Middle and Inner Ear: Improved Depiction with Multiplanar Reconstruction of Volumetric CT Data

Radiographics ◽  
2006 ◽  
Vol 26 (1) ◽  
pp. 115-124 ◽  
Author(s):  
John I. Lane ◽  
E. Paul Lindell ◽  
Robert J. Witte ◽  
David R. DeLone ◽  
Colin L. W. Driscoll
Keyword(s):  
Inner Ear ◽  
Multiplanar Reconstruction ◽  
Volumetric Ct ◽  
Ct Data

scholarly journals Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image

2021 ◽  
Vol 12 (1) ◽  
pp. 34-45
Author(s):  
Gajendra Kumar Mourya ◽  
Manashjit Gogoi ◽  
S. N. Talbar ◽  
Prasad Vilas Dutande ◽  
Ujjwal Baid
Keyword(s):  
Evaluation System ◽  
Automatic Segmentation ◽  
Input Image ◽  
Liver Segmentation ◽  
Residual Network ◽  
Online Evaluation ◽  
Volumetric Ct ◽  
Ct Data ◽  
Symmetric Surface ◽  
Evaluation Parameters

Volumetric liver segmentation is a prerequisite for liver transplantation and radiation therapy planning. In this paper, dilated deep residual network (DDRN) has been proposed for automatic segmentation of liver from CT images. The combination of three parallel DDRN is cascaded with fourth DDRN in order to get final result. The volumetric CT data of 40 subjects belongs to “Combined Healthy Abdominal Organ Segmentation” (CHAOS) challenge 2019 is utilized to evaluate the proposed method. Input image converted into three images using windowing ranges and fed to three DDRN. The output of three DDRN along with original image fed to the fourth DDRN as an input. The output of cascaded network is compared with the three parallel DDRN individually. Obtained results were quantitatively evaluated with various evaluation parameters. The results were submitted to online evaluation system, and achieved average dice coefficient is 0.93±0.02; average symmetric surface distance (ASSD) is 4.89±0.91. In conclusion, obtained results are prominent and consistent.

Extraction and classification of 3D objects from volumetric CT data

2016 ◽  
Author(s):  
Samuel M. Song ◽  
Junghyun Kwon ◽  
Austin Ely ◽  
John Enyeart ◽  
Chad Johnson ◽  
...  
Keyword(s):  
3D Objects ◽  
Volumetric Ct ◽  
Ct Data

Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis—usefulness of density correction of volumetric CT data

2020 ◽  
Vol 125 (7) ◽  
pp. 625-635 ◽  
Author(s):  
Alessandra Farchione ◽  
Anna Rita Larici ◽  
Carlotta Masciocchi ◽  
Giuseppe Cicchetti ◽  
Maria Teresa Congedo ◽  
...  
Keyword(s):  
Image Analysis ◽  
Personalized Medicine ◽  
Quantitative Image Analysis ◽  
Survival Prediction ◽  
Density Correction ◽  
Quantitative Image ◽  
Technical Issues ◽  
Volumetric Ct ◽  
Ct Data

A computationally efficient method for automatic registration of orthogonal x-ray images with volumetric CT data

2008 ◽  
Vol 53 (4) ◽  
pp. 967-983 ◽  
Author(s):  
Xin Chen ◽  
Martin R Varley ◽  
Lik-Kwan Shark ◽  
Glyn S Shentall ◽  
Mike C Kirby
Keyword(s):  
Efficient Method ◽  
Automatic Registration ◽  
Computationally Efficient ◽  
X Ray ◽  
Volumetric Ct ◽  
Ct Data

Effects of defect pixel correction algorithms for x-ray detectors on image quality in planar projection and volumetric CT data sets

2015 ◽  
Vol 26 (9) ◽  
pp. 095406 ◽  
Author(s):  
Jan Kuttig ◽  
Christian Steiding ◽  
Martin Hupfer ◽  
Marek Karolczak ◽  
Daniel Kolditz
Keyword(s):  
Image Quality ◽  
Data Sets ◽  
X Ray ◽  
Volumetric Ct ◽  
Ct Data

Detection of the mandibular canal via shaded surface display and multiplanar reconstruction of CT data

2001 ◽  
Vol 28 (3) ◽  
pp. 243-256 ◽  
Author(s):  
P. SOLAR ◽  
A. GAHLEITNER ◽  
A. BEDNAR ◽  
S. RODINGER ◽  
G. WATZEK
Keyword(s):  
Surface Display ◽  
Mandibular Canal ◽  
Multiplanar Reconstruction ◽  
Ct Data

Detection of the mandibular canal via shaded surface display and multiplanar reconstruction of CT data

2001 ◽  
Vol 28 (3) ◽  
pp. 243-256
Author(s):  
P. SOLAR ◽  
A. GAHLEITNER ◽  
A. BEDNAR ◽  
S. RODINGER ◽  
G. WATZEK
Keyword(s):  
Surface Display ◽  
Mandibular Canal ◽  
Multiplanar Reconstruction ◽  
Ct Data

scholarly journals Computer-aided lymph node segmentation in volumetric CT data

2012 ◽  
Vol 39 (9) ◽  
pp. 5419-5428 ◽  
Author(s):  
Reinhard R. Beichel ◽  
Yao Wang
Keyword(s):  
Lymph Node ◽  
Computer Aided ◽  
Volumetric Ct ◽  
Ct Data
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