PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
Benchtop experiments have proven the utility of a stationary computed tomography (CT) scanner for head imaging. The purpose of this study was for system control development and integration in a clinical setting for clinical use and evaluation. Software and interfaces for technologist operation of the complete system during patient scanning were also developed. A clinical imaging bed was integrated with the x-ray control system with off-the-shelf microcontrollers to drive the development of the system for clinical evaluation. The clinical imaging system is composed of three carbon nanotube (CNT) x-ray source arrays and nine strip detectors. 135 projections are acquired per slice at 120kVp, 10mA, and 2.95ms exposure per projection. Anthropomorphic phantoms have been imaged in preparation for the first patients. Reconstruction was performed using adaptive steepest descent projection onto convex set (ASD-POCs) method. Scanner performance parameters were measured. Images are evaluated by neuroradiologists. A working stationary head CT (sHCT) system has been developed for patient imaging evaluation. Image quality is sufficient for starting the observational clinical trial as shown in images of the ACR accreditation phantom and KYOTO head phantoms. This preliminary study has shown that the sHCT system is ready for patient imaging studies. Clinical utility will be assessed in a patient study with patients with prior head trauma.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Alex Billingsley, Christina R. Inscoe, Shuang Xu, Derrek Spronk, Yueting Luo, Otto Zhou, Jianping Lu, Yueh Z. Lee, "Clinical developments of a stationary head CT using CNT x-ray source arrays," Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 124633Y (7 April 2023); https://doi.org/10.1117/12.2654486