Search Results - "Semi-automated segmentation algorithms"

Development of a radiobiological evaluation tool to assess the expected clinical impacts of contouring accuracy between manual and semi-automated segmentation algorithms by Kim, Yusung, Patwardhan, Kaustubh Anil, Beichel, Reinhard R, Smith, Brian J., Mart, Christopher, Plichta, Kristin A., Chang, Tangel, Sonka, Milan, Graham, Michael M., Magnotta, Vince, Casavant, Thomas, Xia, Junyi, Buatti, John M.

“…RADEval is a tool developed to assess the expected clinical impact of contouring accuracy when comparing manual contouring and semi-automated segmentation. The…”
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Assessment of glioma response to radiotherapy using multiple MRI biomarkers with manual and semi-automated segmentation algorithms by Yu, Yang, Lee, Dong-Hoon, Peng, Shin-Lei, Zhang, Kai, Zhang, Yi, Jiang, Shanshan, Zhao, Xuna, Heo, Hye-Young, Wang, Xiangyang, Chen, Min, Lu, Hanzhang, Li, Haiyun, Zhou, Jinyuan

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Clinical validation of a semi‐automated segmentation algorithm for target volume definition on planning CT and CBCT in stereotactic body radiotherapy (SBRT) for peripheral lung lesions by Mohamed, Ahmed Allam, Risse, Kathrin, Schmitz, Laura, Schlenter, Marsha, Chughtai, Ahmed, Ivanciu, Maria, Eble, Michael J.

“…Introduction Stereotactic body radiotherapy (SBRT) is an ablative method for lung malignancies. Here, the definition of the gross target volume (GTV) is…”
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Volumetric assessment of unaffected parenchyma and Wilms’ tumours: analysis of response to chemotherapy and surgery using a semi‐automated segmentation algorithm in children with renal neoplasms by Rickard, Mandy, Fernandez, Nicolas, Blais, Anne‐Sophie, Shalabi, Ahmed, Amirabadi, Afsaneh, Traubici, Jeffrey, Lee, Wayne, Gleason, Joseph, Brzezinski, Jack, Lorenzo, Armando J.

“…Objective To present our proof of concept with semi‐automatic image recognition/segmentation technology for calculation of tumour/parenchyma volume. Methods We…”
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Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas by Kemnitz, Jana, Eckstein, Felix, Culvenor, Adam G., Ruhdorfer, Anja, Dannhauer, Torben, Ring-Dimitriou, Susanne, Sänger, Alexandra M., Wirth, Wolfgang

“…Objective To validate a semi-automated method for thigh muscle and adipose tissue cross-sectional area (CSA) segmentation from MRI. Materials and methods An…”
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Semi-automated segmentation and visualization of complex undisturbed root systems with X-ray μCT by Maenhout, Peter, Sleutel, Steven, Xu, Hui, Van Hoorebeke, Luc, Cnudde, Veerle, De Neve, Stefaan

“…•X-ray CT-based protocols exist for juvenile root systems often grown in substrates.•These methods appeared inapt for large mature root systems in natural…”
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Clinical validation of an algorithm for rapid and accurate automated segmentation of intracoronary optical coherence tomography images by Chatzizisis, Yiannis S., Koutkias, Vassilis G., Toutouzas, Konstantinos, Giannopoulos, Andreas, Chouvarda, Ioanna, Riga, Maria, Antoniadis, Antonios P., Cheimariotis, Grigorios, Doulaverakis, Charalampos, Tsampoulatidis, Ioannis, Bouki, Konstantina, Kompatsiaris, Ioannis, Stefanadis, Christodoulos, Maglaveras, Nicos, Giannoglou, George D.

“… Using certain lumen size and lumen shape characteristics, the fully- and semi-automated segmentation algorithms were validated over manual…”
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Contour-propagation algorithms for semi-automated reconstruction of neural processes by Macke, Jakob H., Maack, Nina, Gupta, Rocky, Denk, Winfried, Schölkopf, Bernhard, Borst, Alexander

“…A new technique, “serial block face scanning electron microscopy” (SBFSEM), allows for automatic sectioning and imaging of biological tissue with a scanning…”
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A Bayesian framework for performance assessment and comparison of imaging biomarker quantification methods by Smith, Brian J, Beichel, Reinhard R

“…Quantitative biomarkers derived from medical images are being used increasingly to help diagnose disease, guide treatment, and predict clinical outcomes…”
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Segmentation of osteosarcoma tumor using diffusion weighted MRI: a comparative study using nine segmentation algorithms by Baidya Kayal, Esha, Kandasamy, Devasenathipathy, Sharma, Raju, Bakhshi, Sameer, Mehndiratta, Amit

“…Osteosarcoma is a primary malignant bone tumor in children and adolescents with significant morbidity and poor prognosis. Diffusion weighted imaging (DWI)…”
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Comparative analysis of mammography image segmentation strategies. by Abed, Areej Rebat, Hussein, Karim

“…Breast cancer is a serious medical problem that affects women all over the world, and it is one of the most well-known tumors that kill women. The specialists…”
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A semi-automated quantitative comparison of metal artifact reduction in photon-counting computed tomography by energy-selective thresholding by Do, T. D., Sawall, S., Heinze, S., Reiner, T., Ziener, C. H., Stiller, W., Schlemmer, H. P., Kachelrieß, M., Kauczor, H. U., Skornitzke, S.

“… Metal artifacts were quantified by a semi-automated segmentation algorithm, calculating artifact volumes, means and standard deviations of CT numbers…”
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Semi-automated evaluation of trabecular meshwork and schlemm canal imaged with OCT in children with normal eyes vs. primary congenital glaucoma by Wang, Bo, Gregston, Alden P., Naithani, Rizul, Alvarez, Samuel, Sigireddi, Rohini R., Freedman, Sharon F.

“…). This study aims to evaluate a semi-automated segmentation algorithm of SC and TM in pediatric patients scanned using overhead-mounted optical coherence tomography (OCT…”
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Hypothalamic volume in pedophilia with or without child sexual offense by Storch, Melanie, Kanthack, Maria, Amelung, Till, Beier, Klaus M., Krueger, Tillmann H. C., Sinke, Christopher, Walter, Henrik, Walter, Martin, Schiffer, Boris, Schindler, Stephanie, Schoenknecht, Peter

“… who formed the control group. All data were collected in a multicenter in vivo study and analyzed using a semi-automated segmentation algorithm for 3-Tesla magnetic resonance images…”
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Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage by Kakavand, Reza, Palizi, Mehrdad, Tahghighi, Peyman, Ahmadi, Reza, Gianchandani, Neha, Adeeb, Samer, Souza, Roberto, Edwards, W. Brent, Komeili, Amin

“… The present study aimed to enhance subject-specific knee joint FE modeling by incorporating a semi-automated segmentation algorithm using a 3D Swin UNETR for an initial segmentation of the femur…”
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Aortic hemodynamics and white matter hyperintensities in normotensive postmenopausal women by Barnes, Jill N., Harvey, Ronée E., Zuk, Samantha M., Lundt, Emily S., Lesnick, Timothy G., Gunter, Jeffrey L., Senjem, Matthew L., Shuster, Lynne T., Miller, Virginia M., Jack, Clifford R., Joyner, Michael J., Kantarci, Kejal

“…Hypertension is associated with development of white matter hyperintensities (WMH) in the brain, which are risk factors for mild cognitive impairment. Hormonal…”
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Comparison of CT volumetric measurement with RECIST response in patients with lung cancer by Hayes, S.A., Pietanza, M.C., O’Driscoll, D., Zheng, J., Moskowitz, C.S., Kris, M.G., Ginsberg, M.S.

“… Retrospectively, volumetric measurements were recorded and response was assessed by two different volumetric methods at each followup CT scan using a semi-automated segmentation algorithm…”
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Longitudinal analysis of tibiofemoral cartilage contact area and position in ACL reconstructed patients by Chen, Ellison, Amano, Keiko, Pedoia, Valentina, Souza, Richard B., Ma, C. Benjamin, Li, Xiaojuan

“… Areas were delineated in FSE images with an in‐house Matlab program using a spline‐based semi‐automated segmentation algorithm…”
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Correlation between tumor measurement on Computed Tomography and resected specimen size in lung adenocarcinomas by Lampen-Sachar, Katharine, Zhao, Binsheng, Zheng, Junting, Moskowitz, Chaya S., Schwartz, Lawrence H., Zakowski, Maureen F., Rizvi, Naiyer A., Kris, Mark G., Ginsberg, Michelle S.

“… Institutional Review Board permission was obtained. Tumor contours were delineated using a semi-automated segmentation algorithm and adjusted based on a radiologist's input…”
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Multimodality imaging with CT, MR and FDG-PET for radiotherapy target volume delineation in oropharyngeal squamous cell carcinoma by Bird, David, Scarsbrook, Andrew F., Sykes, Jonathan, Ramasamy, Satiavani, Subesinghe, Manil, Carey, Brendan, Wilson, Daniel J., Roberts, Neil, McDermott, Gary, Karakaya, Ebru, Bayman, Evrim, Sen, Mehmet, Speight, Richard, Prestwich, Robin J.D.

“…). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively…”
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