Search Results - "Automated segmentation algorithms"

Training labels for hippocampal segmentation based on the EADC‐ADNI harmonized hippocampal protocol by Boccardi, Marina, Bocchetta, Martina, Antelmi, Luigi, Fellgiebel, Andreas, Matsuda, Hiroshi, Teipel, Stefan, Duchesne, Simon, Jack, Clifford R, Frisoni, Giovanni B, and, EADC-ADNI Working Group on The Harmonized Protocol for Manual Hippocampal Segmentation, Alzheimer's Disease Neuroimaging Initiative, Morency, Félix C, Collins, D Louis, Nishikawa, Masami, Ganzola, Rossana, Grothe, Michel J, Wolf, Dominik, Redolfi, Alberto, Pievani, Michela

“…) that can be used as the standard of truth to train new tracers, and to validate automated segmentation algorithms…”
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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.

“… Here, the definition of the gross target volume (GTV) is subject to interobserver variation…”
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Repeatability and Reproducibility of Eight Macular Intra-Retinal Layer Thicknesses Determined by an Automated Segmentation Algorithm Using Two SD-OCT Instruments by Liu, Xinting, Shen, Meixiao, Huang, Shenghai, Leng, Lin, Zhu, Dexi, Lu, Fan

“…) images from two different instruments. Twenty normal subjects (12 males, 8 females; 24 to 32 years old) were enrolled. Imaging was performed with a custom built ultra-high resolution OCT instrument…”
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Evaluation of Automated Segmentation Algorithm for Macular Volumetric Measurements of Eight Individual Retinal Layer Thickness by Zahavi, Ori, Domínguez-Vicent, Alberto, Brautaset, Rune, Venkataraman, Abinaya Priya

“…: Two consecutive three-dimensional scans were acquired on 29 subjects with healthy retinas…”
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Scan-rescan reliability of subcortical brain volumes derived from automated segmentation by Morey, Rajendra A., Selgrade, Elizabeth S., Wagner II, Henry Ryan, Huettel, Scott A., Wang, Lihong, McCarthy, Gregory

“… This study examined scan–rescan reliability of automated segmentation algorithms for measuring several subcortical regions, using both within‐day and across…”
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Clinical correlates of white matter lesions in Parkinson's disease using automated multi-modal segmentation measures by Fang, Eric, Fartaria, Mário João, Ann, Chu Ning, Maréchal, Bénédicte, Kober, Tobias, Lim, Jie Xin, Ooi, Leon Qi Rong, Chen, Celeste, Lim, Soo Lee, Tan, Eng King, Chan, Ling Ling

“… Fifty-five subjects comprising of twenty PD patients and thirty-five age- and gender-matched control subjects…”
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Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine by Burian, Egon, Rohrmeier, Alexander, Schlaeger, Sarah, Dieckmeyer, Michael, Diefenbach, Maximilian N., Syväri, Jan, Klupp, Elisabeth, Weidlich, Dominik, Zimmer, Claus, Rummeny, Ernst J., Karampinos, Dimitrios C., Kirschke, Jan S., Baum, Thomas

“… Thus, the development of automated segmentation algorithms is an ongoing research focus…”
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Expiratory CT scanning in COVID-19 patients: can we add useful data? by Dalla Costa1, Ruhana, Zanon1, Matheus, Watte1, Guilherme, Leonhardt Altmayer1, Stephan Philip, Mohammed2, Tan-Lucien, Verma2, Nupur, De Backer3, Jan, Marchiori4, Edson, Hochhegger1,2,5, Bruno

“… of AT. Small blood vessel volumes were estimated by means of cross-sectional areas < 5 mm2 (BV5) derived from automated segmentation algorithms…”
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A Comprehensive Analysis of Cerebellar Volumes in the 22q11.2 Deletion Syndrome by Schmitt, J. Eric, DeBevits, John J., Roalf, David R., Ruparel, Kosha, Gallagher, R. Sean, Gur, Ruben C., Alexander-Bloch, Aaron, Eom, Tae-Yeon, Alam, Shahinur, Steinberg, Jeffrey, Akers, Walter, Khairy, Khaled, Crowley, T. Blaine, Emanuel, Beverly, Zakharenko, Stanislav S., McDonald-McGinn, Donna M., Gur, Raquel E.

“…). Lobar and lobule-level cerebellar volumes were estimated using validated automated segmentation algorithms, and subsequently group differences were compared…”
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Accuracy and Reliability of Automated Gray Matter Segmentation Pathways on Real and Simulated Structural Magnetic Resonance Images of the Human Brain by Eggert, Lucas D., Sommer, Jens, Jansen, Andreas, Kircher, Tilo, Konrad, Carsten

“… However, although detection of small structural brain differences may fundamentally depend on the method used, both accuracy and reliability of different automated segmentation algorithms have rarely been compared…”
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Iterative probabilistic voxel labeling: automated segmentation for analysis of The Cancer Imaging Archive glioblastoma images by Steed, T C, Treiber, J M, Patel, K S, Taich, Z, White, N S, Treiber, M L, Farid, N, Carter, B S, Dale, A M, Chen, C C

“…Robust, automated segmentation algorithms are required for quantitative analysis of large imaging datasets…”
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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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OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF RETINAL VENOUS OCCLUSION by Kashani, Amir H, Lee, Sun Young, Moshfeghi, Andrew, Durbin, Mary K, Puliafito, Carmen A

“…To noninvasively evaluate the retinal microvasculature in human subjects with retinal venous occlusions using optical coherence tomography angiography and assess potential clinical applications…”
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MRI-based Deep Learning Models for Preoperative Breast Volume and Density Assessment Assisting Breast Reconstruction by Chen, Muzi, Xing, Jiahua, Guo, Lingli

“… Material and Methods A total of 249 subjects undergoing breast reconstruction surgery were enrolled in this study…”
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Combined registration and motion correction of longitudinal retinal OCT data by Lang, Andrew, Carass, Aaron, Al-Louzi, Omar, Bhargava, Pavan, Solomon, Sharon D, Calabresi, Peter A, Prince, Jerry L

“… To measure layer thicknesses in the retina, automated segmentation algorithms are often used, producing accurate and reliable measurements…”
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Impact of retinal pigment epithelium pathology on spectral‐domain optical coherence tomography‐derived macular thickness and volume metrics and their intersession repeatability by Hanumunthadu, Daren, Wang, Jin Ping, Chen, Wei, Wong, Evan N, Chen, Yi, Morgan, William H, Patel, Praveen J, Chen, Fred K

“…‐sectional single centre study. Participants A total of 56 eyes of 56 subjects were divided into three groups: (i) normal RPE band (25 eyes); (ii) RPE elevation…”
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ODTiD: Optic Nerve Head SD-OCT Image Dataset by Jothi Balaji, Janarthanam, Lakshminarayanan, Vasudevan

“…Optic disc tilt (ODT) or tilted optic disc is a common finding in the general population. It is due to anomalous development caused by the malclosure of the…”
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Voxel-based morphometry of the thalamus in patients with refractory medial temporal lobe epilepsy by Bonilha, Leonardo, Rorden, Chris, Castellano, Gabriela, Cendes, Fernando, Li, Li M.

“…) were made using automated segmentation algorithms. GMC was analyzed both voxel-by-voxel (preserving spatial precision…”
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Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm by Amoroso, Nicola, Rocca, Marianna La, Bellotti, Roberto, Fanizzi, Annarita, Monaco, Alfonso, Tangaro, Sabina

“… Accordingly, the development of reliable fully-automated segmentation algorithms is of paramount importance…”
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A Bayesian framework for performance assessment and comparison of imaging biomarker quantification methods by Smith, Brian J, Beichel, Reinhard R

“… Measurement of quantitative imaging biomarkers is subject to bias and variability from multiple sources, including the scanner technologies that produce images, the approaches for identifying regions…”
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