.css-1xsl8rf{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;position:relative;overflow:hidden;background:var(--alert-bg);-webkit-padding-start:var(--chakra-space-4);padding-inline-start:var(--chakra-space-4);-webkit-padding-end:var(--chakra-space-4);padding-inline-end:var(--chakra-space-4);padding-top:var(--chakra-space-1);padding-bottom:var(--chakra-space-1);--alert-fg:var(--chakra-colors-orange-600);--alert-bg:var(--chakra-colors-orange-100);font-weight:var(--chakra-fontWeights-semibold);padding-left:var(--chakra-space-4);}.chakra-ui-dark .css-1xsl8rf:not([data-theme]),[data-theme=dark] .css-1xsl8rf:not([data-theme]),.css-1xsl8rf[data-theme=dark]{--alert-fg:var(--chakra-colors-orange-200);--alert-bg:rgba(251, 211, 141, 0.16);}@media screen and (min-width: 48em){.css-1xsl8rf{padding-left:var(--chakra-space-8);}}Please enable Javascript to use all features and improve your user experience.

Eposter presentation
PP23.03

Optimization of smoothing kernel length, projection tolerance and angle rebin for data driven iterative image reconstruction with motion compensation for head computed tomography

Appointment

Date: 13/09/2024

Time: 14:08 – 14:12

Talk time: 3 Min.

Discussion time: 1 Min.

Location / Stream:

Poster Terminal 1 (ground floor)

Poster

Optimization of smoothing kernel length, projection tolerance and angle rebin for data driven iterative image reconstruction with motion compensation for head computed tomography

Session

Diagnostic and interventional radiology IV

Topics

Artificial intelligence
Diagnostic and interventional radiology

Authors

Dr. Afshan Ashfaq (Marburg / DE), Prof. Dr. Markus Luster (Marburg / DE), Prof. Dr. Roger Fulton (Sydney / AU)