Review
Engineering, Biomedical
Andre Z. Kyme, Roger R. Fulton
Summary: Patient motion affects SPECT, PET, and CT imaging by causing projection data inconsistencies, leading to reconstruction artifacts and compromised image quality. Methods to estimate and correct for motion in these modalities have been developed over decades, with ongoing efforts to improve clinical feasibility and utility. Further developments in data-driven methods, including the use of deep learning, hold promise for enhancing clinical utility in motion estimation and correction.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Michael Lauria, Ruvini Navaratna, Dylan O'Connell, Anand Santhanam, Percy Lee, Daniel A. Low
Summary: Overall, the study found a strong correlation between diaphragm motion and the abdominal bellows signal, indicating that the torso surface can be used as an accurate surrogate for breathing. However, the accuracy varied across the surface and from patient to patient, highlighting the need for caution when using the surface as a surrogate. Future studies will explore algorithms that utilize the entire chest for more reliable results.
Article
Environmental Sciences
Lijun Bu, Yongzhong Zhu, Yijun Chen, Xiaoou Song, Yufei Yang, Yadan Zang
Summary: This paper proposes a method for extracting micro-motion features of spinning targets with multiple scattering points based on VEMW radar. By eliminating linear Doppler shift and separating angular Doppler shift, more accurate rotation parameters can be obtained.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sergej Lebedev, Eric Fournie, Joscha Maier, Karl Stierstorfer, Marc Kachelriess
Summary: This study proposes a motion compensation method for correcting motion artifacts of cardiac valves. The method utilizes partial angle reconstructions and a cost function incorporating image entropy to approximate cardiac motion. By introducing characteristic values and penalties for velocity and spatial derivatives, the method maintains anatomically realistic motion fields. The results show consistent removal of motion artifacts and improved image quality.
Article
Radiology, Nuclear Medicine & Medical Imaging
Joscha Maier, Sergej Lebedev, Julien Erath, Elias Eulig, Stefan Sawall, Eric Fournie, Karl Stierstorfer, Michael Lell, Marc Kachelriess
Summary: Deep PAMoCo is a method for estimating and compensating coronary artery motion, which uses a deep neural network to enhance computational performance and quality of motion-compensated reconstructions. The results demonstrate that Deep PAMoCo can effectively remove motion artifacts and improve the diagnostic value of cardiac CT scans, outperforming other approaches in terms of processing time and accuracy.
Article
Engineering, Biomedical
Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas Maier
Summary: In this paper, the authors extend the differentiable formulation of CT fan-beam reconstruction to the acquisition geometry to improve the quality of reconstruction. They demonstrate that by using a trained neural network to parameterize the cost function, the motion compensation algorithm can be optimized. The proposed method also has potential applications in other areas.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Optics
Zhou Ge, Yizhao Gao, Hayden K-H So, Edmund Y. Lam
Summary: Micro motion estimation is crucial in various fields, and conventional methods analyze motion from intensity images. Event-based sensors can record asynchronous light changes with high dynamic range, high temporal resolution, low latency, and no motion blur, and we explored the potential of using event sensors for micro motion estimation.
Article
Engineering, Biomedical
S. Capostagno, A. Sisniega, J. W. Stayman, T. Ehtiati, C. R. Weiss, J. H. Siewerdsen
Summary: A deformable image-based motion compensation method was proposed to address motion artifacts in cone-beam CT (CBCT) guidance. Experimental studies found that gradient entropy was the best autofocus objective for soft-tissue CBCT, and the optimal temporal regularization strength varied widely depending on motion magnitude. Deformable motion compensation was shown to significantly improve image quality in cadaver studies.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Biomedical
Tao Sun, Reinhilde Jacobs, Ruben Pauwels, Elisabeth Tijskens, Roger Fulton, Johan Nuyts
Summary: Patient movement can affect image quality in oral and maxillofacial cone-beam computed tomography imaging. A novel ME/MC method was proposed to improve image quality by estimating and compensating for rigid pose changes over time. Evaluation through simulations, phantom, and patient studies showed promising results with improved image quality and eliminated artifacts. Further assessment is needed to determine the clinical value of this proposed method.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Environmental Sciences
Zhenfang Zhao, Yisong Zhang, Wenguang Wang, Ben Liu, Wei Wu
Summary: This paper proposes a novel long-time coherent integration method based on segmented compensation for detecting weak targets from sea clutter. The method models the complex motion of marine targets and uses energy distribution differences to suppress sea clutter, extract potential targets, and perform phase compensation and long-time coherent integration for target detection and discrimination.
Article
Engineering, Biomedical
H. Huang, J. H. Siewerdsen, W. Zbijewski, C. R. Weiss, M. Unberath, T. Ehtiati, A. Sisniega
Summary: This study proposes a novel reference-free similarity metric (DL-VIF) that leverages deep convolutional neural networks to address patient motion artifacts in interventional CBCT. DL-VIF outperforms conventional metrics in motion estimation and image quality improvement, demonstrating its potential for autofocus motion compensation in CBCT.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Engineering, Biomedical
Mark Gardner, Owen Dillon, Chun-Chien Shieh, Ricky O'Brien, Emily Debrot, Jeffrey Barber, Verity Ahern, Peter Bennett, Soo-Min Heng, Stephanie Corde, Michael Jackson, Paul Keall
Summary: This study investigated and compared five CBCT reconstruction algorithms for fixed-gantry CBCT images, with motion compensation algorithms showing better results in reducing motion artifacts. GMCFDK, MCPICCS, and SMEIR reconstructions had lower RMSE and higher SSIM compared to conventional FDK, demonstrating the feasibility of fixed-gantry CBCT scans and the ability of reconstruction algorithms to compensate for motion effects.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Optics
Juuso Heikkinen, Gary S. Schajer
Summary: 2D Digital Image Correlation (2D DIC) and Defocused Speckle Imaging (DSI) are optical methods with complementary advantages and disadvantages in measuring object displacement. By combining the two methods simultaneously, it is possible to compensate for perspective errors and improve measurement accuracy.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Yongsheng Gao, Fangjing Shi, Jing Zhang, Biao Cao, Boyuan Ma, Weile Zhai, Yangyu Fan
Summary: Microwave photonic mixing can achieve the conversion of microwave signals in the optical domain. In this paper, a wideband, large dynamic range, and reconfigurable microwave photonic mixer is proposed and demonstrated. Various reconfigurable functions including dispersion immune mixing, frequency down-conversion, image rejection mixing, and double-balanced mixing are realized, and the performance is improved by optimization techniques.
Article
Environmental Sciences
Nannan Zhu, Jun Hu, Shiyou Xu, Wenzhen Wu, Yunfan Zhang, Zengping Chen
Summary: An improved PDR method is proposed in this paper to reduce the impact of low SNR in recognizing ballistic missiles. The method performs well with an accuracy level of sub-wavelength even with SNR at -5 dB.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sebastian Faby, Joscha Maier, Stefan Sawall, David Simons, Heinz-Peter Schlemmer, Michael Lell, Marc Kachelriess
Article
Engineering, Multidisciplinary
Joscha Maier, Carsten Leinweber, Stefan Sawall, Henning Stoschus, Frederic Ballach, Tobias Mueller, Michael Hammer, Ralf Christoph, Marc Kachelriess
MEASUREMENT SCIENCE AND TECHNOLOGY
(2017)
Article
Radiology, Nuclear Medicine & Medical Imaging
Carsten Leinweber, Joscha Maier, Marc Kachelriess
Article
Materials Science, Characterization & Testing
Joscha Maier, Stefan Sawall, Michael Knaup, Marc Kachelriess
JOURNAL OF NONDESTRUCTIVE EVALUATION
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Nadine Waltrich, Stefan Sawall, Joscha Maier, Jan Kuntz, Kai Stannigel, Kai Lindenberg, Marc Kachelriess
Article
Radiology, Nuclear Medicine & Medical Imaging
Sabrina Dorn, Shuqing Chen, Stefan Sawall, Joscha Maier, Michael Knaup, Monika Uhrig, Heinz-Peter Schlemmer, Andreas Maier, Michael Lell, Marc Kachelriess
Article
Radiology, Nuclear Medicine & Medical Imaging
Stefan Sawall, Andreas Hahn, Joscha Maier, Jan Kuntz, Marc Kachelriess
Article
Radiology, Nuclear Medicine & Medical Imaging
Joscha Maier, Elias Eulig, Tim Voeth, Michael Knaup, Jan Kuntz, Stefan Sawall, Marc Kachelriess
Article
Radiology, Nuclear Medicine & Medical Imaging
S. Sawall, L. Klein, E. Wehrse, L. T. Rotkopf, C. Amato, J. Maier, H. -P. Schlemmer, C. H. Ziener, S. Heinze, M. Kachelriess
Summary: The study evaluated the performance of dual-energy imaging in PCCT compared to DSCT, finding that PCCT can provide iodine images similar to DSCT, but the choice of thresholds should be optimized with respect to tube voltage for maximizing image quality.
EUROPEAN RADIOLOGY
(2021)
Article
Mechanics
K. E. Hoque, M. Ferdows, S. Sawall, E. E. Tzirtzilakis, M. A. Xenos
Summary: Computed tomography coronary angiography image-based noninvasive virtual fractional flow reserve (vFFR) is a key factor in diagnosing coronary plaque, with both 1D and 3D hemodynamic factors being used to determine the severity of coronary main arteries lesions. The study shows that the 1D computational results can be used to predict the severity of atherosclerotic plaque in clinical procedures.
Article
Engineering, Biomedical
Stefan Sawall, Joscha Maier, Carsten Leinweber, Carsten Funck, Jan Kuntz, Marc Kachelriess
PHYSICS IN MEDICINE AND BIOLOGY
(2017)
Article
Radiology, Nuclear Medicine & Medical Imaging
Stefan Sawall, Danielle Franke, Anne Kirchherr, Jan Beckendorf, Jan Kuntz, Joscha Maier, Alexander Kraupner, Johannes Backs, Andreas Briel, Marc Kachelriess
CONTRAST MEDIA & MOLECULAR IMAGING
(2017)