First Clinical Photon-counting Detector CT System: Technical Evaluation

Radiology ◽  
2021 ◽  
Author(s):  
Kishore Rajendran ◽  
Martin Petersilka ◽  
André Henning ◽  
Elisabeth R Shanblatt ◽  
Bernhard Schmidt ◽  
...  
Keyword(s):  
Photon Counting ◽  
Photon Counting Detector ◽  
Technical Evaluation ◽  
Ct System

scholarly journals A Universal Protocol for Abdominal CT Examinations Performed on a Photon-Counting Detector CT System

2020 ◽  
Vol 55 (4) ◽  
pp. 226-232
Author(s):  
Wei Zhou ◽  
Gregory J. Michalak ◽  
Jayse M. Weaver ◽  
Hao Gong ◽  
Lifeng Yu ◽  
...  
Keyword(s):  
Photon Counting ◽  
Abdominal Ct ◽  
Photon Counting Detector ◽  
Ct System ◽  
Universal Protocol

scholarly journals Evaluation of conventional imaging performance in a research whole-body CT system with a photon-counting detector array

2016 ◽  
Vol 61 (4) ◽  
pp. 1572-1595 ◽  
Author(s):  
Zhicong Yu ◽  
Shuai Leng ◽  
Steven M Jorgensen ◽  
Zhoubo Li ◽  
Ralf Gutjahr ◽  
...  
Keyword(s):  
Photon Counting ◽  
Detector Array ◽  
Whole Body ◽  
Conventional Imaging ◽  
Photon Counting Detector ◽  
Whole Body Ct ◽  
Ct System ◽  
Imaging Performance ◽  
Body Ct

scholarly journals Feasibility study of portable multi-energy computed tomography with photon-counting detector for preclinical and clinical applications

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chang-Lae Lee ◽  
Key Jo Hong ◽  
Namwoo Kim ◽  
Kwanhee Han ◽  
Dongkyu Kim ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Spatial Resolution ◽  
Liver Tumors ◽  
Photon Counting ◽  
Clinical Applications ◽  
Tissue Segmentation ◽  
Post Contrast ◽  
Photon Counting Detector ◽  
Ct System

AbstractIn this study, preclinical experiments were performed with an in-house developed prototypal photon-counting detector computed tomography (PCD CT) system. The performance of the system was compared with the conventional energy-integrating detector (EID)-based CT, concerning the basic image quality biomarkers and the respective capacities for material separation. The pre- and the post-contrast axial images of a canine brain captured by the PCD CT and EID CT systems were found to be visually similar. Multi-energy images were acquired using the PCD CT system, and machine learning-based material decomposition was performed to segment the white and gray matters for the first time in soft tissue segmentation. Furthermore, to accommodate clinical applications that require high resolution acquisitions, a small, native, high-resolution (HR) detector was implemented on the PCD CT system, and its performance was evaluated based on animal experiments. The HR acquisition mode improved the spatial resolution and delineation of the fine structures in the canine’s nasal turbinates compared to the standard mode. Clinical applications that rely on high-spatial resolution expectedly will also benefit from this resolution-enhancing function. The results demonstrate the potential impact on the brain tissue segmentation, improved detection of the liver tumors, and capacity to reconstruct high-resolution images both preclinically and clinically.

X-ray Transmittance Modeling-based Material Decomposition using a Photon-counting Detector CT System

2020 ◽  
pp. 1-1
Author(s):  
Okkyun Lee ◽  
Kishore Rajendran ◽  
Christoph Polster ◽  
Karl Stierstorfer ◽  
Steffen Kappler ◽  
...  
Keyword(s):  
Photon Counting ◽  
Material Decomposition ◽  
X Ray ◽  
Photon Counting Detector ◽  
Ct System
Sign in / Sign up

Export Citation Format

Share Document