scholarly journals Investigation of the efficacy of a data-driven CT artifact correction scheme for sparse and truncated projection data for intracranial hemorrhage diagnosis

2021 ◽  
Author(s):  
Alexander R. Podgorsak ◽  
Mohammad Mahdi Shiraz Bhurwani ◽  
Ciprian N. Ionita
Keyword(s):  
Intracranial Hemorrhage ◽  
Data Driven ◽  
Projection Data ◽  
Artifact Correction ◽  
Correction Scheme ◽  
Ct Artifact

TH-C-BRD-06: A Novel MRI Based CT Artifact Correction Method for Improving Proton Range Calculation in the Presence of Severe CT Artifacts

2014 ◽  
Vol 41 (6Part32) ◽  
pp. 551-551
Author(s):  
P Park ◽  
E Schreibmann ◽  
T Fox ◽  
J Roper ◽  
E Elder ◽  
...  
Keyword(s):  
Correction Method ◽  
Artifact Correction ◽  
Ct Artifact ◽  
Range Calculation

CT artifact correction: an image-processing approach

1996 ◽  
Author(s):  
Hamid Soltanian-Zadeh ◽  
Joe P. Windham ◽  
Jalel Soltanianzadeh
Keyword(s):  
Image Processing ◽  
Artifact Correction ◽  
Processing Approach ◽  
Ct Artifact

scholarly journals Data‐driven synthetic MRI FLAIR artifact correction via deep neural network

2019 ◽  
Vol 50 (5) ◽  
pp. 1413-1423 ◽  
Author(s):  
Kanghyun Ryu ◽  
Yoonho Nam ◽  
Sung‐Min Gho ◽  
Jinhee Jang ◽  
Ho‐Joon Lee ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Data Driven ◽  
Artifact Correction ◽  
Synthetic Mri

Chemical-shift artifact correction scheme using echo-time encoding technique

1985 ◽  
Vol 2 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Z. H. Cho ◽  
O. Nalcioglu ◽  
H. W. Park ◽  
J. B. Ra ◽  
S. K. Hilal
Keyword(s):  
Chemical Shift ◽  
Artifact Correction ◽  
Chemical Shift Artifact ◽  
Correction Scheme ◽  
Time Encoding ◽  
Echo Time

scholarly journals Implementation and experimental evaluation of Mega-voltage fan-beam CT using a linear accelerator

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Hao Gong ◽  
Shengzhen Tao ◽  
Justin D. Gagneur ◽  
Wei Liu ◽  
Jiajian Shen ◽  
...  
Keyword(s):  
Calibration Curve ◽  
Linear Accelerator ◽  
Prediction Accuracy ◽  
Accurate Determination ◽  
Projection Data ◽  
Ct Number ◽  
Radiation Level ◽  
Artifact Correction ◽  
Imaging Device ◽  
Standard Clinical Practice

Abstract Background Mega-voltage fan-beam Computed Tomography (MV-FBCT) holds potential in accurate determination of relative electron density (RED) and proton stopping power ratio (SPR) but is not widely available. Objective To demonstrate the feasibility of MV-FBCT using a medical linear accelerator (LINAC) with a 2.5 MV imaging beam, an electronic portal imaging device (EPID) and multileaf collimators (MLCs). Methods MLCs were used to collimate MV beam along z direction to enable a 1 cm width fan-beam. Projection data were acquired within one gantry rotation and preprocessed with in-house developed artifact correction algorithms before the reconstruction. MV-FBCT data were acquired at two dose levels: 30 and 60 monitor units (MUs). A Catphan 604 phantom was used to evaluate basic image quality. A head-sized CIRS phantom with three configurations of tissue-mimicking inserts was scanned and MV-FBCT Hounsfield unit (HU) to RED calibration was established for each insert configuration using linear regression. The determination coefficient ($${R}^{2}$$ R 2 ) was used to gauge the accuracy of HU-RED calibration. Results were compared with baseline single-energy kilo-voltage treatment planning CT (TP-CT) HU-RED calibration which represented the current standard clinical practice. Results The in-house artifact correction algorithms effectively suppressed ring artifact, cupping artifact, and CT number bias in MV-FBCT. Compared to TP-CT, MV-FBCT was able to improve the prediction accuracy of the HU-RED calibration curve for all three configurations of insert materials, with $${R}^{2}$$ R 2 > 0.9994 and $${R}^{2}$$ R 2 < 0.9990 for MV-FBCT and TP-CT HU-RED calibration curves of soft-tissue inserts, respectively. The measured mean CT numbers of blood-iodine mixture inserts in TP-CT drastically deviated from the fitted values but not in MV-FBCT. Reducing the radiation level from 60 to 30 MU did not decrease the prediction accuracy of the MV-FBCT HU-RED calibration curve. Conclusion We demonstrated the feasibility of MV-FBCT and its potential in providing more accurate RED estimation.

Sign in / Sign up

Export Citation Format

Share Document