3D image reconstruction in medicine and beyond

Bidaut, Luc (2014) 3D image reconstruction in medicine and beyond. Other. CERN Yellow Reports.

3D image reconstruction in medicine and beyond
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3d-image-reconstruction-in-medicine-and-beyond-cern- - Other

Item Type:Paper or Report (Other)
Item Status:Live Archive


In the medical field, 3D volumes are reconstructed mainly by tomographic techniques. Transmission or emission projection data sets are acquired and processed to reconstruct slices across the volume of interest, e.g., the patient's body. Although initially based on 2D acquisitions, current reconstruction techniques for emission modalities (e.g. PET) use more sensitive 3D acquisition data sets processed through modified or entirely original algorithms. Beyond the simple 3D imaging that single tomographies permit, multimodality approaches and equipment actually help reconstruction algorithms to perform better. Mixing these technical developments with complex clinical imaging protocols provides the foundation for a refined and open-ended multidimentional and multisensor approach to either diagnosis or therapy planning and follow-up.

Keywords:multimodality, 3D imaging
Subjects:F Physical Sciences > F350 Medical Physics
Divisions:College of Science > School of Computer Science
ID Code:30695
Deposited On:27 Nov 2018 09:46

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