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Multimodal quantitative magnetic resonance imaging analysis with individualized postprocessing in patients with drug-resistant focal epilepsy and conventional visual inspection negative for epileptogenic lesions

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CLINICS 2019年 74卷 e908-e908页

作者： Abud, Lucas Giansante Velasco, Tonicarlo Rodrigues Garrido Salmon, Carlos Ernesto Sakamoto, Americo Ceiki Abud, Thiago Giansante Pessini, Rodrigo Antonio Abud, Daniel Giansante Leite, Joao Pereira dos Santos, Antonio Carlos Univ Sao Paulo Fac Med Ribeirao Preto Div Neurorradiol Ribeirao Preto SP Brazil Univ Sao Paulo Fac Med Ribeirao Preto Dept Neurol Ribeirao Preto SP Brazil Univ Sao Paulo Fac Filosofia Ciencias & Letras Ribeirao Preto Dept Fis & Matemat Ribeirao Preto SP Brazil Univ Fed Sao Paulo Escola Paulista Med Dept Diagnost Imagem Sao Paulo SP Brazil Univ Sao Paulo Fac Med Ribeirao Preto Div Ciencias Imagem & Fis Med Ribeirao Preto SP Brazil

OBJECTIVES: Approximately one-third of candidates for epilepsy surgery have no visible abnormalities on conventional magnetic resonance imaging. This is extremely discouraging, as these patients have a less favorable prognosis. We aimed to evaluate the utility of quantitative magnetic resonance imaging in patients with drug-resistant neocortical focal epilepsy and negative imaging. METHODS: A prospective study including 46 patients evaluated through individualized postprocessing of five quantitative measures: cortical thickness, white and gray matter junction signal, relaxation rate, magnetization transfer ratio, and mean diffusivity. Scalp video-electroencephalography was used to suggest the epileptogenic zone. A volumetric fluid-attenuated inversion recovery sequence was performed to aid visual inspection. A critical assessment of follow-up was also conducted throughout the study. RESULTS: In the subgroup classified as having an epileptogenic zone, individualized postprocessing detected abnormalities within the region of electroclinical origin in 9.7% to 31.0% of patients. Abnormalities outside the epileptogenic zone were more frequent, up to 51.7%. In five patients initially included with negative imaging, an epileptogenic structural abnormality was identified when a new visual magnetic resonance imaging inspection was guided by information gleaned from postprocessing. In three patients, epileptogenic lesions were detected after visual evaluation with volumetric fluid-attenuated sequence guided by video electroencephalography. CONCLUSION: Although quantitative magnetic resonance imaging analyses may suggest hidden structural lesions, caution is warranted because of the apparent low specificity of these findings for the epileptogenic zone. Conversely, these methods can be used to prevent visible lesions from being ignored, even in referral centers. In parallel, we need to highlight the positive contribution of the volumetric fluid-attenuated sequence.

关键词： Drug-Resistant Epilepsy Magnetic Resonance Imaging Multimodal Imaging computer-assisted image processing

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Resectable pancreatic ductal adenocarcinoma: association between preoperative CT texture features and metastatic nodal involvement

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CANCER IMAGING 2020年第1期20卷 17-17页

作者： Fang, Wei Huan Li, Xu Dong Zhu, Hui Miao, Fei Qian, Xiao Hua Pan, Zi Lai Lin, Xiao Zhu Shanghai Jiao Tong Univ Dept Nucl Med Sch Med Affiliated Ruijin Hosp 197 Ruijin Er Rd Shanghai 200025 Peoples R China Shanghai Jiao Tong Univ Sch Med Affiliated North Ruijin Hosp Dept Radiol Shanghai Peoples R China Fudan Univ Shanghai Canc Ctr Dept Radiol Shanghai Peoples R China Shanghai Jiao Tong Univ Sch Med Affiliated Ruijin Hosp Dept Radiol Shanghai Peoples R China Shanghai Jiao Tong Univ Inst Med Imaging Technol Sch Biomed Engn Shanghai Peoples R China

Background To explore the relationship between the lymph node status and preoperative computed tomography images texture features in pancreatic cancer. Methods A total of 155 operable pancreatic cancer patients (104 men, 51 women;mean age 63.8 +/- 9.6 years), who had undergone contrast-enhanced computed tomography in the arterial and portal venous phases, were enrolled in this retrospective study. There were 73 patients with lymph node metastases and 82 patients without nodal involvement. Four different data sets, with thin (1.25 mm) and thick (5 mm) slices (at arterial phase and portal venous phase) were analysed. Texture analysis was performed by using MaZda software. A combination of feature selection algorithms was used to determine 30 texture features with the optimal discriminative performance for differentiation between lymph node positive and negative groups. The prediction performance of the selected feature was evaluated by receiver operating characteristic (ROC) curve analysis. Results There were 10 texture features with significant differences between two groups and significance in ROC analysis were identified. They were WavEnLH_s-2(wavelet energy with rows and columns are filtered with low pass and high pass frequency bands with scale factors 2) from wavelet-based features, 135dr_LngREmph (long run emphasis in 135 direction) and 135dr_Fraction (fraction of image in runs in 135 direction) from run length matrix-based features, and seven variables of sum average from coocurrence matrix-based features (SumAverg). The ideal cutoff value for predicting lymph node metastases was 270 for WavEnLH_s-2 (positive likelihood ratio 2.08). In addition, 135dr_LngREmph and 135dr_Fraction were correlated with the ratio of metastatic to examined lymph nodes. Conclusions Preoperative computed tomography high order texture features provide a useful imaging signature for the prediction of nodal involvement in pancreatic cancer.

关键词： Texture analysis computer-assisted image processing Computed tomography Pancreatic ductal adenocarcinoma Metastases

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Relationship between CNR and visibility of anatomical structures of cone-beam computed tomography images under different exposure parameters

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DENTOMAXILLOFACIAL RADIOLOGY 2020年第5期49卷 20190336页

作者： Wang, Miss Fei Xie, Xiaoyan Li, Gang Zhang, Zuyan Peking Univ Stomatol Hosp Dept Oral & Maxillofacial Radiol Beijing Peoples R China

Objectives: The purpose of this study was to investigate the image quality of cone beam CT (CBCT) under different exposure parameters and the relationship between contrast-to-noise and visibility of eight anatomical structures. Methods: CBCT images for the evaluation of subjective image quality were acquired on an anthropopathic phantom containing a human skeleton embedded in soft tissue equivalent materials using 25 exposure protocols. Visibility of eight anatomical structures was evaluated by five independent observers. Using the SEDENTEXCT IQ image Quality phantom, the contrast-to-noise ratio (CNR) was calculated by image) software. Results: A reduction on the visibility of anatomical structures was seen under lower exposure parameters. However, for 84% of the protocols, visibility of anatomical structures remained acceptable even under some lower parameter settings. As CNR increased, the visibility of anatomical structures also increased correspondingly. A change point could be found in the CNR interval 29.42-36.51 after which the visibility of anatomical structures no longer increases with the increase of CNR. Conclusions: Although CNR decrease under a lower exposure parameter, the image quality often remained acceptable at exposure levels below the manufacture's recommended settings. It is possible to standardize subjective image quality by physical factors. Currently, it is not possible to predetermine a change point CNR value due to different CBCT machine and variation of diagnostic tasks.

关键词： cone-beam computed tomography computer-assisted radiographic image interpretation computer-assisted image processing quality control

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Statistical shape analysis of corpus callosum in delusional disorder

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PSYCHIATRY RESEARCH-NEUROIMAGING 2023年 334卷 111695-111695页

作者： Namli, Mustafa Nuray Baykara, Sema Baykara, Murat Balcioglu, Yasin Hasan Saglik Bilimleri Univ Hamidiye Fac Med Dept Psychiat Istanbul Turkiye Basaksehir Cam & Sakura City Hosp Dept Psychiat Istanbul Turkiye Firat Univ Fac Med Dept Psychiat Elazig Turkiye Erenkoy Psychiat & Neurol Training & Res Hosp Dept Psychiat Istanbul Turkiye Firat Univ Fac Med Dept Radiol Elazig Turkiye Haydarpasa Numune Training & Res Hosp Dept Radiol Istanbul Turkiye Bakirkoy Prof Mazhar Osman Training & Res Hosp Psy Dept Psychiat Forens Psychiat Unit Istanbul Turkiye Bakirkoy Prof Mazhar Osman Training & Res Hosp Psy Dept Psychiat Forens Psychiat Unit TR-34147 Istanbul Turkiye

Neurobiological foundations of delusional disorder (DD) have been studied less with neuroimaging techniques when compared to other psychotic disorders. The present study aimed to delineate the neural substrates of DD by investigating neuroanatomical characteristics of the corpus callosum (CC) with statistical shape analysis (SSA) conducted on magnetic resonance images (MRI). Twenty (female:male=1:1) DSM-5 DD patients and 20 age-and gender-matched healthy individuals were included. High-resolution 3D T1 Turbo Field Echo MRI images were scanned with a 1.5 T MR device. The landmarks that were selected to determine the shape differences in CC were identified based on previous studies. Furthermore, constructed landmarks were determined and employed to better assess regional shape differences. There was no significant difference in the CC area in the mid-sagittal images between the DD patients and controls. However, DD patients exhibited a pattern of structural CC changes in various regions. The study findings emphasizes the variable subregional nature of CC in DD patients. Future SSA studies with larger samples could shed further light on DD etiology, diagnosis, classification and treatment options.

关键词： Corpus callosum Delusional disorder Magnetic resonance imaging Neuroimaging computer-assisted image processing

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A Statistical Cerebroarterial Atlas Derived from 700 MRA Datasets

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METHODS OF INFORMATION IN MEDICINE 2013年第6期52卷 467-474页

作者： Forkert, N. D. Fiehler, J. Suniaga, S. Wersching, H. Knecht, S. Kemmling, A. Univ Med Ctr Hamburg Eppendorf Dept Diagnost & Intervent Neuroradiol D-20246 Hamburg Germany Univ Med Ctr Hamburg Eppendorf Dept Computat Neuroscience D-20246 Hamburg Germany Univ Munster Dept Epidemiol & Social Med Munster Germany Univ Munster Dept Neurol D-48149 Munster Germany Univ Munster Dept Clin Radiol Munster Germany

Objectives: The cerebroarterial system is a complex network of arteries that supply the brain cells with vitally important nutrients and oxygen. The inter-individual differences of the cerebral arteries, especially at a finer level, are still not understood sufficiently. The aim of this work is to present a statistical cerebroarterial atlas that can be used to overcome this problem. Methods: Overall, 700 Time-of-Flight (TOF) magnetic resonance angiography (MRA) datasets of healthy subjects were used for atlas generation. Therefore, the cerebral arteries were automatically segmented in each dataset and used for a quantification of the;vessel diameters. After this, each TOF MRA dataset as well as the corresponding vessel segmentation and vessel diameter dataset were registered to the MM brain atlas. Finally, the registered datasets were used to calculate a statistical cerebroarterial atlas that incorporates information about the average TOF intensity, probability for a vessel occurrence and mean vessel diameter for each voxel. Results: Visual analysis revealed that arteries with a diameter as small as 0.5 mm are well represented in the atlas with quantitative values that are within range of anatomical reference values. Moreover, a highly significant strong positive correlation between the vessel diameter and occurrence probability was found. Furthermore, it was shown that an intensity-based automatic segmentation of cerebral vessels can be considerable improved by incorporating the atlas information leading to results within the range of the inter-observer agreement. Conclusion: The presented cerebroarterial atlas seems useful for improving the understanding about normal variations of cerebral arteries, initialization of cerebrovascular segmentation methods and may even lay the foundation for a reliable quantification of subtle morphological vascular changes.

关键词： Magnetic resonance imaging angiography arteries statistical atlas computer-assisted image processing

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Synthesis of Screentone Patterns of Manga Characters

Synthesis of Screentone Patterns of Manga Characters

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IEEE International Symposium on Multimedia

作者： Koki Tsubota Daiki Ikami Kiyoharu Aizawa The University of Tokyo Tokyo Japan

ISBN: (数字)9781728156064

ISBN: (纸本)9781728156071

Manga or Japanese comics are a popular medium and their images comprise line drawings and screentones. This study investigates the screentone synthesis task that involves translation from line drawings to manga images. Screentones have regular patterns that are difficult to synthesize. To address this problem, we propose a method to translate line drawings into manga images by generating pixel-wise screentone class labels instead of generating manga images directly. To train a screentone label generator, we create paired data of line drawings and pixel-wise screentone class labels that we obtain by applying to manga images a screentone removal and a screentone classifier, respectively. We train the screentone classifier using paired data of simulated manga images and pixel-wise screentone class labels. In tests, we conduct post-processing to reduce noise in the generated pixel-wise screentone labels. Experiments show that our proposed method produces reasonable screentone patterns. In comparison with results obtained using a baseline method of image-to-image translations, our results are comparable or more visually appealing.

关键词： Manga Screentone image processing and computer vision image generation Line drawings image generation Paired Data images baseline method computer-assisted image processing synthesis

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Research on focal nodular hyperplasia with MSCT and postprocessing

Research on focal nodular hyperplasia with MSCT and postproc...

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第九届中国肿瘤微创治疗学术大会

作者： Yuan-Jian Liu Wei-Jun Fan Zhi-Dong Yuan Peng-Cheng Liu Chun-Rong Wang Wei-Qiang Yan Su-Mei Wang Jun-Hui Chen Zheng Liu Imaging Center Peking University Shenzhen Hospital State Key Laboratory of Oncology in Southern China Imaging and Interventional CenterCancer CenterSun Yat-sen University

＜正＞AIM:To investigate and evaluate the pathological features and diagnostic value of focal nodular hyperplasia （FNH） with multi-section spiral computed tomography （MSCT） and postprocessing. METHODS:A total of 25 patients with FNH who had undergone MSCT and postprocessing were included in the *** patients had been pathologically or clinically confirmed with FNH.A number of 75 cases of hepatic carcinomas,hemangiomas and adenomas were randomly selected at a same period for a comparative study. RESULTS:There was a single focus in 22 cases and multiple foci in 3 *** the plain scan,17 lesions showed hypodensity,7 isodensity and 4 hyperdensity （the case with fatty liver）.With contrast,28 lesions were enhanced evenly or in the nodules in the arterial phase;13 lesions still showed hyperdensity,11 lesions isodensity and 4 lesions hypodensity in the parenchymatous phase;in the delayed phase only 5 lesions showed hyperdensity but 9 lesions showed isodensity or slight hypodensity and 14 lesions showed *** lesions of 28 had central asteroid *** feeding arteries in postprocessing were seen in 24 lesions,and were integrated into the parenchymatous lesions with a gradual and smooth *** the contrary,there were no artery penetrated into the lesion found in any of comparative hepatic tumors. CONCLUSION:Doctors could make a correct diagnosis and differentiation of FNH on evaluation of the characteristic appearance on MSCT with postprocessing.

关键词： Angiography computer-assisted image processing Focal nodular hyperplasia Liver diseases X-ray Computed tomography

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Integrated functional and spatial profiling of tumour immune responses induced by immunotherapy: the iPROFILER platform

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Immuno-Oncology and Technology 2021年 10卷 100034-100034页

作者： Koelzer, V.H. Herzig, P. Zlobec, I. Heinzelmann, V. Lardinois, D. Walseng, E. Rader, C. Mertz, K.D. Zippelius, A. Thommen, D.S. Department of Pathology and Molecular Pathology University Hospital Zurich University of Zurich Switzerland Department of Biomedicine University Hospital Basel University of Basel Switzerland Institute of Pathology University of Bern Switzerland Department of Gynaecology and Obstetrics University Hospital Basel Switzerland Department of Surgery University Hospital Basel Switzerland Department of Immunology and Microbiology The Scripps Research Institute Jupiter United States Institute of Pathology Cantonal Hospital Baselland Switzerland Medical Oncology University Hospital Basel Switzerland Division of Molecular Oncology and Immunology Netherlands Cancer Institute Amsterdam Netherlands

Background: Cancer immunotherapy elicits functional activation and changes in immune cell distribution in cancer. Tumour heterogeneity is a reason for treatment failure but is difficult to capture in experimental settings. This proof-of-principle study describes the integrated functional and digital spatial profiling platform iPROFILER to capture in-situ immune activation patterns with high precision. Materials and methods: iPROFILER combines an algorithm-based image analysis approach for spatial profiling with functional analyses of patient-derived tumour fragments (PDTFs). This study utilized a folate receptor 1 (FOLR1)xCD3 bispecific antibody in dual-affinity re-targeting (DART) format as a tool for inducing T-cell responses in patient tumour samples, and an in-depth investigation of the immune perturbations induced in the tumour microenvironment was performed. Results: Ex-vivo DART stimulation induces upregulation of multiple activation markers in CD4+ and CD8+ T-cell populations and secretion of pro-inflammatory cytokines in FOLR1-positive tumour specimens. This response was reduced or absent in tissue samples that did not express FOLR1. Immunological responses were driven by a strong induction of interferon gamma (IFNγ) and IFNγ-induced chemokines suggestive of activation of cytotoxic or Th1-like T cells. Ex-vivo DART treatment led to a numerical increase in effector T cells and an upregulation of immune activation markers in the tumour microenvironment as captured by digital image analysis. Analysis of immune activation in tumour and stromal regions further supported the potential of the platform to measure local differences in cell-type-specific activation patterns. Conclusions: iPROFILER effectively combines functional and spatial readouts to investigate immune responses ex vivo in human tumour samples. © 2021 The Authors

关键词： computer-assisted image processing digital pathology Ex-vivo models immunotherapy tumour biomarkers tumour microenvironment

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THREE-DIMENSIONAL RECONSTRUCTION OF NON-HODGKIN'S LYMPHOMA IN BONE MARROW TREPHINES

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The Journal of Pathology 2001年第4期181卷

作者： JONATHAN R. SALISBURY MARK H. DEVERELL JANE M. SEATON M. JOHN COOKSON Department of Histopathology King's College School of Medicine and Dentistry Bessemer Road London SE5 9PJ U.K. The Quarterjack Surgery Wimborne Dorset BH21 1AP U.K. Department of Morbid Anatomy St Bartholomew's and the Royal London School of Medicine and Dentistry Turner Street London E1 2AD U.K.

The objective of this study was to analyse the location in the bone marrow of deposits of low-grade non-Hodgkin's lymphoma. This was achieved using computer-generated three-dimensional reconstruction techniques applied to serial tissue sections of five bone marrow trephines involved by lymphoma. For comparative purposes, previously published three-dimensional models of benign lymphoid aggregates in the bone marrow were used. The images generated by this new study showed that deposits of low-grade non-Hodgkin's lymphoma involving the bone marrow always assumed a paratrabecular pattern of infiltration at some point. This is in direct contrast to the pattern of bone marrow infiltration shown by benign lymphoid aggregates. It is concluded that location within the marrow space is a crucial factor in distinguishing between benign and low-grade malignant lymphoid infiltrates in the bone marrow. © 1997 by John Wiley & Sons, Ltd.

关键词： bone marrow non-Hodgkin's lymphoma structural models computer-assisted image processing

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