Characterization of healthy and osteoarthritic chondrocyte cell patterns on phase contrast CT images of the knee cartilage matrix

2012 ◽  
Author(s):  
Mahesh B. Nagarajan ◽  
Paola Coan ◽  
Markus B. Huber ◽  
Chien-Chun Yang ◽  
Christian Glaser ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Ct Images ◽  
Cartilage Matrix ◽  
Knee Cartilage ◽  
Cell Patterns ◽  
Contrast Ct

Comparison of phase contrast CT images for different tumor tissues

2013 ◽  
Author(s):  
Chenglin Liu ◽  
Hua Xu ◽  
Xiaohua Wang ◽  
Dongming Zhang ◽  
Xinyi Zhang ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Ct Images ◽  
Tumor Tissues ◽  
Contrast Ct

scholarly journals Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography

2015 ◽  
Author(s):  
Anas Z. Abidin ◽  
Mahesh B. Nagarajan ◽  
Walter A. Checefsky ◽  
Paola Coan ◽  
Paul C. Diemoz ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Phase Contrast ◽  
Cartilage Matrix ◽  
X Ray ◽  
Patellar Cartilage ◽  
X Ray Computed

Computed Tomography for the Diagnosis and Characterization of Dermoid Sinuses in Two Dogs

2019 ◽  
Vol 55 (4) ◽  
Author(s):  
Susan Jones ◽  
Christopher Adin ◽  
Elizabeth Thompson ◽  
Ian Robertson ◽  
Rudy Rivas
Keyword(s):  
Computed Tomography ◽  
Phase Contrast ◽  
Single Phase ◽  
Surgical Excision ◽  
Surgical Exploration ◽  
Dermoid Sinus ◽  
Thoracolumbar Region ◽  
Contrast Ct ◽  
Invasive Diagnostics

ABSTRACT A 6 mo old male castrated bloodhound–Rhodesian ridgeback mix (case 1) presented for a mass suspected to be a dermoid sinus in the thoracolumbar region, and a 2.5 yr old male castrated Rhodesian ridgeback (case 2) presented for a mass suspected to be a dorsal cervical dermoid sinus. Both dogs underwent single-phase contrast computed tomography (CT) to characterize the extent of the dermoid sinus prior to surgical excision. Soft tissue and bony abnormalities of the vertebral spine associated with the dermoid sinuses were confirmed in both dogs prior to surgery, demonstrating communication with the dura of the spinal cord. Surgical exploration and excision of the dermoid sinus was performed in each dog, including partial laminectomy. Both cases had resolution of the sinus and an uncomplicated recovery. These cases show that single-phase contrast CT was accurate in characterizing the extent of the dermoid sinus without adjunctive tests or more invasive diagnostics. Single-phase contrast CT should be considered as a preoperative method to characterize the extent of dermoid sinuses, avoiding the risks associated with myelography or fistulography and the expense of MRI. This is also the first report of a dermoid sinus in the thoracolumbar region and the first in a bloodhound and Rhodesian ridgeback mix.

Assessment of Myofiber Orientation in High Resolution Phase-Contrast CT Images

2015 ◽  
pp. 111-119 ◽  
Author(s):  
V. Baličević ◽  
S. Lončarić ◽  
R. Cárdenes ◽  
A. Gonzalez-Tendero ◽  
B. Paun ◽  
...  
Keyword(s):  
High Resolution ◽  
Phase Contrast ◽  
Ct Images ◽  
Contrast Ct

scholarly journals Characterizing healthy and osteoarthritic knee cartilage on phase contrast CT with geometric texture features

2013 ◽  
Author(s):  
Mahesh B. Nagarajan ◽  
Paola Coan ◽  
Markus B. Huber ◽  
Paul C. Diemoz ◽  
Christian Glaser ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Texture Features ◽  
Knee Cartilage ◽  
Osteoarthritic Knee ◽  
Contrast Ct

Characterization of Ischemic Stroke in CT Images using Image Processing

2017 ◽  
Vol 7 (9) ◽  
pp. 18
Author(s):  
Amal Alzain ◽  
Suhaib Alameen ◽  
Rani Elmaki ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Ischemic Stroke ◽  
White Matter ◽  
Classification Accuracy ◽  
Ct Images ◽  
Gray Level ◽  
Level Variation ◽  
Interactive Data ◽  
The Brain ◽  
Brain Tissues

This study concern to characterize the brain tissues to ischemic stroke, gray matter, white matter and CSF using texture analysisto extract classification features from CT images. The First Order Statistic techniques included sevenfeatures. To find the gray level variation in CT images it complements the FOS features extracted from CT images withgray level in pixels and estimate the variation of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level of images. The results show that the Gray Level variation and   features give classification accuracy of ischemic stroke 97.6%, gray matter95.2%, white matter 97.3% and the CSF classification accuracy 98.0%. The overall classification accuracy of brain tissues 97.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate brain tissues names.

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