BMC Medical Imaging

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Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study
BMC Medical Imaging - Tập 23 - Trang 1-23 - 2023
Marc Fischer, Thomas Küstner, Sofia Pappa, Thoralf Niendorf, Tobias Pischon, Thomas Kröncke, Stefanie Bette, Sara Schramm, Börge Schmidt, Johannes Haubold, Felix Nensa, Tobias Nonnenmacher, Viktoria Palm, Fabian Bamberg, Lena Kiefer, Fritz Schick, Bin Yang
In this work, we propose a processing pipeline for the extraction and identification of meaningful radiomics biomarkers in skeletal muscle tissue as displayed using Dixon-weighted MRI. Diverse and robust radiomics features can be identified that may be of aid in the accurate quantification e.g. varying degrees of sarcopenia in respective muscles of large cohorts. As such, the approach comprises th...... hiện toàn bộ
Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study
BMC Medical Imaging - Tập 21 - Trang 1-13 - 2021
Liang Liang, Ying Ding, Yiyi Yu, Kai Liu, Shengxiang Rao, Yingqian Ge, Mengsu Zeng
Multiple guidelines for pancreatic ductal adenocarcinoma (PDAC) suggest that all stages of patients need to receive postoperative adjuvant chemotherapy. S-1 is a recently emerged oral antitumour agent recommended by the guidelines. However, which population would benefit from S-1 needs to be determined, and predictors of chemotherapy response are needed for personalized precision medicine. This pi...... hiện toàn bộ
Correction to: Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network
BMC Medical Imaging - Tập 19 - Trang 1-1 - 2019
Fei Li, Zhe Wang, Guoxiang Qu, Diping Song, Ye Yuan, Yang Xu, Kai Gao, Guangwei Luo, Zegu Xiao, Dennis S. C. Lam, Hua Zhong, Yu Qiao, Xiulan Zhang
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Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
BMC Medical Imaging - Tập 21 - Trang 1-14 - 2021
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
One challenge to train deep convolutional neural network (CNNs) models with whole slide images (WSIs) is providing the required large number of costly, manually annotated image regions. Strategies to alleviate the scarcity of annotated data include: using transfer learning, data augmentation and training the models with less expensive image-level annotations (weakly-supervised learning). However, ...... hiện toàn bộ
Application of magnetic resonance image compilation (MAGiC) in the diagnosis of middle-aged and elderly women with osteoporosis
BMC Medical Imaging - Tập 23 - Trang 1-8 - 2023
Yiming Chen, Xiuting Mei, Xuqian Liang, Yi Cao, Cong Peng, Yang Fu, Yulong Zhang, Cuifang Liu, Yang Liu
To investigate the feasibility of diagnosing osteoporosis (OP) in women through magnetic resonance image compilation (MAGiC). A total of 110 patients who underwent lumbar magnetic resonance imaging and dual X-ray absorptiometry examinations were collected and divided into two groups according bone mineral density: osteoporotic group (OP) and non-osteoporotic group (non-OP). The variation trends of...... hiện toàn bộ
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma
BMC Medical Imaging - Tập 23 - Trang 1-9 - 2023
Kota Abe, Noriyuki Kadoya, Kei Ito, Shohei Tanaka, Yujiro Nakajima, Shimpei Hashimoto, Yuhi Suda, Takashi Uno, Keiichi Jingu
Megavoltage computed tomography (MVCT) images acquired during each radiotherapy session may be useful for delta radiomics. However, no studies have examined whether the MVCT-based radiomics has prognostic power. Therefore, the purpose of this study was to examine the prognostic power of the MVCT-based radiomics for head and neck squamous cell carcinoma (HNSCC) patients. 100 HNSCC patients who rece...... hiện toàn bộ
Mindboggle: Automated brain labeling with multiple atlases
BMC Medical Imaging - Tập 5 - Trang 1-14 - 2005
Arno Klein, Brett Mensh, Satrajit Ghosh, Jason Tourville, Joy Hirsch
To make inferences about brain structures or activity across multiple individuals, one first needs to determine the structural correspondences across their image data. We have recently developed Mindboggle as a fully automated, feature-matching approach to assign anatomical labels to cortical structures and activity in human brain MRI data. Label assignment is based on structural correspondences b...... hiện toàn bộ
Development of an algorithm to automatically compress a CT image to visually lossless threshold
BMC Medical Imaging - - 2018
Chang-Mo Nam, Kyong Joon Lee, Yousun Ko, Kil Joong Kim, Bohyoung Kim, Kyoung Ho Lee
To develop an algorithm to predict the visually lossless thresholds (VLTs) of CT images solely using the original images by exploiting the image features and DICOM header information for JPEG2000 compression and to evaluate the algorithm in comparison with pre-existing image fidelity metrics. Five radiologists independently determined the VLT for 206 body CT images for JPEG2000 compression using Q...... hiện toàn bộ
Microbubbles in macrocysts – Contrast-enhanced ultrasound assisted sclerosant therapy of a congenital macrocystic lymphangioma: a case report
BMC Medical Imaging - Tập 17 Số 1 - 2017
Carlos Menendez-Castro, M. Zapke, Fabian Fahlbusch, Heiko von Goessel, Wolfgang Rascher, Jörg Jüngert
Imaging of thyroid tumor angiogenesis with microbubbles targeted to vascular endothelial growth factor receptor type 2 in mice
BMC Medical Imaging - Tập 13 - Trang 1-9 - 2013
Marcello Mancini, Adelaide Greco, Giuliana Salvatore, Raffaele Liuzzi, Gennaro Di Maro, Emilia Vergara, Gennaro Chiappetta, Rosa Pasquinelli, Arturo Brunetti, Marco Salvatore
To evaluate whether Contrast Enhanced Ultrasund (CEUS) with microbubbles (MBs) targeted to VEGFR-2 is able to characterize in vivo the VEGFR-2 expression in the tumor vasculature of a mouse model of thyroid cancer (Tg-TRK-T1). Animal protocol was approved by Institutional committee on Laboratory Animal Care. Contrast-enhanced ultrasound imaging with MBs targeted with an anti-VEGFR-2 monoclonal ant...... hiện toàn bộ
Tổng số: 996   
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