Article
Engineering, Biomedical
Yuhei Koike, Shingo Ohira, Yuri Teraoka, Ayako Matsumi, Yasuhiro Imai, Yuichi Akino, Masayoshi Miyazaki, Satoaki Nakamura, Koji Konishi, Noboru Tanigawa, Kazuhiko Ogawa
Summary: In this study, a deep learning architecture was proposed for generating pseudo low-energy virtual monochromatic images (VMIs) of head and neck cancers from single-energy CT (SECT) imaging. The proposed method achieved higher accuracy and shorter computation time compared to established DL architectures.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fasco van Ommen, Frans Kauw, Edwin Bennink, Jeremy J. Heit, Dylan N. Wolman, Jan Willem Dankbaar, Hugo W. A. M. de Jong, Max Wintermark
Summary: Evaluation of virtual monochromatic images (VMI) from dual-energy dual source noncontrast head CT with different reconstruction kernels showed that optimal image quality can improve brain parenchymal image quality compared to conventional CT, depending on the reconstruction kernel used and the specific indication for performing noncontrast CT.
ACADEMIC RADIOLOGY
(2021)
Article
Oncology
Johannes Kraft, Paul Lutyj, Felix Grabenbauer, Serge-Peer Stroehle, Joerg Tamihardja, Gary Razinskas, Stefan Weick, Anne Richter, Henner Huflage, Andrea Wittig, Michael Flentje, Dominik Lisowski
Summary: This study evaluates the image quality of brain metastases on dual-energy computed tomography (DECT) virtual monoenergetic imaging (VMI) and its impact on target volume delineation. The results show that VMI provides superior image contrast, lesion demarcation, and target volume delineation compared to conventional CT. This has significant implications for stereotactic radiotherapy planning.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Clinical Neurology
Fasco van Ommen, Jan Willem Dankbaar, Guangming Zhu, Dylan N. Wolman, Jeremy J. Heit, Frans Kauw, Edwin Bennink, Hugo W. A. M. de Jong, Max Wintermark
Summary: Non-contrast 80-90 keV VMI can best differentiate normal from infarcted brain parenchyma, with higher sensitivity and specificity compared to NCT. Within 4.5 hours, 80 keV VMI is more accurate in detecting and localizing infarcts, while after 4.5 hours, 90 keV VMI is more accurate.
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
Radiology, Nuclear Medicine & Medical Imaging
Stevan Vrbaski, Steve Bache, Jayasai Rajagopal, Ehsan Samei
Summary: This study compared the performance of a new photon-counting CT (PC-CT) with an earlier generation energy-integrating detector dual-energy CT (DE-CT) in low-dose quantitative imaging tasks. The results showed that PC-CT had comparable accuracy in iodine quantification (IQ) to DE-CT at low doses, and outperformed DE-CT in all cases. However, PC-CT significantly underestimated Hounsfield units (HU) values of dense materials in extremely obese phantoms.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hao Gong, Francis Baffour, Katrina N. Glazebrook, Nicholas G. Rhodes, Christin A. Tiegs-Heiden, Jamison E. Thorne, Joselle M. Cook, Shaji Kumar, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng
Summary: This study aimed to improve the quality of VNCa images for focal multiple myeloma assessment using an Artificial Intelligence based Generalizable Algorithm for multi-energy CT (AGATE) method. The results showed that AGATE-synthesized VNCa images had significantly lower image noise and artifacts, leading to improved visualization of bone marrow lesions in patients with multiple myeloma.
Article
Radiology, Nuclear Medicine & Medical Imaging
Joel Greffier, Salim A. Si-Mohamed, Hugo Lacombe, Joey Labour, Djamel Djabli, Sara Boccalini, Mohammad Varasteh, Marjorie Villien, Yoad Yagil, Klaus Erhard, Loic Boussel, Jean-Paul Beregi, Philippe C. Douek
Summary: This study aimed to evaluate the quality of virtual monochromatic images (VMIs) from spectral photon-counting CT (SPCCT) and two energy-integrating detector dual-energy CT (EID-DECT) scanners from the same manufacturer, for the coronary lumen. The results showed that compared to the EID-DECT systems, HR and UHR-SPCCT images exhibited greater detectability of the coronary lumen for 40 to 90 keV VMIs, with higher lumen sharpness and overall quality.
EUROPEAN RADIOLOGY
(2023)
Article
Medicine, General & Internal
Giuseppe Mauro Bucolo, Tommaso D'Angelo, Ibrahim Yel, Vitali Koch, Leon D. Gruenewald, Ahmed E. Othman, Leona Soraja Alizadeh, Daniel P. Overhoff, Stephan Waldeck, Simon S. Martin, Silvio Mazziotti, Giorgio Ascenti, Alfredo Blandino, Thomas J. Vogl, Christian Booz
Summary: This study evaluated the impact of low-energy dual-energy CT (DECT) virtual mono-energetic imaging (VMI+) on quantitative and qualitative image quality in the evaluation of lower extremity vascular disease. The results showed that 40-keV and 55-keV VMI+ reconstructions had the highest objective and subjective parameters of image quality, respectively. Therefore, it is recommended to use these specific energy levels for VMI+ reconstructions in clinical practice to provide high-quality images for the evaluation of lower extremity vascular disease and potentially reduce the amount of contrast medium required.
Article
Radiology, Nuclear Medicine & Medical Imaging
Tsukasa Kojima, Takashi Shirasaka, Masatoshi Kondo, Toyoyuki Kato, Akihiro Nishie, Kousei Ishigami, Hidetake Yabuuchi
Summary: The study evaluated the accuracy of CT numbers and iodine quantifications in virtual monochromatic images (VMIs) at various radiation doses using DL-Spectral CT, showing that the CT numbers on VMIs had low errors across different radiation dose protocols, while the iodine quantification accuracy provided by the body parameter was significantly better than the others.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Review
Medicine, General & Internal
Leona S. Alizadeh, Thomas J. Vogl, Stephan S. Waldeck, Daniel Overhoff, Tommaso D'Angelo, Simon S. Martin, Ibrahim Yel, Leon D. Gruenewald, Vitali Koch, Florian Fulisch, Christian Booz
Summary: This article discusses the technical principles and clinical applications of dual-energy computed tomography (DECT) in cardiothoracic imaging, with a focus on current developments and techniques. Different vendors have developed distinct hardware and software approaches for generating multi-energy datasets and various DECT applications, which have been clinically investigated in different fields. Recent literature reports have highlighted the benefits of DECT in oncology, trauma and emergency radiology, musculoskeletal imaging, and cardiovascular imaging. State-of-the-art applications such as virtual monoenergetic imaging, material decomposition, perfused blood volume imaging, and virtual non-contrast imaging have the potential to significantly improve cardiothoracic CT image workflows and enhance diagnostic accuracy and patient safety.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hye Jung Choo, Sun Joo Lee, Dong Wook Kim, Yoo Jin Lee, Jin Wook Baek, Ji-yeon Han, Young Jin Heo
Summary: This study compared the quality of various polychromatic and monochromatic images with or without the iterative metal artifact reduction algorithm (iMAR) in evaluating total knee arthroplasty. The findings indicate that polychromatic images combined with iMAR application provided better image quality and substantial metal artifact reduction compared to other image sets.
KOREAN JOURNAL OF RADIOLOGY
(2021)
Article
Medicine, General & Internal
Sevtap Tugce Ulas, Katharina Ziegeler, Sophia-Theresa Richter, Sarah Ohrndorf, Fabian Proft, Denis Poddubnyy, Torsten Diekhoff
Summary: The study aimed to compare subtraction images from different polychromatic and virtual monochromatic reconstructions for the detection of inflammation in patients with hand arthritis. The results showed that the 70 KeV images had the highest diagnostic accuracy and sensitivity, while the 50 KeV images had the lowest image quality. Virtual monochromatic reconstructions did not show significant improvement in detecting inflammation compared to conventional subtraction techniques.
Article
Engineering, Biomedical
Yidi Yao, Liang Li, Zhiqiang Chen
Summary: This study proposes a novel iterative dynamic dual-energy CT algorithm to reduce statistical noise by sampling sparse in the energy dimension. The algorithm is verified on numerical simulations and a laboratory two-energy-threshold PCD system, showing lower noise level compared to conventional multi-energy CT.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lukas Lenga, Marvin Lange, Christophe T. Arendt, Ibrahim Yel, Christian Booz, James Durden, Doris Leithner, Thomas J. Vogl, Moritz H. Albrecht, Simon S. Martin
Summary: The study evaluated the impact of noise-optimized virtual monoenergetic imaging (VMI) on lesion demarcation and measuring accuracy of hypoattenuating liver metastases in patients with fatty liver disease compared to standard reconstructions. Results showed that noise-optimized VMI reconstructions significantly improved contrast and lesion demarcation of hypoattenuating liver metastases in patients with fatty liver disease compared to standard reconstructions. Inter-and intra-rater agreement for lesion measurements was excellent for both reconstruction techniques.
ACADEMIC RADIOLOGY
(2021)