Projection-based dynamic tomography.
Clément JailinStephane RouxDavid SarrutSimon RitPublished in: Physics in medicine and biology (2021)
Objective. This paper proposes a 4D dynamic tomography framework that allows a moving sample to be imaged in a tomograph as well as the associated space-time kinematics to be measured with nothing more than a single conventional x-ray scan.Approach. The method exploits the consistency of the projection/reconstruction operations through a multi-scale procedure. The procedure is composed of two main parts solved alternatively: a motion-compensated reconstruction algorithm and a projection-based measurement procedure that estimates the displacement field directly on each projection.Main results. The method is applied to two studies: a numerical simulation of breathing from chest computed tomography (4D-CT) and a clinical cone-beam CT of a breathing patient acquired for image guidance of radiotherapy. The reconstructed volume, initially blurred by the motion, is cleaned from motion artifacts.Significance. Applying the proposed approach results in an improved reconstruction quality showing sharper edges and finer details.
Keyphrases
- image quality
- dual energy
- computed tomography
- positron emission tomography
- cone beam
- minimally invasive
- deep learning
- high speed
- magnetic resonance imaging
- contrast enhanced
- machine learning
- early stage
- high resolution
- locally advanced
- squamous cell carcinoma
- radiation therapy
- quality improvement
- case control
- rectal cancer