Knowledge-based automatic detection of multitype lung nodules from multidetector CT studies

2002 ◽  
Author(s):  
JianZhong Qian ◽  
Li Fan ◽  
Guo-Qing Wei ◽  
Carol L. Novak ◽  
Benjamin L. Odry ◽  
...  
Keyword(s):  
Multidetector Ct ◽  
Automatic Detection ◽  
Lung Nodules ◽  
Knowledge Based ◽  
Ct Studies

scholarly journals 3D convolutional neural network for automatic detection of lung nodules in chest CT

2017 ◽  
Author(s):  
Sardar Hamidian ◽  
Berkman Sahiner ◽  
Nicholas Petrick ◽  
Aria Pezeshk
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Automatic Detection ◽  
Chest Ct ◽  
Lung Nodules

A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images

2015 ◽  
Vol 10 (11) ◽  
pp. 1737-1752 ◽  
Author(s):  
Abhishek Gupta ◽  
Om Prakash Kharbanda ◽  
Viren Sardana ◽  
Rajiv Balachandran ◽  
Harish Kumar Sardana
Keyword(s):  
Automatic Detection ◽  
Knowledge Based

Algorithms for automatic detection of lung nodules in CT scans

2011 ◽  
Author(s):  
Maria Evelina Fantacci ◽  
Niccolo Camarlinghi ◽  
Roberto Bellotti ◽  
Gianfranco Gargano ◽  
Rosario Megna ◽  
...  
Keyword(s):  
Automatic Detection ◽  
Ct Scans ◽  
Lung Nodules

scholarly journals Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Ayman El-Baz ◽  
Ahmed Elnakib ◽  
Mohamed Abou El-Ghar ◽  
Georgy Gimel'farb ◽  
Robert Falk ◽  
...  
Keyword(s):  
Template Matching ◽  
Automatic Detection ◽  
Spiral Ct ◽  
Lung Nodules ◽  
Data Sets ◽  
Genetic Optimization ◽  
Anatomical Structures ◽  
Lung Abnormalities ◽  
Ct Data ◽  
2D And 3D

Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities (nodules) from spiral chest low-dose CT (LDCT) scans. The proposed algorithm consists of three main steps. The first step isolates the lung nodules, arteries, veins, bronchi, and bronchioles from the surrounding anatomical structures. The second step detects lung nodules using deformable 3D and 2D templates describing typical geometry and gray-level distribution within the nodules of the same type. The detection combines the normalized cross-correlation template matching and a genetic optimization algorithm. The final step eliminates the false positive nodules (FPNs) using three features that robustly define the true lung nodules. Experiments with 200 CT data sets show that the proposed approach provided comparable results with respect to the experts.

The three sisters:multidetector computed tomography and 3D reconstructions of three sister mummies from the Egyptian Museum of Turin

2005 ◽  
Vol 80 (1) ◽  
Author(s):  
Federico Cesarani ◽  
Maria Cristina Martina ◽  
Rosa Boano ◽  
Anna Maria Donadoni Roveri ◽  
Andrea Ferraris ◽  
...  
Keyword(s):  
Soft Tissues ◽  
Multidetector Ct ◽  
Whole Body ◽  
3D Reconstructions ◽  
Whole Body Ct ◽  
Foreign Objects ◽  
Thin Slices ◽  
Similarities And Differences ◽  
Three Sisters ◽  
Ct Studies

The “three sisters” is a particular group of mummies from the Drovetti collection of the Egyptian Museum in Turin. They were purchased in 1824 by King Carlo Felice of Savoy for the new Museum. The mummies come from the area of Tebe in Upper Egypt. Their names are Tapeni (CGT 13002–Cat. 2215), Tamiu (CGT 13003–Cat. 2218), and Renpetnefert (CGT 13007–Cat.2231). They were evaluated the same day with multidetector CT (GE Light Speed Qx/I). In all three cases whole body CT helical acquisition with thin slices (2.5 mm thickness, 1.25 mm reconstruction interval) followed by multiplanar and 3D reconstructions were performed. Stature, anthropometric measurements, sex, and approximate age, were estimated. Also embalming techniques, condition of the skeleton and of the soft tissues, and the presence of foreign objects were analyzed. The similarities and differences of embalming methods were also evaluated. To our knowledge, there are no other reports of CT studies on mummies belonging to the same family. We believe these results are of particular interest for archaeology and computed imaging technology.

Radiation dose from multidetector CT studies in children: results from the first Italian nationwide survey

2014 ◽  
Vol 45 (5) ◽  
pp. 695-705 ◽  
Author(s):  
Claudio Granata ◽  
Daniela Origgi ◽  
Federica Palorini ◽  
Domenica Matranga ◽  
Sergio Salerno
Keyword(s):  
Radiation Dose ◽  
Multidetector Ct ◽  
Nationwide Survey ◽  
Ct Studies
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