The aim of this study was to evaluate the influences of reconstruction and attenuation correction on the differences in the radioactivity distributions in 123I brain SPECT obtained by the hybrid SPECT/CT device. Methods: We used the 3-dimensional (3D) brain phantom, which imitates the precise structure of gray mater, white matter and bone regions. It was filled with 123I solution (20...

BACKGROUND Computed Tomography (CT) has become a widely used supplement to medico legal autopsies at several forensic institutes. Amongst other things, it has proven to be very valuable in visualising fractures of the cranium. Also CT scan data are being used to create head models for biomechanical trauma analysis by Finite Element Analysis. If CT scan data are to be used for creating individua...

PURPOSE Since the first report of TRAM flap reconstruction, there have been numerous studies to reduce complications of elective breast reconstruction. Current methods of preoperative perforator localization can be time-consuming, inaccurate, and imprecise. Thus, we sought to evaluate ultra-high resolution 3D CT angiography for the preoperative mapping of DIEAP flap perforating vessels. METHO...

background: this study set out to evaluate the utility of cerebrovascular virtual non-contrast (vnc) scans. materials and methods: conventional non-contrast (cnc) and dual-energy computed tomography angiography (de-cta) head scans were conducted on 100 subjects, of which 46 were normal, 15 had parenchymal hematomas of the brain, 13 had ischemic infarction, 22 had tumors, and 4 had calcified les...

Statistical reconstruction for low-dose CT can provide desirable image quality, but the computational burden still remains a challenge, particularly for large 3D helical scans. Parallel computing can help reduce computation times, but simple parallelization methods for CT reconstruction can be hampered by relatively large data communication times between nodes that do not share memory. This pap...

abstract background cerebral neoplasm arises from brain, spinal cord and meningeal cells. not only malignant cerebral neoplasm also benign tumor could lead to death due to mass effect on vital structures. access to these tumors is difficult, and mri and ct scan could be helpful in determining anatomical location of tumors and distinction of malignant from benign. objective for better and earlie...