Article
Optics
Wenhao Du, Junliang Liu, Feilong Gao, Wenhao Zhang, Qinduan Zhang
Summary: Optical projection tomography (OPT), an advanced 3D imaging technique, can recover the 3D volume by using the filtered backprojection (FBP) algorithm with a sufficient number of projections. However, reducing the number of projections for in vivo imaging can lead to artifacts and reduced image quality. The simultaneous iterative reconstruction technique (SIRT) is introduced to improve image quality and remove artifacts. SIRT consistently outperforms FBP, especially with reduced projection numbers, providing high-quality reconstructions and significant reductions in acquisition time and light dose.
OPTICAL ENGINEERING
(2023)
Article
Geography, Physical
Jian Gao, Jin Liu, Shunping Ji
Summary: In this paper, a general deep learning framework named Sat-MVSF is proposed for three-dimensional (3D) reconstruction of the Earth's surface from multi-view optical satellite images. The framework includes pre-processing, a multi-view stereo network specifically designed for satellite imagery (Sat-MVSNet), and post-processing. The framework achieves state-of-the-art performance and robustness by incorporating deep feature extraction, rational polynomial camera warping, pyramid cost volume construction, regularization, regression, and a self-refinement strategy. Comparative experiments demonstrate the potential and superiority of the proposed framework over commercial and open-source methods. The author also emphasizes the need for more high-quality open-source training data to facilitate research in this field.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Weibin Zhang, Shusen Zhao, Huiying Pan, Yunsong Zhao, Xing Zhao
Summary: An iterative reconstruction method based on monochromatic images was proposed for DECT to rapidly obtain high-quality and quickly converging images. By converting the DECT reconstruction problem to monochromatic image decomposition, the proposed method significantly improved the convergence speed of DECT reconstruction.
Article
Engineering, Biomedical
Stephanie Leon, Edmond Olguin, Colin Schaeffer, Catherine Olguin, Nupur Verma, Tan-Lucien Mohammed, Joseph Grajo, Manuel Arreola
Summary: The study compared the image quality of Canon's statistical-based AIDR 3D algorithm and model-based FIRST algorithm through quantitative and qualitative analyses. Results indicated that the new model-based algorithm showed advantages in abdomen imaging but did not have a clear overall benefit for lung or brain imaging.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Keisuke Fujii, Keiichi Nomura, Kuniharu Imai, Yoshihisa Muramatsu, So Tsushima, Hiroyuki Ota
Summary: This study aimed to evaluate the amount of texture noise observed on CT images and compare the apparent noise in images reconstructed using different algorithms. The apparent noise index was found to be a useful indicator for quantifying and comparing texture noise on CT images obtained with different scan parameters and reconstruction algorithms, with AiCE Body Sharp images having the lowest apparent noise index.
JOURNAL OF DIGITAL IMAGING
(2022)
Article
Clinical Neurology
Yuya Kobayashi, Teruya Morizumi, Gaku Okumura, Kiyoshiro Nagamatsu, Yusaku Shimizu, Tetsuo Sasaki, Atsushi Sato, Yoshiki Sekijima, Kazuhiro Hongo
Summary: This study analyzed the feasibility of using IR and MIP for CT evaluation of thrombus in large vessel occlusion. The results showed that the IR+MIP group had lower noise and higher contrast-to-noise ratio, leading to more favorable image evaluations. Thrombus assessment showed better performance in terms of thrombus edge identification and visual assessment in the IR+MIP group.
Article
Computer Science, Artificial Intelligence
Anny Yuniarti, Agus Zainal Arifin, Nanik Suciati
Summary: Learning-based methods for 3D reconstruction have gained attention due to their performance in image segmentation and classification. This paper introduces a new framework for 3D reconstruction of 2D images using a 3D template-based point generation network, which shows better performance than existing methods in terms of Chamfer distance on the ShapeNet dataset.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Interdisciplinary Applications
Weixun Chen, Min Liu, Hao Du, Miroslav Radojevic, Yaonan Wang, Erik Meijering
Summary: This paper proposes a novel method called SPE-DNR that combines spherical-patches extraction and deep-learning for neuron reconstruction. Experimental results demonstrate that the method is competitive and robust.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Engineering, Electrical & Electronic
Yao Li, Haonan Jiang, Yinguo Yan, Yongzhen Liu, Ziping Zhou, Enguo Chen, Yun Ye, Sheng Xu, Qun Yan, Tailiang Guo
Summary: This paper presents a pico-projector design based on micro-LED (mu LED) light sources, which includes a highly integrated microlens array to improve system efficiency and a set of four-piece spherical lens group to achieve compact size. The simulation results show that the mu LED equipped with the microlens array can increase light energy utilization by about 3.5 times and reduce the size of the pico-projector to 30.18 mm(3). The designed pico-projector has high performance and compact size with great potential for future applications.
JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY
(2023)
Article
Optics
Jianwen Gong, Ji Zhou, Haifeng Sun, Song Hu, Jian Wang, Junbo Liu
Summary: This paper presents a novel method for fabricating microlens arrays using projection lithography with mask-shifting. By using a special projection objective lens and a filtering technique, the method achieves high surface figure accuracy and low surface roughness. The experimental results demonstrate the potential of this method in microlens array fabrication.
Article
Radiology, Nuclear Medicine & Medical Imaging
Wenying Wang, Yiqun Ma, Matthew Tivnan, Junyuan Li, Grace J. Gang, Wojciech Zbijewski, Minghui Lu, Jin Zhang, Josh Star-Lack, Richard E. Colbeth, J. Webster Stayman
Summary: A model-based method for high-resolution material decomposition in spectral CBCT system with a prototype dual-layer FPD is proposed. Through high-fidelity modeling of multilayer detector, the method aims to avoid resolution loss and achieve higher spatial resolution compared to traditional approaches. Experimental results demonstrate superior imaging performance at the same noise level compared to traditional methods.
Article
Radiology, Nuclear Medicine & Medical Imaging
Corey T. Jensen, Shiva Gupta, Mohammed M. Saleh, Xinming Liu, Vincenzo K. Wong, Usama Salem, Wei Qiao, Ehsan Samei, Nicolaus A. Wagner-Bartak
Summary: This study compared reduced-dose deep learning image reconstruction with standard-dose filtered back projection contrast-enhanced abdominal CT in evaluating liver metastases and image quality. The results showed that deep learning image reconstruction improved CT image quality while reducing radiation dose, with superior performance in detecting liver lesions larger than 0.5 cm.
Article
Radiology, Nuclear Medicine & Medical Imaging
Weiguang Yu, Xing Li, Hongbo Zhou, Yang Zhang, Zhiguo Sun
Summary: This study aimed to evaluate the application value of the filtered back-projection (FBP) reconstruction algorithm of computed tomography (CT) images in laparoscopic-assisted distal gastrectomy. The results showed that the FBP reconstruction algorithm had superior image quality compared to other algorithms, providing a good reconstruction effect on CT images of gastric cancer. Additionally, using the FBP reconstruction algorithm in laparoscopic radical gastrectomy led to a significant reduction in postoperative wound infection and gastric motility disorder, as well as a decrease in the levels of serum interleukin-6 and tumor necrosis factor-alpha. Therefore, the FBP reconstruction algorithm has a high clinical application value in CT imaging of gastric cancer.
CONTRAST MEDIA & MOLECULAR IMAGING
(2022)
Article
Oncology
Dirk Graafen, Fabian Stoehr, Moritz C. C. Halfmann, Tilman Emrich, Friedrich Foerster, Yang Yang, Christoph Dueber, Lukas Mueller, Roman Kloeckner
Summary: This study analyzed the impact of different quantum iterative reconstruction (QIR) levels on PCD-CT imaging of hepatocellular carcinoma (HCC). The results showed that using the highest QIR level can achieve the best image quality and improve diagnostic accuracy and confidence.
Article
Medicine, General & Internal
Damiano Caruso, Marta Zerunian, Francesco Pucciarelli, Benedetta Bracci, Michela Polici, Benedetta D'Arrigo, Tiziano Polidori, Gisella Guido, Luca Barbato, Daniele Polverari, Antonella Benvenga, Elsa Iannicelli, Andrea Laghi
Summary: The study evaluated the impact of ASIR-V on CT radiomic features extraction, showing that different levels of ASIR-V can affect CTTA results across various organs. However, skewness and kurtosis parameters remain stable and reliable for radiomic analysis despite the use of IR.
Article
Oncology
Cheng Zhou, Bleddyn Jones, Mahmoud Moustafa, Christian Schwager, Julia Bauer, Bing Yang, Liji Cao, Min Jia, Andrea Mairani, Ming Chen, Longhua Chen, Juergen Debus, Amir Abdollahi
RADIATION ONCOLOGY
(2017)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yifei Liu, Liji Cao, Jens Hillengass, Stefan Delorme, Gudrun Schlewitz, Parameswari Govindarajan, Reinhard Schnettler, Christian Heiss, Tobias Baeuerle
Article
Engineering, Electrical & Electronic
Liji Cao, Ricardo Bugalho, Claudia S. Ferreira, Catarina Ortigao, Ricardo M. Capote, Joao Varela, Joerg Peter
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2014)
Article
Critical Care Medicine
Yifei Liu, Liji Cao, Seemun Ray, Ulrich Thormann, Jens Hillengass, Stefan Delorme, Reinhard Schnettler, Volker Alt, Tobias Baeuerle
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED
(2013)
Article
Biochemical Research Methods
Liji Cao, Joerg Peter
JOURNAL OF BIOMEDICAL OPTICS
(2013)
Article
Instruments & Instrumentation
G. Cucciati, E. Auffray, R. Bugalho, L. Cao, N. Di Vara, F. Farina, N. Felix, B. Frisch, A. Ghezzi, V. Juhan, D. Jun, P. Lasaygues, P. Lecoq, S. Mensah, O. Mundler, J. Neves, M. Paganoni, J. Peter, M. Pizzichemi, P. Siles, J. C. Silva, R. Silva, S. Tavernier, L. Tessonnier, J. Varela
JOURNAL OF INSTRUMENTATION
(2014)
Article
Optics
Xiaoming Jiang, Liji Cao, Joerg Peter
OPTICAL ENGINEERING
(2014)
Article
Multidisciplinary Sciences
Junhao Hu, Kshitij Srivastava, Matthias Wieland, Anja Runge, Carolin Mogler, Eva Besemfelder, Dorothee Terhardt, Marion J. Vogel, Liji Cao, Claudia Korn, Susanne Bartels, Markus Thomas, Hellmut G. Augustin
Article
Medicine, Research & Experimental
Yiwei Chen, Liji Cao, Chonglin Luo, Desiree A. W. Ditzel, Joerg Peter, Rolf Sprengel
MOLECULAR THERAPY-NUCLEIC ACIDS
(2013)
Article
Oncology
Cheng Zhou, Mahmoud R. Moustafa, Liji Cao, Mark Kriegsmann, Martin Winter, Christian Schwager, Bleddyn Jones, Shijun Wang, Tobias Baeuerle, Ping-Kun Zhou, Martina Schnoelzer, Wilko Weichert, Juergen Debus, Amir Abdollahi
INTERNATIONAL JOURNAL OF CANCER
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Grace Gyamfuah Yamoah, Liji Cao, Chao Wu Wu, Freek J. Beekman, Bert Vandeghinste, Julia G. Mannheim, Stefanie Rosenhain, Kevin Leonardic, Fabian Kiessling, Felix Gremse
MOLECULAR IMAGING AND BIOLOGY
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Frederic Boisson, Sophie Serriere, Liji Cao, Sylvie Bodard, Alessandro Pilleri, Lionel Thomas, Giancarlo Sportelli, Johnny Vercouillie, Patrick Emond, Clovis Tauber, Nicola Belcari, Jean-Luc Lefaucheur, David Brasse, Laurent Galineau
Summary: This study evaluated the performance of the IRIS XL-220 PET/CT system dedicated to NHP imaging and found that it provided excellent quality images in non-human primates and rats using F-18-FDG, as well as consistent results with previous studies when using (-)-[F-18]FEOBV. The results demonstrate that the IRIS XL-220 is a high-resolution system well suited for PET/CT imaging in non-human primates.
Article
Radiology, Nuclear Medicine & Medical Imaging
F. Boisson, A. Hourlier, V. Bekaert, L. Thomas, P. Marchand, E. Santiago, L. Cao, D. Brasse
Summary: In this study, the imaging capabilities of two PET/CT systems based on similar detector technology were assessed. The results suggest that the IRIS system configuration may be the most suitable for quantitative high-throughput mice imaging.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Liji Cao, Ricardo Bugalho, Claudia S. Ferreira, Catarina Ortigao, Joao Varela, Jorg Peter
2013 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC)
(2013)
Article
Oncology
Cheng Zhou, Bleddyn Jones, Mahmoud Moustafa, Bing Yang, Stephan Brons, Liji Cao, Ying Dai, Christian Schwager, Ming Chen, Oliver Jaekel, Longhua Chen, Juergen Debus, Amir Abdollahi
CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY
(2019)