Evaluation of a commercial Model Based Iterative reconstruction algorithm in computed tomography

1st European Congress of Medical Physics September 1–4, 2016; Medical Physics innovation and vision within Europe and beyond

“…Recently, iterative reconstruction algorithms were introduced to reduce image noise and obtain dose reduction without compromising the diagnostic performance. In this respect, Paruccini N. et al [15] investigated the effect of model-based iterative reconstruction IMR algorithm in CT in terms of image quality and patient dose. They reported an averaged noise reduction, better Low Contrast Detectability, an improvement of the MTF, and a dose reduction, when adopting the IMR routine.…”

“…EFOMP had joint sessions with the following organiza- comprised a series of lectures, practical demonstrations and discussions, and addressed important aspects of the applications of the QUAADRIL methodologies in diagnostic radiology; particularly focusing on the production of the Quality Manual. Fifteen [15] delegates participated, with a mixture of radiologists, radiographers, and medical physicists. The last day of the workshop, IAEA experts participated in a dedicated IAEA special session, which was included in the EFOMP Congress.…”

Tradeoff between noise reduction and inartificial visualization in a model-based iterative reconstruction algorithm on coronary computed tomography angiography

“…[ 8 – 10 ] Veo (GE Healthcare, Waukesha, WI) and IMR (Philips Healthcare, Cleveland, OH) are examples of model-based IR. [ 10 – 12 ] Previous studies reported that the model-based IR drastically reduced image noise of low-radiation-dose CT with preserved image quality. [ 10 , 11 ] Model-based IR iteratively minimizes the cost function; the process consists of 2 domains: the projection data and volume data (regularization).…”

“…In simple terms, the projection data and volume data domains control the spatial resolution and image noise, respectively, giving rise to a tradeoff relationship between inartificial visualization and noise reduction. [ 12 – 14 ] The forward-projected model-based IR solution (FIRST) technique was developed as a model-based IR by Canon Medical Systems, and it has 2 types of IR settings for coronary CTA: FIRST “body” (FIRST-B) and FIRST “cardiac sharp” (FIRST-CS) settings, focusing on noise reduction and spatial resolution, respectively. [ 8 , 9 , 15 ] Previous studies have suggested that the CT image quality under a model-based IR algorithm may be affected by several factors, including contrast, radiation dose, and lesion size.…”

Tailoring protocols for chest CT applications: when and how?

“…These reconstruction modalities use maximum likelihood algorithms and are referred to as iterative reconstructions (IRs). IR algorithms have been recently introduced in clinical practice because they improve image quality and dose reduction (9).…”