Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art

Hatamikia S, Biguri A, Herl G, Kronreif G, Reynolds T, Kettenbach J, Russ T, Tersol A, Maier A, Figl M, Siewerdsen JH, Birkfellner W (2022)

Publication Type: Journal article, Review article

Publication year: 2022

Journal

Physics in Medicine and Biology IOP Publishing

Book Volume: 67

Journal Issue: 16

DOI: 10.1088/1361-6560/ac8590

Abstract

Cone-beam computed tomography (CBCT) imaging is becoming increasingly important for a wide range of applications such as image-guided surgery, image-guided radiation therapy as well as diagnostic imaging such as breast and orthopaedic imaging. The potential benefits of non-circular source-detector trajectories was recognized in early work to improve the completeness of CBCT sampling and extend the field of view (FOV). Another important feature of interventional imaging is that prior knowledge of patient anatomy such as a preoperative CBCT or prior CT is commonly available. This provides the opportunity to integrate such prior information into the image acquisition process by customized CBCT source-detector trajectories. Such customized trajectories can be designed in order to optimize task-specific imaging performance, providing intervention or patient-specific imaging settings. The recently developed robotic CBCT C-arms as well as novel multi-source CBCT imaging systems with additional degrees of freedom provide the possibility to largely expand the scanning geometries beyond the conventional circular source-detector trajectory. This recent development has inspired the research community to innovate enhanced image quality by modifying image geometry, as opposed to hardware or algorithms. The recently proposed techniques in this field facilitate image quality improvement, FOV extension, radiation dose reduction, metal artifact reduction as well as 3D imaging under kinematic constraints. Because of the great practical value and the increasing importance of CBCT imaging in image-guided therapy for clinical and preclinical applications as well as in industry, this paper focuses on the review and discussion of the available literature in the CBCT trajectory optimization field. To the best of our knowledge, this paper is the first study that provides an exhaustive literature review regarding customized CBCT algorithms and tries to update the community with the clarification of in-depth information on the current progress and future trends.

Authors with CRIS profile

Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Medizinische Universität Wien AT Austria (AT) Austrian Center for Medical Innovation and Technology (ACMIT) AT Austria (AT) Johns Hopkins University (JHU) US United States (USA) (US) Ruprecht-Karls-Universität Heidelberg DE Germany (DE) University of Sydney (USYD) AU Australia (AU) Deggendorf Institute of Technology DE Germany (DE) University of Cambridge GB United Kingdom (GB) Landesklinikum Wiener Neustadt AT Austria (AT)

How to cite

APA:

Hatamikia, S., Biguri, A., Herl, G., Kronreif, G., Reynolds, T., Kettenbach, J.,... Birkfellner, W. (2022). Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art. Physics in Medicine and Biology, 67(16). https://dx.doi.org/10.1088/1361-6560/ac8590

MLA:

Hatamikia, S., et al. "Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art." Physics in Medicine and Biology 67.16 (2022).

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