EP-1743: Compilation of a database for illustration and automated detection of 4DCT motion artifacts

Wulfhekel, E.; Grohmann, Carsten; Gauer, Tobias; Werner, René

doi:10.1016/s0167-8140(15)31861-2

Cited by 5 publications

(3 citation statements)

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“…All 4D CT use cases have in common that their reliability depends on 4D CT image quality and the absence of motion artifacts [ 6 , 7 , 10 , 11 ]. However, in agreement with earlier publications [ 12 ], a retrospective analysis of our in-house 4D CT database of more than 50 patients treated between 2012 and 2014 revealed a fraction of 75% of the images being subject to artifacts [ 13 ], and consequently still motivates improving existing 4D CT reconstruction.…”

Section: Introductionsupporting

confidence: 89%

Reduction of breathing irregularity-related motion artifacts in low-pitch spiral 4D CT by optimized projection binning

et al. 2017

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BackgroundRespiration-correlated CT (4D CT) is the basis of radiotherapy treatment planning of thoracic and abdominal tumors. Current clinical 4D CT images suffer, however, from artifacts due to unfulfilled assumptions concerning breathing pattern regularity. We propose and evaluate modifications to existing low-pitch spiral 4D CT reconstruction protocols to counteract respective artifacts.MethodsThe proposed advanced reconstruction (AR) approach consists of two steps that build on each other: (1) statistical analysis of the breathing signal recorded during CT data acquisition and extraction of a patient-specific reference breathing cycle for projection binning; (2) incorporation of an artifact measure into the reconstruction. 4D CT data of 30 patients were reconstructed by standard phase- and local amplitude-based reconstruction (PB, LAB) and compared with images obtained by AR. The number of artifacts was evaluated and artifact statistics correlated to breathing curve characteristics.ResultsAR reduced the number of 4D CT artifacts by 31% and 27% compared to PB and LAB; the reduction was most pronounced for irregular breathing curves.ConclusionsWe described a two-step optimization of low-pitch spiral 4D CT reconstruction to reduce artifacts in the presence of breathing irregularity and illustrated that the modifications to existing reconstruction solutions are effective in terms of artifact reduction.Electronic supplementary materialThe online version of this article (doi:10.1186/s13014-017-0835-7) contains supplementary material, which is available to authorized users.

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Section: Introductionsupporting

confidence: 89%

Reduction of breathing irregularity-related motion artifacts in low-pitch spiral 4D CT by optimized projection binning

et al. 2017

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“…13 of 15 scans (~85%) showed obvious artifacts. In a more recent retrospective analysis of 50 patients who received a 4DCT, Wulfhekel et al [25] also reported that 75% of the images were corrupted by artifacts. Comparing these numbers with those obtained in the present study, a significant improvement in image quality was achieved by i4DCT, especially when taking into account that, in contrast to previously published results, the expert rating was only performed for patients with pronounced breathing irregularity.…”

Section: Discussionmentioning

confidence: 99%

First clinical evaluation of breathing controlled four-dimensional computed tomography imaging

Szkitsak¹,

Werner²,

Fernolendt³

et al. 2021

Physics and Imaging in Radiation Oncology

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“…A primary contributor to these phase errors is the difficulty in consistently adhering to reference breathing patterns, especially when scans encompass the entire length of the lungs and liver. Patients, particularly those undergoing radiation therapy or diagnostic imaging, often need to control their breath or maintain a consistent breathing pattern during scans to obtain precise images capturing the dynamic motion of tumors and surrounding tissues [6][7][8][9]. However, adherence to these patterns becomes more…”

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confidence: 99%

Improving the Feasibility of Mitigating Phase Errors in 4DCT caused by a Random Reference Breathing Pattern in the Quasar Phantom and the Role of Slice Thickness

Balakrishnan,

Ramesh Babu

2024

Asian Pac J Cancer Prev

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Purpose: The study aimed to validate a method for minimizing phase errors by combining full-length lung 4DCT (f4DCT) scans with shorter tumor-restricted 4DCT (s4DCT) scans. It assessed the feasibility of integrating two scans one covering the entire phantom length and the other focused on the tumor area. The study also evaluated the impact of Maximum Intensity Projection (MIP) volume and imaging dose for different slice thicknesses (2.5mm and 1.25mm) in both full-length and short target-restricted 4DCT scans. Methods: The study utilized the Quasar Programmable Respiratory Motion Phantom, simulating tumor motion with a variable lung insert. The setup included a tumor replica and a six-dot IR reflector marker on the breathing platform. The objective was to analyze volume differences in fMIP_2.5mm compared to sMIP_1.25mm within their respective 4D_MIP CT series. This involved varying breathing periods (2.5s, 3.0s, 4.0s, and 5.0s) and longitudinal tumor sizes (6mm, 8mm, and 10mm). The study also assessed exposure time and expected CTDIvol of s4D_2.5mm and s4D_1.25mm for different breathing periods (5.0s to 2.0s) in the sinusoidal wave motion of the six-dot marker on the breathing platform. Results: Conducting two consecutive 4DCT scans is viable for patients with challenging breathing patterns or when the initial lung tumor scan is in close proximity to the tumor location, eliminating the need for an additional full-length 4DCT. The analysis involves assessing MIP volume, imaging dose (CTDIvol), and exposure time. Longitudinal tumor shifts for 6mm are [16.6-17.2] in fMIP_2.5mm and [16.8-17.5] in sMIP_1.25mm, for 8mm [17.2-18.3] in fMIP_2.5mm and [17.8-18.4] in sMIP_1.25mm, and for 10mm [19-19.9] in fMIP_2.5mm and [19.4-20] in sMIP_1.25mm (p≥ 0.005), respectively. Conclusion: The Quasar Programmable Respiratory Motion Phantom accurately replicated varied breathing patterns and tumor motions. Comprehensive analysis was facilitated through detailed manual segmentation of Internal Target Volumes and Internal Gross Target Volumes.

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EP-1743: Compilation of a database for illustration and automated detection of 4DCT motion artifacts

Cited by 5 publications

References 0 publications

Reduction of breathing irregularity-related motion artifacts in low-pitch spiral 4D CT by optimized projection binning

Reduction of breathing irregularity-related motion artifacts in low-pitch spiral 4D CT by optimized projection binning

First clinical evaluation of breathing controlled four-dimensional computed tomography imaging

Improving the Feasibility of Mitigating Phase Errors in 4DCT caused by a Random Reference Breathing Pattern in the Quasar Phantom and the Role of Slice Thickness

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