scholarly journals 3D-3D Tubular Organ Registration and Bifurcation Detection from CT Images

10.5772/7616 ◽  
2010 ◽  
Author(s):  
Jinghao Zhou ◽  
Sukmoon Chang ◽  
Dimitris Metaxas ◽  
Gig Mageras
Keyword(s):  
Ct Images ◽  
Bifurcation Detection ◽  
Organ Registration

scholarly journals An Unsupervised Learning-Based Multi-Organ Registration Method for 3D Abdominal CT Images

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6254
Author(s):  
Shaodi Yang ◽  
Yuqian Zhao ◽  
Miao Liao ◽  
Fan Zhang
Keyword(s):  
Computed Tomography ◽  
Unsupervised Learning ◽  
Medical Image ◽  
Ct Images ◽  
Abdominal Ct ◽  
Registration Method ◽  
Spatial Consistency ◽  
Net Framework ◽  
Organ Registration ◽  
Coarse To Fine

Medical image registration is an essential technique to achieve spatial consistency geometric positions of different medical images obtained from single- or multi-sensor, such as computed tomography (CT), magnetic resonance (MR), and ultrasound (US) images. In this paper, an improved unsupervised learning-based framework is proposed for multi-organ registration on 3D abdominal CT images. First, the explored coarse-to-fine recursive cascaded network (RCN) modules are embedded into a basic U-net framework to achieve more accurate multi-organ registration results from 3D abdominal CT images. Then, a topology-preserving loss is added in the total loss function to avoid a distortion of the predicted transformation field. Four public databases are selected to validate the registration performances of the proposed method. The experimental results show that the proposed method is superior to some existing traditional and deep learning-based methods and is promising to meet the real-time and high-precision clinical registration requirements of 3D abdominal CT images.

Dilatation of Hemashield prostheses – a new method for measuring the true prosthetic diameter based on ECG-gated multislice CT images

2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
M Hamiko ◽  
M Endlich ◽  
C Krämer ◽  
C Probst ◽  
A Welz ◽  
...  
Keyword(s):  
Multislice Ct ◽  
Ct Images ◽  
New Method

Fully automatic quotient image generation using V/Q SPECT/CT images

2019 ◽  
Author(s):  
K Herdinai ◽  
S Urbán ◽  
Z Besenyi ◽  
L Pávics ◽  
N Zsótér ◽  
...  
Keyword(s):  
Ct Images ◽  
Image Generation ◽  
Fully Automatic

Fully automatic lung lobe segmentation using V/Q SPECT/CT images

2020 ◽  
Author(s):  
A Király ◽  
S Urbán ◽  
Z Besenyi ◽  
L Pávics ◽  
N Zsótér ◽  
...  
Keyword(s):  
Ct Images ◽  
Lung Lobe ◽  
Fully Automatic ◽  
Lobe Segmentation

Pseudocolor Transformation for the Visualization of Stapes in CT Images

Skull Base ◽  
2007 ◽  
Vol 16 (S 2) ◽  
Author(s):  
Moon Suh Park ◽  
Jae Yong Byun ◽  
Seung Gun Yeo ◽  
Chang Il Cha
Keyword(s):  
Ct Images

Clinical Manifestations and Radiological Characteristics on Rosai-Dorfman Disease: A Retrospective Observational Study

2020 ◽  
Vol 5 (5) ◽  
Keyword(s):  
Blood Vessels ◽  
Abdominal Cavity ◽  
Clinical Manifestations ◽  
Ct Images ◽  
High Signal ◽  
Radiological Features ◽  
Imaging Characteristics ◽  
Rosai Dorfman Disease ◽  
Heterogeneous Enhancement ◽  
The Masses

Background and Objective: Rosai-Dorfman disease (RDD) are usually misdiagnosed because of rarity and nonspecific clinical and radiological features. The aim of our study is to explore the clinical and imaging characteristics of RDD to improve diagnostic accuracy. Methods: Clinical and imaging data in 10 patients with RDD were retrospectively analyzed. 7 patients were underwent CT scanning and 3 patients were underwent MR examination. Results: 8 (8/10) patients presented with painless enlarged lymph nodes (LNs) or mass. 3 cases were involved with LNs, 5 cases were involved with extra-nodal tissues, and the remaining 2 cases were involved with LNs and extra-nodal tissue simultaneously. In enhanced CT images, enlarged LNs displayed mild or moderate enhancement, and 2 cases showed heterogeneous ring-enhancement. MR features of 3 patients with extra-nodal RDD, 2 cases showed a mass located in the subcutaneous and anterior abdominal wall respectively, and 1 case showed an intracranial mass. Besides, all lesions showed high signal foci on DWI images, and were characterized by marked heterogeneous enhancement with blurred edge. The dural/fascia tail sign and dilated blood vessels could be seen around all the lesions on enhanced MRI. Radiological features of 2 cases with LN and extranodal tissue involved, one case presented with the swelling and thickening of pharyngeal lymphoid ring and nasopharynx, meanwhile with enlarged LNs in bilateral submandibular area, neck and abdominal cavity, and also companied with osteolytic lesion in right proximal humerus. All these LNs displayed mild and moderate enhancement on CT images. Another case showed enlarged LNs in bilateral neck accompanied with soft tissue mass in the sinuses. Conclusions: RDD occurred commonly in young and middle-aged men and presented with painless enlarged LNs or mass.RDD had a huge diversity of imaging findings, which varied with different location. The radiological features, such as small patches of high signal foci in the masses on DWI images, heterogeneous enhancement and blood vessels around the masses, are helpful in diagnosis of extranodal RDD.

CT Images of Gossypiboma

1994 ◽  
Vol 30 (4) ◽  
pp. 723 ◽  
Author(s):  
Hae Jeong Jeon ◽  
Jeong Hee Park ◽  
Young Chil Choi ◽  
Jong Nam Lira
Keyword(s):  
Ct Images
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