Introducing the The Collaborative Computational Project in Tomographic Imaging Core Imaging Library.
|Dates:||25 January 2022|
|Times:||11:00 - 12:00|
|What is it:||Webinar|
|Organiser:||The University of Manchester at Harwell|
|Who is it for:||University staff, External researchers, Adults, Current University students|
|Speaker:||Dr Edoardo Pasca|
The Collaborative Computational Project in Tomographic Imaging (CCPi) Core Imaging Library (CIL) is a versatile Python package for tomographic imaging intended for CT experimentalists to easily access optimised standard algorithms, create bespoke pipelines to handle novel imaging rigs, dynamic, hyperspectral, non standard scan geometry, to name a few. CIL is also intended for imaging specialists to allow the creation of novel reconstruction algorithms and assess them against established ones.
CIL seamlessly handles the CT pipeline from loading data from common lab X-Ray CT machines, as NIKON or ZEISS, to FDK or iterative reconstruction. CIL also provides utilities for visualisation and exploration of the data.
In this seminar, Dr Edoardo Pasca will talk about some examples of applications of the methods available with CIL.
This is the tenth seminar in The University of Manchester at Harwell Ideas Forum Imaging series. The aim of this series is to increase networking of academics and researchers across the Faculty of Science and Engineering and the National Laboratories. In doing so, we hope to share expertise and support new collaborations and grant applications.
This seminar will be recorded and available to watch after the event. A zoom link will be sent to attendees the day before the seminar.
Dr Edoardo Pasca
Role: Senior Visualisation Scientist
Organisation: Science and Technology Facilities Council
Travel and Contact Information