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Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling [article]

Yuta Hiasa, Yoshito Otake, Masaki Takao, Takeshi Ogawa, Nobuhiko Sugano, Yoshinobu Sato
2019 arXiv   pre-print
We evaluated the performance of the proposed method using two data sets: 20 fully annotated CTs of the hip and thigh regions and 18 partially annotated CTs that are publicly available from The Cancer Imaging  ...  We propose a method for automatic segmentation of individual muscles from a clinical CT.  ...  [13] implemented an algorithm for automated segmentation of the muscle and fat tissues from MRI using a multi-atlas method [12] . Lee et al.  ... 
arXiv:1907.08915v2 fatcat:ewaiugyn4vgb5gvjj2fk4h6oau

Thigh muscle segmentation using a hybrid FRFCM‐based multi‐atlas method and morphology‐based interpolation algorithm

Malihe Molaie, Reza Aghaeizadeh Zoroofi
2021 IET Image Processing  
In the proposed method, after noise reduction, the muscle region is extracted from other tissues by the FRFCM method. Then, an initial slice of each dataset is segmented by a multi-atlas method.  ...  As manual segmentation of these muscles is a time-consuming task, in this work, only one initial slice is segmented by a new hybrid FRFCM-based multi-atlas method and other slices are segmented based on  ...  ACKNOWLEDGMENTS The authors would like to sincerely acknowledge the valuable comments and supports of Professor Yoshinobu Sato and Dr.  ... 
doi:10.1049/ipr2.12245 fatcat:sqgfulxhkfd5vh3terueuscezy

Applications and future perspectives of deep learning in medical image analysis

2018 Iryou kikigaku (The Japanese journal of medical instrumentation)  
Takao, et al., "Automated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method" , International Journal of Computer Assisted Radiology and Surgery, ----  ...  ,"Esti-mation of attachment regions of hip muscles in CT image using muscle attachment proba-bilistic atlas constructed from measurements in eight cadavers" .  ... 
doi:10.4286/jjmi.88.490 fatcat:o5bux766nbdnxjnutpknjvjohm

Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation

Marta B.M. Ranzini, Johann Henckel, Michael Ebner, M.Jorge Cardoso, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, Alister Hart, Marc Modat
2019 Computer Methods and Programs in Biomedicine  
In this work, we combine CT and MRI for joint bone and muscle segmentation and we propose a novel Intramuscular Fat Fraction estimation method for the quantification of muscle atrophy.  ...  Finally, taking advantage of a multimodal atlas we created for this task, a multi-atlas based segmentation delineates pelvic bones, abductor muscles and implants on both modalities jointly.  ...  Automated segmentation is obtained through a 4-dimensional multi-atlas segmentation propagation approach, which combines information from both CT and MRI and employs a new atlas of implanted hips we built  ... 
doi:10.1016/j.cmpb.2019.105062 pmid:31522089 fatcat:yc23is66sbab3ernq622sxf3ku

Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets [article]

Hasnine Haque, Masahiro Hashimoto, Nozomu Uetake, Masahiro Jinzaki
2019 arXiv   pre-print
Materials and methods: Retrospective datasets consist of 48 thigh volume (TV) cropped from CT DICOM images. Cropped volumes were aligned with femur axis and resample in 2 mm voxel-spacing.  ...  A voting algorithm was used to combine the output of U-Nets to create final segmentation. 2.5D U-Net was trained on PC with 38 TV and the remaining 10 TV were used to evaluate segmentation accuracy of  ...  A recent study on automated muscle segmentation from CT of the hip and thigh muscles using hierarchical multi-atlas method [5] into 11 and 9 classes respectively was reported and achieved good segmentation  ... 
arXiv:1911.09249v1 fatcat:t3vsrh5thve3dpwahostpscdtu

Deep generative models for automated muscle segmentation in computed tomography scanning

Daisuke Nishiyama, Hiroshi Iwasaki, Takaya Taniguchi, Daisuke Fukui, Manabu Yamanaka, Teiji Harada, Hiroshi Yamada, Tao Song
2021 PLoS ONE  
This study automated GMd-region segmentation from the computed tomography (CT) images of patients diagnosed with hip osteoarthritis using deep learning and evaluated the segmentation accuracy.  ...  To this end, 5250 augmented pairs of training data were obtained from five participants, and a conditional generative adversarial network was used to identify the relationships between the image pairs.  ...  [13] proposed automated muscle segmentation of the hip joint muscle using the hierarchical multi-atlas method and by employing 3D CT data of patients with hip OA.  ... 
doi:10.1371/journal.pone.0257371 pmid:34506602 pmcid:PMC8432798 fatcat:ieqru7kwnrdifds4xz6g6z52xu

Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty

Dong Wu, Xin Zhi, Xingyu Liu, Yiling Zhang, Wei Chai
2022 Journal of Orthopaedic Surgery and Research  
The modular hierarchy method was used for the main femur segmentation to achieve better performance. A layer classifier was adopted to localise femur layers among a series of CT scan images.  ...  Accurate and rapid segmentation of the hip joint is challenging.  ...  Acknowledgements The English in this document has been checked by at least two professional editors, both native speakers of English.  ... 
doi:10.1186/s13018-022-02932-w pmid:35292056 pmcid:PMC8922800 fatcat:bhtrdxy7gva5vhpv5soa7qmni4

Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images [chapter]

Yoshito Otake, Futoshi Yokota, Norio Fukuda, Masaki Takao, Shu Takagi, Naoto Yamamura, Lauren J. O'Donnell, Carl-Fredrik Westin, Nobuhiko Sugano, Yoshinobu Sato
2017 Lecture Notes in Computer Science  
Evaluation was performed using a CT volume (1.0 mm 3 /voxel) and high resolution optical images of a serial cryo-section (0.1 mm 3 /voxel).  ...  We propose an optimization method for estimating patientspecific muscle fiber arrangement from clinical CT.  ...  The authors extend their appreciation to Prof. Min Suk Chung (Ajou University School of Medicine) for providing us the Visible Korean Human dataset.  ... 
doi:10.1007/978-3-319-66182-7_75 fatcat:5pso2nwdsjhsdi2uhslfjb6uyi

Intramuscular fat in gluteus maximus for different levels of physical activity

Martin A. Belzunce, Johann Henckel, Anna Di Laura, Alister Hart
2021 Scientific Reports  
We estimated the GMAX intramuscular fat content for each subject using automated measurements of fat fraction (FF) from Dixon images.  ...  Identifying and quantifying differences in the intramuscular fat content of GMAX in subjects with different levels of physical activity can provide a new tool to evaluate hip muscles health.  ...  Acknowledgements This research study was funded by Trustees of The London Clinic Charity, the Maurice Hatter Foundation, the Rosetrees Trust, the Stoneygate Trust, the RNOH Charity and supported by researchers  ... 
doi:10.1038/s41598-021-00790-w pmid:34725385 pmcid:PMC8560940 fatcat:xdytzfsjcbee5fe2yrncxlrpkm

Artificial intelligence, radiomics and other horizons in body composition assessment

Simona Attanasio, Sara Maria Forte, Giuliana Restante, Michela Gabelloni, Giuseppe Guglielmi, Emanuele Neri
2020 Quantitative Imaging in Medicine and Surgery  
The idea is to suggest the use of AI applications and radiomic analysis to search for features that may be extracted from medical images [computed tomography (CT) and magnetic resonance imaging (MRI)],  ...  This paper offers a brief overview of common non-invasive techniques for body composition assessment methods, and of the way images extracted by these methods can be processed with artificial intelligence  ...  Footnote Provenance and Peer Review: With the arrangement by the Guest Editors and the editorial office, this article has been reviewed by external peers.  ... 
doi:10.21037/qims.2020.03.10 pmid:32742958 pmcid:PMC7378090 fatcat:wecj2ylogfgajj3n6y3y5e2jhu

A concept for holistic whole body MRI data analysis, Imiomics

Robin Strand, Filip Malmberg, Lars Johansson, Lars Lind, Magnus Sundbom, Håkan Ahlström, Joel Kullberg, Peter Lundberg
2017 PLoS ONE  
Methods The presented image registration method utilizes relative elasticity constraints of different tissue obtained from whole-body water-fat MRI.  ...  The registration method is evaluated by inverse consistency and Dice coefficients and the Imiomics concept is evaluated by example analyses of importance for metabolic research using non-imaging parameters  ...  They use the registration method together with a multi-atlas approach to achieve a stable fat and muscle segmentation and quantification.  ... 
doi:10.1371/journal.pone.0169966 pmid:28241015 pmcid:PMC5328256 fatcat:rtfdpcjydfhkpgrjpp6aep5rse

Analysis of Large Scale CT Image Database using AI for Understanding of Musculoskeletal Anatomy and Application in Computer Assisted Surgery

Yoshito Otake, Yuta Hiasa, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato
Medical Imaging Technology  
IEEE Trans Biomed Eng 54: 1940-1950, 2007 [4] Yokota F, Otake Y, Takao M, et al.: Automated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method.  ...  .: Estimation of attachment regions of hip muscles in CT image using muscle attachment probabilistic atlas constructed from measurements in eight cadavers.  ...  We selected the volumes that contains hip region from the heterogeneous large database and applied a deep-learning-based segmentation method to understand shape features of each anatomical part including  ... 
doi:10.11409/mit.37.89 fatcat:gxlhmgc5ivbnzi3al5lxrxgkem

10th International Conference on Frailty, Sarcopenia Research Geroscience (ICFSR), March 11-13, 2020, Toulouse, France

I. Posters
2020 The Journal of frailty & aging  
Methods: New cases visited to center of comprehensive care and research for memory disorders in National Center for Geriatrics and Gerontology were enrolled to the study.  ...  Conclusion: Nurse's clinical classification of fall risks by visually obtained information predict frailty on the basis of integrated impression such as muscle strength, gait speed and balance.  ...  P257-AGE-RELATED REDUCTIONS IN THE ABILITY OF THE CNS TO RAPIDLY ACTIVATE MUSCLES IS A KEY CONTRIBUTOR TO MOBILITY LIMITATIONS. Simon Moskowitz 1 , David W.  ... 
doi:10.14283/jfa.2020.9 pmid:32150217 fatcat:3enkjl24cff3fe6o6fcxrffas4


2019 Global Spine Journal  
Recommendations: The minimum size of screw diameter that should be used is 6.5 mm with a length of 45 mm angulated between 20 and 30 from L1 to L5.  ...  Results: One hundred CT scans were used for the study with 49 males and 51 females, with an age range of 18 to 63 years.  ...  on axial CT imaging.  ... 
doi:10.1177/2192568219839731 pmid:31211024 pmcid:PMC6555104 fatcat:j5xjlgvjrjfddlzbwcwfoqseze

ECR 2015 Book of Abstracts - A - Postgraduate Educational Programme

2015 Insights into Imaging  
Implementations of multi-energy methods for material characterisation, and of CT methods for functional imaging will be discussed.  ...  The Multi-energy and functional imaging CT has reached a robustness allowing the use of this new technology in clinical routine for a variety of different clinical questions.  ...  are probabaly more clinically useful than manual or automated methods.  ... 
doi:10.1007/s13244-015-0386-0 pmid:25708993 pmcid:PMC4349897 fatcat:m7eyvqcwojfpvf3lr5hy6dwjb4
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