keyword
https://read.qxmd.com/read/38492252/stadnet-spatial-temporal-attention-guided-dual-path-network-for-cardiac-cine-mri-super-resolution
#1
JOURNAL ARTICLE
Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I Aviles-Rivero, Jing Qin
Cardiac cine magnetic resonance imaging (MRI) is a commonly used clinical tool for evaluating cardiac function and morphology. However, its diagnostic accuracy may be compromised by the low spatial resolution. Current methods for cine MRI super-resolution reconstruction still have limitations. They typically rely on 3D convolutional neural networks or recurrent neural networks, which may not effectively capture long-range or non-local features due to their limited receptive fields. Optical flow estimators are also commonly used to align neighboring frames, which may cause information loss and inaccurate motion estimation...
March 12, 2024: Medical Image Analysis
https://read.qxmd.com/read/38480059/unveiling-the-language-of-scars-a-patient-centric-themed-framework-for-comprehensive-scar-morphology
#2
JOURNAL ARTICLE
Ernest Azzopardi, Dean Boyce, Elayne Azzopardi, Hazim Sadideen, Afshin Mosahebi
BACKGROUND: Scarring, a pervasive issue spanning across medical disciplines, lacks a comprehensive terminology for effective communication, patient engagement, and outcome assessment. Existing scar classification systems are constrained by specific pathologies, physician-centric features, and inadequately account for emerging technologies. This study refrains from proposing yet another classification system and instead revisits the foundational language of scar morphology through a theme analysis of primary patient complaints...
February 15, 2024: Burns
https://read.qxmd.com/read/38458887/machine-learning-and-radiomics-based-preoperative-prediction-of-ki-67-expression-in-glioma-using-mri-data
#3
JOURNAL ARTICLE
Jiaying Ni, Hongjian Zhang, Qing Yang, Xiao Fan, Junqing Xu, Jianing Sun, Junxia Zhang, Yifang Hu, Zheming Xiao, Yuhong Zhao, Hongli Zhu, Xian Shi, Wei Feng, Junjie Wang, Cheng Wan, Xin Zhang, Yun Liu, Yongping You, Yun Yu
BACKGROUND: Gliomas are the most common primary brain tumours and constitute approximately half of all malignant glioblastomas. Unfortunately, patients diagnosed with malignant glioblastomas typically survive for less than a year. In light of this circumstance, genotyping is an effective means of categorising gliomas. The Ki67 proliferation index, a widely used marker of cellular proliferation in clinical contexts, has demonstrated potential for predicting tumour classification and prognosis...
March 7, 2024: Academic Radiology
https://read.qxmd.com/read/38392096/vectorial-image-representation-for-image-classification
#4
JOURNAL ARTICLE
Maria-Eugenia Sánchez-Morales, José-Trinidad Guillen-Bonilla, Héctor Guillen-Bonilla, Alex Guillen-Bonilla, Jorge Aguilar-Santiago, Maricela Jiménez-Rodríguez
This paper proposes the transformation S→C→, where S is a digital gray-level image and C→ is a vector expressed through the textural space. The proposed transformation is denominated Vectorial Image Representation on the Texture Space (VIR-TS), given that the digital image S is represented by the textural vector C→. This vector C→ contains all of the local texture characteristics in the image of interest, and the texture unit T→ entertains a vectorial character, since it is defined through the resolution of a homogeneous equation system...
February 13, 2024: Journal of Imaging
https://read.qxmd.com/read/38386922/technical-and-clinical-considerations-of-a-physical-liver-phantom-for-ct-radiomics-analysis
#5
JOURNAL ARTICLE
Bino Abel Varghese, Steven Yong Cen, Kristin Jensen, Joshua Levy, Hilde Kjernlie Andersen, Anselm Schulz, Xiaomeng Lei, Vinay Anant Duddalwar, David John Goodenough
OBJECTIVE: This study identifies key characteristics to help build a physical liver computed tomography (CT) phantom for radiomics harmonization; particularly, the higher-order texture metrics. MATERIALS AND METHODS: CT scans of a radiomics phantom comprising of 18 novel 3D printed inserts with varying size, shape, and material combinations were acquired on a 64-slice CT scanner (Brilliance 64, Philips Healthcare). The images were acquired at 120 kV, 250 mAs, CTDIvol of 16...
February 22, 2024: Journal of Applied Clinical Medical Physics
https://read.qxmd.com/read/38316622/comprehensive-evaluation-of-magnetic-resonance-imaging-sequences-for-signal-intensity-based-assessment-of-anterior-cruciate-ligament-healing-following-surgical-treatment
#6
JOURNAL ARTICLE
Shankar G Kaushal, Jin-Young Kim, Mallika Singh, Mo Han, Sean W Flannery, Dominique A Barnes, Kirsten Ecklund, Martha M Murray, Gary J Badger, Braden C Fleming, Ata M Kiapour
Normalized signal intensity (SI) obtained from magnetic resonance imaging (MRI) has been used to track anterior cruciate ligament (ACL) postoperative remodeling. We aimed to assess the effect of MRI sequence (PD: proton density-weighted; T2: T2-weighted; CISS: constructive interference in steady state) on postoperative changes in healing ACLs/grafts. We hypothesized that CISS is better at detecting longitudinal SI and texture changes of the healing ACL/graft compared to the common clinical sequences (PD and T2)...
February 5, 2024: Journal of Orthopaedic Research: Official Publication of the Orthopaedic Research Society
https://read.qxmd.com/read/38298321/comparing-texture-analysis-of-apparent-diffusion-coefficient-mri-in-hepatocellular-adenoma-and-hepatocellular-carcinoma
#7
JOURNAL ARTICLE
Ayoob Dinar Abdullah, Behzad Amanpour-Gharaei, Mohssen Nassiri Toosi, Sina Delazar, Hamidraza Saligheh Rad, Arvin Arian
AIM: This study aimed to assess the effectiveness of using MRI-apparent diffusion coefficient (ADC) map-driven radiomics to differentiate between hepatocellular adenoma (HCA) and hepatocellular carcinoma (HCC) features. MATERIALS AND METHODS: The study involved 55 patients with liver tumors (20 with HCA and 35 with HCC), featuring 106 lesions equally distributed between hepatic carcinoma and hepatic adenoma who underwent texture analysis on ADC map MR images. The analysis identified several imaging features that significantly differed between the HCA and HCC groups...
January 2024: Curēus
https://read.qxmd.com/read/38287775/prediction-of-diabetes-insipidus-occurrence-after-endoscopic-endonasal-removal-of-sellar-lesions-using-mri-based-radiomics-and-machine-learning
#8
JOURNAL ARTICLE
Ciro Mastantuoni, Lorenzo Ugga, Domenico Solari, Serena D'Aniello, Gaia Spadarella, Renato Cuocolo, Filippo F Angileri, Luigi M Cavallo
BACKGROUND: Pituitary adenomas and craniopharyngiomas are the most common lesions of the sellar region. These tumors are responsible for invasion or compression of crucial neurovascular structures. The involvement of the pituitary stalk warrants high rates of both pre- and post- operative diabetes insipidus. The aim of our study was to assess the accuracy of machine learning analysis from preoperative MRI of pituitary adenomas and craniopharyngiomas for the prediction of DI occurrence...
January 29, 2024: Journal of Neurosurgical Sciences
https://read.qxmd.com/read/38246808/machine-learning-based-on-magnetic-resonance-imaging-and-clinical-parameters-helps-predict-mesenchymal-epithelial-transition-factor-expression-in-oral-tongue-squamous-cell-carcinoma-a-pilot-study
#9
JOURNAL ARTICLE
Gongxin Yang, Zebin Xiao, Jiliang Ren, RongHui Xia, Yingwei Wu, Ying Yuan, Xiaofeng Tao
OBJECTIVES: This study aimed to develop machine learning models to predict phosphorylated mesenchymal-epithelial transition factor (p-MET) expression in oral tongue squamous cell carcinoma (OTSCC) using magnetic resonance imaging (MRI)-derived texture features and clinical features. METHODS: Thirty-four patients with OTSCC were retrospectively collected. Texture features were derived from preoperative MR images, including T2WI, apparent diffusion coefficient mapping, and contrast-enhanced (ce)-T1WI...
December 27, 2023: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
https://read.qxmd.com/read/38228773/gpu-accelerated-lung-ct-segmentation-based-on-level-sets-and-texture-analysis
#10
JOURNAL ARTICLE
Daniel Reska, Marek Kretowski
This paper presents a novel semi-automatic method for lung segmentation in thoracic CT datasets. The fully three-dimensional algorithm is based on a level set representation of an active surface and integrates texture features to improve its robustness. The method's performance is enhanced by the graphics processing unit (GPU) acceleration. The segmentation process starts with a manual initialisation of 2D contours on a few representative slices of the analysed volume. Next, the starting regions for the active surface are generated according to the probability maps of texture features...
January 16, 2024: Scientific Reports
https://read.qxmd.com/read/38201380/improved-cervical-lymph-node-characterization-among-patients-with-head-and-neck-squamous-cell-carcinoma-using-mr-texture-analysis-compared-to-traditional-fdg-pet-mr-features-alone
#11
JOURNAL ARTICLE
Eric K van Staalduinen, Robert Matthews, Adam Khan, Isha Punn, Renee F Cattell, Haifang Li, Ana Franceschi, Ghassan J Samara, Lukasz Czerwonka, Lev Bangiyev, Tim Q Duong
Accurate differentiation of benign and malignant cervical lymph nodes is important for prognosis and treatment planning in patients with head and neck squamous cell carcinoma. We evaluated the diagnostic performance of magnetic resonance image (MRI) texture analysis and traditional 18F-deoxyglucose positron emission tomography (FDG-PET) features. This retrospective study included 21 patients with head and neck squamous cell carcinoma. We used texture analysis of MRI and FDG-PET features to evaluate 109 histologically confirmed cervical lymph nodes (41 metastatic, 68 benign)...
December 28, 2023: Diagnostics
https://read.qxmd.com/read/38077634/radiomic-analysis-of-the-proximal-femur-in-osteoporosis-women-using-3t-mri
#12
JOURNAL ARTICLE
Dimitri Martel, Anmol Monga, Gregory Chang
INTRODUCTION: Osteoporosis (OP) results in weak bone and can ultimately lead to fracture. MRI assessment of bone structure and microarchitecture has been proposed as method to assess bone quality and fracture risk in vivo . Radiomics provides a framework to analyze the textural information of MR images. The purpose of this study was to analyze the radiomic features and its abilityto differentiate between subjects with and without prior fragility fracture. METHODS: MRI acquisition was performed on n  = 45 female OP subjects: 15 with fracture history (Fx) and 30 without fracture history (nFx) using a high-resolution 3D Fast Low Angle Shot (FLASH) sequence at 3T...
2023: Front Radiol
https://read.qxmd.com/read/38067200/3dgaunet-3d-generative-adversarial-networks-with-a-3d-u-net-based-generator-to-achieve-the-accurate-and-effective-synthesis-of-clinical-tumor-image-data-for-pancreatic-cancer
#13
JOURNAL ARTICLE
Yu Shi, Hannah Tang, Michael J Baine, Michael A Hollingsworth, Huijing Du, Dandan Zheng, Chi Zhang, Hongfeng Yu
Pancreatic ductal adenocarcinoma (PDAC) presents a critical global health challenge, and early detection is crucial for improving the 5-year survival rate. Recent medical imaging and computational algorithm advances offer potential solutions for early diagnosis. Deep learning, particularly in the form of convolutional neural networks (CNNs), has demonstrated success in medical image analysis tasks, including classification and segmentation. However, the limited availability of clinical data for training purposes continues to represent a significant obstacle...
November 21, 2023: Cancers
https://read.qxmd.com/read/38055011/smooth-muscle-tumours-of-the-uterus-mr-imaging-malignant-predictive-features-a-12-year-analysis-in-a-referral-hospital-in-portugal
#14
JOURNAL ARTICLE
Patrícia Freitas, Teresa Resende-Neves, Pedro Lameira, Marta Costa, Paulo Dias, Juliana Filipe, Joana Ferreira, Ana Félix, Teresa Margarida Cunha
PURPOSE: To evaluate the magnetic resonance imaging (MRI) features that may help distinguish leiomyosarcomas from atypical leiomyomas (those presenting hyperintensity on T2-W images equal or superior to 50% compared to the myometrium). MATERIALS AND METHODS: The authors conducted a retrospective single-centre study that included a total of 57 women diagnosed with smooth muscle tumour of the uterus, who were evaluated with pelvic MRI, between January 2009 and March 2020...
December 6, 2023: Archives of Gynecology and Obstetrics
https://read.qxmd.com/read/38050032/brain-age-estimation-on-a-dementia-cohort-using-flair-mri-biomarkers
#15
JOURNAL ARTICLE
Owen Crystal, Pejman J Maralani, Sandra Black, Corinne Fischer, Alan R Moody, April Khademi
BACKGROUND AND PURPOSE: The prodromal stage of Alzheimer's disease presents an imperative intervention window. This work focuses on using brain age prediction models and biomarkers from FLAIR MR imaging to identify subjects who progress to Alzheimer's disease (converting mild cognitive impairment) or those who remain stable (stable mild cognitive impairment). MATERIALS AND METHODS: A machine learning model was trained to predict the age of normal control subjects on the basis of volume, intensity, and texture features from 3239 FLAIR MRI volumes...
November 30, 2023: AJNR. American Journal of Neuroradiology
https://read.qxmd.com/read/38041747/non-contrast-enhanced-magnetic-resonance-urography-for-measuring-split-kidney-function-in-pediatric-patients-with-hydronephrosis-comparison-with-renal-scintigraphy
#16
JOURNAL ARTICLE
Kangwen He, Dongyi Wan, Shichao Li, Guanjie Yuan, Mengmeng Gao, Yunfeng Han, Zhen Li, Daoyu Hu, Xiaoyan Meng, Yonghua Niu
BACKGROUND: Split kidney function (SKF) is critical for treatment decision in pediatric patients with hydronephrosis and is commonly measured using renal scintigraphy (RS). Non-contrast-enhanced magnetic resonance urography (NCE-MRU) is increasingly used in clinical practice. This study aimed to investigate the feasibility of using NCE-MRU as an alternative to estimate SKF in pediatric patients with hydronephrosis, compared to RS. METHODS: Seventy-five pediatric patients with hydronephrosis were included in this retrospective study...
December 2, 2023: Pediatric Nephrology
https://read.qxmd.com/read/38025013/a-novel-prediction-model-based-on-quantitative-texture-analysis-of-sonographic-images-for-malignant-major-salivary-glandular-tumors
#17
JOURNAL ARTICLE
Wu-Chia Lo, Ping-Chia Cheng, Wan-Lun Hsu, Po-Wen Cheng, Li-Jen Liao
BACKGROUND: The aim of this study was to compare multiple objective ultrasound (US) texture features and develop an objective predictive model for predicting malignant major salivary glandular tumors. METHODS: From August 2007 to May 2018, 144 adult patients who had major salivary gland tumors and subsequently underwent surgery were recruited for this study. Representative brightness mode US pictures were selected for texture analysis and used to develop a prediction model...
2023: Journal of Medical Ultrasound
https://read.qxmd.com/read/37889265/radiomics-in-ct-and-mr-imaging-of-the-liver-and-pancreas-tools-with-potential-for-clinical-application
#18
REVIEW
M Álvaro Berbís, Félix Paulano Godino, Júlia Rodríguez-Comas, Enrique Nava, Roberto García-Figueiras, Sandra Baleato-González, Antonio Luna
Radiomics allows the extraction of quantitative imaging features from clinical magnetic resonance imaging (MRI) and computerized tomography (CT) studies. The advantages of radiomics have primarily been exploited in oncological applications, including better characterization and staging of oncological lesions and prediction of patient outcomes and treatment response. The potential introduction of radiomics in the clinical setting requires the establishment of a standardized radiomics pipeline and a quality assurance program...
January 2024: Abdominal Radiology
https://read.qxmd.com/read/37872687/prediction-of-prognosis-of-tongue-squamous-cell-carcinoma-based-on-clinical-mr-imaging-data-modeling
#19
JOURNAL ARTICLE
Junjie Liu, Lina Song, Jingran Zhou, Mengxing Yu, Yan Hu, Junyan Zhang, Ping Song, Yingjian Ye, Jinsong Wang, Guoyan Feng, Hongyan Guo, Peng An
Objective: Tongue squamous cell carcinoma (TSCC) is one of the most common and poor prognosis head and neck tumors. The purpose of this study is to establish a model for predicting TSCC prognosis based on clinical and MR radiomics data and to develop a nomogram. Methods: A retrospective analysis was performed on the clinical and imaging data of 211 patients with pathologically confirmed TSCC who underwent radical surgery at xx hospital from February 2011 to January 2020. Patients were divided into a study group (recurrence, metastasis, and death, n  = 76) and a control group (normal survival, n  = 135) according to 1 to 6 years of follow-up...
2023: Technology in Cancer Research & Treatment
https://read.qxmd.com/read/37871450/hybrid-cnn-transformer-network-for-interactive-learning-of-challenging-musculoskeletal-images
#20
JOURNAL ARTICLE
Lei Bi, Ulrich Buehner, Xiaohang Fu, Tom Williamson, Peter Choong, Jinman Kim
BACKGROUND AND OBJECTIVES: Segmentation of regions of interest (ROIs) such as tumors and bones plays an essential role in the analysis of musculoskeletal (MSK) images. Segmentation results can help with orthopaedic surgeons in surgical outcomes assessment and patient's gait cycle simulation. Deep learning-based automatic segmentation methods, particularly those using fully convolutional networks (FCNs), are considered as the state-of-the-art. However, in scenarios where the training data is insufficient to account for all the variations in ROIs, these methods struggle to segment the challenging ROIs that with less common image characteristics...
October 19, 2023: Computer Methods and Programs in Biomedicine
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