| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Christina Sarosiek, Ethan A DeJongh, George Coutrakon, Don F DeJongh, Kirk L Duffin, Nicholas T Karonis, Caesar E Ordoñez, Mark Pankuch, Victor Rykalin, John R Winans, James S Wels. Analysis of characteristics of images acquired with a prototype clinical proton radiography system. Medical physics. vol 48. issue 5. 2021-05-24. PMID:33621368. |
proton radiography can be used as a pretreatment instrument to verify integrated stopping power consistency with the treatment planning ct. |
2021-05-24 |
2023-08-13 |
Not clear |
| Daisuke Mugishima, Akihiro Narita, Masaki Ohkub. [A Simple Method for Computationally Generating Metal Artifacts in CT Images for Treatment Planning: A Pilot Phantom Study]. Nihon Hoshasen Gijutsu Gakkai zasshi. vol 77. issue 5. 2021-05-21. PMID:34011787. |
[a simple method for computationally generating metal artifacts in ct images for treatment planning: a pilot phantom study]. |
2021-05-21 |
2023-08-13 |
Not clear |
| Daisuke Mugishima, Akihiro Narita, Masaki Ohkub. [A Simple Method for Computationally Generating Metal Artifacts in CT Images for Treatment Planning: A Pilot Phantom Study]. Nihon Hoshasen Gijutsu Gakkai zasshi. vol 77. issue 5. 2021-05-21. PMID:34011787. |
in treatment planning for radiation therapy, the use of computed tomography (ct) images including metal artifacts causes a reduction in the dose calculation accuracy. |
2021-05-21 |
2023-08-13 |
Not clear |
| Waqas Tanveer, Angela Ridwan-Pramana, Pedro Molinero-Mourelle, Jan Harm Koolstra, Tymour Forouzanfa. Systematic Review of Clinical Applications of CAD/CAM Technology for Craniofacial Implants Placement and Manufacturing of Nasal Prostheses. International journal of environmental research and public health. vol 18. issue 7. 2021-05-19. PMID:33916853. |
the most common preoperative data for digital planning were ct scans in nine cases, cbct in six cases, and laser scans in six cases. |
2021-05-19 |
2023-08-13 |
human |
| Chi Nok Enoch Kan, Taly Gilat-Schmidt, Dong Hye Y. Enhancing Reproductive Organ Segmentation in Pediatric CT via Adversarial Learning. Proceedings of SPIE--the International Society for Optical Engineering. vol 11596. 2021-05-19. PMID:33994628. |
accurately segmenting organs in abdominal computed tomography (ct) scans is crucial for clinical applications such as pre-operative planning and dose estimation. |
2021-05-19 |
2023-08-13 |
Not clear |
| Kerstin A Kessel, Wolfgang Weber, Igor Yakushev, Hanna Fischer, Theresa Voglhuber, Christian Diehl, Christoph Straube, Claus Zimmer, Benedikt Wiestler, Jens Gempt, Bernhard Meyer, Stephanie E Comb. Integration of PET-imaging into radiotherapy treatment planning for low-grade meningiomas improves outcome. European journal of nuclear medicine and molecular imaging. vol 47. issue 6. 2021-05-14. PMID:31758226. |
during treatment planning, the definition of the target volume remains challenging using mr and ct imaging alone. |
2021-05-14 |
2023-08-13 |
Not clear |
| Evan Porter, Patricia Fuentes, Zaid Siddiqui, Andrew Thompson, Ronald Levitin, David Solis, Nick Myziuk, Thomas Guerrer. Hippocampus segmentation on noncontrast CT using deep learning. Medical physics. vol 47. issue 7. 2021-05-14. PMID:32065401. |
removing the need for mr images to identify the hippocampus would reduce planning complexity, the need for a treatment planning mr imaging session, potential uncertainties associated with mri-computed tomography (ct) image registration, and cost. |
2021-05-14 |
2023-08-13 |
Not clear |
| René Werner, Thilo Sentker, Frederic Madesta, Annette Schwarz, Marc Vornehm, Tobias Gauer, Christian Hofman. Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT. Medical physics. vol 47. issue 6. 2021-05-14. PMID:32115724. |
intelligent 4d ct sequence scanning (i4dct): first scanner prototype implementation and phantom measurements of automated breathing signal-guided 4d ct. four-dimensional (4d) computed tomography (ct) imaging is an essential part of current 4d radiotherapy treatment planning workflows, but clinical 4d ct images are often affected by artifacts. |
2021-05-14 |
2023-08-13 |
Not clear |
| Zhao Peng, Xi Fang, Pingkun Yan, Hongming Shan, Tianyu Liu, Xi Pei, Ge Wang, Bob Liu, Mannudeep K Kalra, X George X. A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing. Medical physics. vol 47. issue 6. 2021-05-14. PMID:32155670. |
when previous ct images are available for the same body region of the patient, the ability to obtain patient-specific organ doses for ct - in a similar manner as radiation therapy treatment planning - will open the door to personalized and prospective ct scan protocols. |
2021-05-14 |
2023-08-13 |
Not clear |
| Yabo Fu, Yang Lei, Tonghe Wang, Sibo Tian, Pretesh Patel, Ashesh B Jani, Walter J Curran, Tian Liu, Xiaofeng Yan. Pelvic multi-organ segmentation on cone-beam CT for prostate adaptive radiotherapy. Medical physics. vol 47. issue 8. 2021-05-14. PMID:32323330. |
the purpose of this study is to develop a deep learning-based approach to simultaneously segment five pelvic organs including prostate, bladder, rectum, left and right femoral heads on cone-beam ct (cbct), as required elements for prostate adaptive radiotherapy planning. |
2021-05-14 |
2023-08-13 |
Not clear |
| Yangmei Zhang, Yusi Chen, Anni Zhong, Xun Jia, Shuyu Wu, Hongliang Qi, Linghong Zhou, Yuan X. Scatter correction based on adaptive photon path-based Monte Carlo simulation method in Multi-GPU platform. Computer methods and programs in biomedicine. vol 194. 2021-05-14. PMID:32473514. |
in this paper, we firstly take planning ct image as prior information because of its precise ct value, and utilize gmmc to estimate scatter signal. |
2021-05-14 |
2023-08-13 |
Not clear |
| Zhuo Kuang, Xianbo Deng, Li Yu, Hongkui Wang, Tiansong Li, Shengwei Wan. Ψ-Net: Focusing on the border areas of intracerebral hemorrhage on CT images. Computer methods and programs in biomedicine. vol 194. 2021-05-14. PMID:32474252. |
the volume of the intracerebral hemorrhage (ich) obtained from ct scans is essential for quantification and treatment planning. |
2021-05-14 |
2023-08-13 |
Not clear |
| A Tejo-Otero, P Lustig-Gainza, F Fenollosa-Artés, A Valls, L Krauel, I Buj-Corra. 3D printed soft surgical planning prototype for a biliary tract rhabdomyosarcoma. Journal of the mechanical behavior of biomedical materials. vol 109. 2021-05-14. PMID:32543408. |
additionally, a surgical planning prototype using this last material mentioned was manufactured and validated using a ct (computed tomography) scanner. |
2021-05-14 |
2023-08-13 |
Not clear |
| Alexander D Weston, Panagiotis Korfiatis, Kenneth A Philbrick, Gian Marco Conte, Petro Kostandy, Thomas Sakinis, Atefeh Zeinoddini, Arunnit Boonrod, Michael Moynagh, Naoki Takahashi, Bradley J Erickso. Complete abdomen and pelvis segmentation using U-net variant architecture. Medical physics. vol 47. issue 11. 2021-05-14. PMID:32740931. |
organ segmentation of computed tomography (ct) imaging is essential for radiotherapy treatment planning. |
2021-05-14 |
2023-08-13 |
Not clear |
| Luwen Duan, Xinye Ni, Qi Liu, Lun Gong, Gang Yuan, Ming Li, Xiaodong Yang, Tianxiao Fu, Jian Zhen. Unsupervised learning for deformable registration of thoracic CT and cone-beam CT based on multiscale features matching with spatially adaptive weighting. Medical physics. vol 47. issue 11. 2021-05-14. PMID:32949051. |
fast and accurate registration between the on-treatment cbct and planning ct is significant for and precise adaptive radiotherapy treatment (art). |
2021-05-14 |
2023-08-13 |
Not clear |
| Sylvain Deffet, Marie Cohilis, Kevin Souris, Koen Salvo, Tom Depuydt, Edmond Sterpin, Benoit Mac. openPR - A computational tool for CT conversion assessment with proton radiography. Medical physics. vol 48. issue 1. 2021-05-14. PMID:33125725. |
one of the main sources of uncertainty in proton therapy is the conversion of the hounsfield units of the planning ct to (relative) proton stopping powers. |
2021-05-14 |
2023-08-13 |
Not clear |
| Tianyu Liu, Junchi Liu, Yan Ma, Jiangping He, Jincang Han, Xiaoyang Ding, Chin-Tu Che. Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images. Medical physics. vol 48. issue 1. 2021-05-14. PMID:33159809. |
the accurate segmentation of liver and liver tumors from ct images can assist radiologists in decision-making and treatment planning. |
2021-05-14 |
2023-08-13 |
Not clear |
| Hideyuki Kawashima, Giulio Pompilio, Daniele Andreini, Antonio L Bartorelli, Saima Mushtaq, Enrico Ferrari, Francesco Maisano, Ronny R Buechel, Kaoru Tanaka, Mark La Meir, Johan De Mey, Ulrich Schneider, Torsten Doenst, Ulf Teichgräber, Gregg W Stone, Faisal Sharif, Robbert de Winter, Brian Thomsen, Charles Taylor, Campbell Rogers, Jonathon Leipsic, William Wijns, Yoshinobu Onuma, Patrick W Serruy. Safety and feasibility evaluation of planning and execution of surgical revascularisation solely based on coronary CTA and FFR BMJ open. vol 10. issue 12. 2021-05-14. PMID:33303435. |
safety and feasibility evaluation of planning and execution of surgical revascularisation solely based on coronary cta and ffr the previously published syntax iii revolution trial demonstrated that clinical decision-making between coronary artery bypass graft (cabg) and percutaneous coronary intervention based on coronary ct angiography (ccta) had a very high agreement with the treatment decision derived from invasive coronary angiography (ica). |
2021-05-14 |
2023-08-13 |
Not clear |
| Paolo Farace, Francesco Tommasino, Roberto Righetto, Francesco Fracchiolla, Monica Scaringella, Mara Bruzzi, Carlo Civinin. Technical Note: CT calibration for proton treatment planning by cross-calibration with proton CT data. Medical physics. vol 48. issue 3. 2021-05-14. PMID:33382083. |
technical note: ct calibration for proton treatment planning by cross-calibration with proton ct data. |
2021-05-14 |
2023-08-13 |
Not clear |
| Paolo Farace, Francesco Tommasino, Roberto Righetto, Francesco Fracchiolla, Monica Scaringella, Mara Bruzzi, Carlo Civinin. Technical Note: CT calibration for proton treatment planning by cross-calibration with proton CT data. Medical physics. vol 48. issue 3. 2021-05-14. PMID:33382083. |
the proposed method aims at a more accurate conversion of ct hounsfield units (hu) into proton stopping power ratio (spr) relative to water to be used in proton-therapy treatment planning. |
2021-05-14 |
2023-08-13 |
Not clear |