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Online X-ray radiation dose optimization in repeat CT scanning

Ponente: Leo Joskowicz
Institución: The Hebrew University of Jerusalem, Israel
Tipo de Evento: Investigación, Divulgación
Cuándo 05/09/2017
de 12:00 a 13:00
Dónde Auditorio "Alfonso Nápoles Gándara"
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Computer Tomography (CT) is nowadays pervasive and plays a central role in all
aspects of patient care. The main disadvantage of CT imaging is that it exposes the
patient to a substantial amount of ionizing radiation may be harmful to the patient. Much
research has been recently devoted to develop methods to achieve diagnostic image
quality with the lowest possible radiation dose. Repeat CT scanning, in which a patient
is scanned some time after a baseline scan was acquired, presents significant, untapped
opportunities for dose reduction and optimization.

In this talk, we will present a new computational paradigm for on-line radiation dose
optimization in repeat CT scanning. The key principle is to use the information of the
baseline scan during repeat scanning to significantly reduce the radiation dose without
image quality loss. Our approach is unique in that it formulates radiation dose reduction
as an adaptive sinogram construction optimization problem in 3D Radon space instead
of an image reconstruction problem in image space. We will describe novel methods for
registration of the baseline scan to the patient, for low-dose repeat scanning with no
information loss, and for and needle tracking in interventional CT.

Joint work with Guy Medan and Naomi Shamul-Kessler

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