Region of interest processing for iterative reconstruction in x-ray computed tomography
Kopp FK, Nasirudin RA, Mei K, Fehringer A, Pfeiffer F, Rummeny EJ, Noel PB (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: SPIE
Book Volume: 9412
Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Event location: Orlando, FL, USA
ISBN: 9781628415025
DOI: 10.1117/12.2081911
Abstract
The recent advancements in the graphics card technology raised the performance of parallel computing and contributed to the introduction of iterative reconstruction methods for x-ray computed tomography in clinical CT scanners. Iterative maximum likelihood (ML) based reconstruction methods are known to reduce image noise and to improve the diagnostic quality of low-dose CT. However, iterative reconstruction of a region of interest (ROI), especially ML based, is challenging. But for some clinical procedures, like cardiac CT, only a ROI is needed for diagnostics. A high-resolution reconstruction of the full field of view (FOV) consumes unnecessary computation effort that results in a slower reconstruction than clinically acceptable. In this work, we present an extension and evaluation of an existing ROI processing algorithm. Especially improvements for the equalization between regions inside and outside of a ROI are proposed. The evaluation was done on data collected from a clinical CT scanner. The performance of the different algorithms is qualitatively and quantitatively assessed. Our solution to the ROI problem provides an increase in signal-to-noise ratio and leads to visually less noise in the final reconstruction. The reconstruction speed of our technique was observed to be comparable with other previous proposed techniques. The development of ROI processing algorithms in combination with iterative reconstruction will provide higher diagnostic quality in the near future.
Involved external institutions
Germany (DE)How to cite
APA:
Kopp, F.K., Nasirudin, R.A., Mei, K., Fehringer, A., Pfeiffer, F., Rummeny, E.J., & Noel, P.B. (2015). Region of interest processing for iterative reconstruction in x-ray computed tomography. In Christoph Hoeschen, Despina Kontos, Christoph Hoeschen (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Orlando, FL, USA: SPIE.
MLA:
Kopp, Felix K., et al. "Region of interest processing for iterative reconstruction in x-ray computed tomography." Proceedings of the Medical Imaging 2015: Physics of Medical Imaging, Orlando, FL, USA Ed. Christoph Hoeschen, Despina Kontos, Christoph Hoeschen, SPIE, 2015.
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