PLoS ONE, ISSN 1932-6203, 11/2015, Volume 10, Issue 11, p. e0143498
Hip dysplasia is characterized by insufficient femoral head coverage (FHC). Quantification of FHC is of importance as the underlying goal of the surgery to...
PERIACETABULAR OSTEOTOMY | ACETABULAR COVERAGE | RADIATION-EXPOSURE | MULTIDISCIPLINARY SCIENCES | FEMOROACETABULAR IMPINGEMENT | PELVIC RADIOGRAPHS | VERSION | RADIOGRAPHIC ANALYSIS | RELIABILITY | CANCER-RISKS | Dysplasia | Care and treatment | Research | Osteoarthritis | Computers | Surgical implants | Femur | Correlation coefficients | Joint surgery | Accuracy | Biomedical materials | Computed tomography | Surgery | Measurement techniques | Bone dysplasia | Significance | Hip joint | Correlation coefficient | Statistical analysis | Acetabulum | Regression analysis | Patients | Hip | Radiography | Biomechanics | Hospitals | Reproducibility | Correlation analysis | Radiographs | Morphology | Radiology | Reliability | Methods | Cancer
PERIACETABULAR OSTEOTOMY | ACETABULAR COVERAGE | RADIATION-EXPOSURE | MULTIDISCIPLINARY SCIENCES | FEMOROACETABULAR IMPINGEMENT | PELVIC RADIOGRAPHS | VERSION | RADIOGRAPHIC ANALYSIS | RELIABILITY | CANCER-RISKS | Dysplasia | Care and treatment | Research | Osteoarthritis | Computers | Surgical implants | Femur | Correlation coefficients | Joint surgery | Accuracy | Biomedical materials | Computed tomography | Surgery | Measurement techniques | Bone dysplasia | Significance | Hip joint | Correlation coefficient | Statistical analysis | Acetabulum | Regression analysis | Patients | Hip | Radiography | Biomechanics | Hospitals | Reproducibility | Correlation analysis | Radiographs | Morphology | Radiology | Reliability | Methods | Cancer
Journal Article
Journal of Neurochemistry, ISSN 0022-3042, 12/2013, Volume 127, Issue 5, pp. 681 - 690
The overlapping clinical features of Alzheimer's disease (AD) and Dementia with Lewy bodies (DLB) make differentiation difficult in the clinical environment....
dementia with Lewy bodies | α‐synuclein | Alzheimer's disease | biomarkers | cerebrospinal fluid | VILIP‐1 | α-synuclein | VILIP-1 | DIAGNOSIS | LOCALIZATION | BIOCHEMISTRY & MOLECULAR BIOLOGY | TAU | alpha-synuclein | NEUROSCIENCES | COGNITIVE DECLINE | CEREBROSPINAL-FLUID BIOMARKERS | CALCIUM | A-BETA | PARKINSONS-DISEASE | Diagnosis, Differential | Peptide Fragments - cerebrospinal fluid | Lewy Body Disease - diagnosis | Humans | Middle Aged | Male | tau Proteins - cerebrospinal fluid | Alzheimer Disease - cerebrospinal fluid | Plaque, Amyloid - cerebrospinal fluid | Alzheimer Disease - diagnosis | alpha-Synuclein - cerebrospinal fluid | Cerebrospinal Fluid - metabolism | Sensitivity and Specificity | Aged, 80 and over | Amyloid beta-Peptides - cerebrospinal fluid | Adult | Female | Lewy Body Disease - cerebrospinal fluid | Plaque, Amyloid - diagnosis | ROC Curve | Aged | Neurocalcin - cerebrospinal fluid | Biomarkers - cerebrospinal fluid | Neurons | Analysis | Amyloid beta-protein | Neurochemistry | Brain | Biomarkers | Alzheimers disease | Medical diagnosis | Dementia
dementia with Lewy bodies | α‐synuclein | Alzheimer's disease | biomarkers | cerebrospinal fluid | VILIP‐1 | α-synuclein | VILIP-1 | DIAGNOSIS | LOCALIZATION | BIOCHEMISTRY & MOLECULAR BIOLOGY | TAU | alpha-synuclein | NEUROSCIENCES | COGNITIVE DECLINE | CEREBROSPINAL-FLUID BIOMARKERS | CALCIUM | A-BETA | PARKINSONS-DISEASE | Diagnosis, Differential | Peptide Fragments - cerebrospinal fluid | Lewy Body Disease - diagnosis | Humans | Middle Aged | Male | tau Proteins - cerebrospinal fluid | Alzheimer Disease - cerebrospinal fluid | Plaque, Amyloid - cerebrospinal fluid | Alzheimer Disease - diagnosis | alpha-Synuclein - cerebrospinal fluid | Cerebrospinal Fluid - metabolism | Sensitivity and Specificity | Aged, 80 and over | Amyloid beta-Peptides - cerebrospinal fluid | Adult | Female | Lewy Body Disease - cerebrospinal fluid | Plaque, Amyloid - diagnosis | ROC Curve | Aged | Neurocalcin - cerebrospinal fluid | Biomarkers - cerebrospinal fluid | Neurons | Analysis | Amyloid beta-protein | Neurochemistry | Brain | Biomarkers | Alzheimers disease | Medical diagnosis | Dementia
Journal Article
The American Journal of Sports Medicine, ISSN 0363-5465, 10/2019, Volume 47, Issue 12, pp. 2966 - 2977
Background: Femoroacetabular impingement (FAI) is a complex 3-dimensional (3D) hip abnormality that can cause hip pain and osteoarthritis in young and active...
Nuclear magnetic resonance--NMR | Clinical medicine | Simulation | Patients | Surgery | Index Medicus
Nuclear magnetic resonance--NMR | Clinical medicine | Simulation | Patients | Surgery | Index Medicus
Journal Article
Computerized Medical Imaging and Graphics, ISSN 0895-6111, 2015, Volume 45, pp. 99 - 101
Abstract Spinal image analysis and computer assisted intervention have emerged as new and independent research areas, due to the importance of treatment of...
Internal Medicine | Other | Medical image computing | Spine | Spinal navigation | Computer assisted intervention | Multiple modality spine image analysis | MODELS | ENGINEERING, BIOMEDICAL | SEGMENTATION | NAVIGATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Reproducibility of Results | Humans | Magnetic Resonance Imaging - methods | Tomography, X-Ray Computed - methods | Spinal Diseases - diagnosis | Patient Positioning - methods | Spine - diagnostic imaging | Spinal Diseases - therapy | Sensitivity and Specificity | Multimodal Imaging - methods | Surgery, Computer-Assisted | Image Enhancement - methods | Spine - pathology | Biomechanics | Medical imaging equipment
Internal Medicine | Other | Medical image computing | Spine | Spinal navigation | Computer assisted intervention | Multiple modality spine image analysis | MODELS | ENGINEERING, BIOMEDICAL | SEGMENTATION | NAVIGATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Reproducibility of Results | Humans | Magnetic Resonance Imaging - methods | Tomography, X-Ray Computed - methods | Spinal Diseases - diagnosis | Patient Positioning - methods | Spine - diagnostic imaging | Spinal Diseases - therapy | Sensitivity and Specificity | Multimodal Imaging - methods | Surgery, Computer-Assisted | Image Enhancement - methods | Spine - pathology | Biomechanics | Medical imaging equipment
Journal Article
Journal of Biomechanics, ISSN 0021-9290, 2012, Volume 46, Issue 1, pp. 197 - 199
Abstract This paper studied two different regression techniques for pelvic shape prediction, i.e., the partial least square regression (PLSR) and the principal...
Physical Medicine and Rehabilitation | Regression | Principal component regression | Partial least squares regression | Pelvis | Prediction | BIOPHYSICS | ENGINEERING, BIOMEDICAL | FEMOROACETABULAR IMPINGEMENT | JOINT | Regression Analysis | Models, Biological | Humans | Female | Male | Pelvis - anatomy & histology | Principal Component Analysis | Studies | Accuracy | Population | Principal components analysis | Models | Regression analysis | Experiments
Physical Medicine and Rehabilitation | Regression | Principal component regression | Partial least squares regression | Pelvis | Prediction | BIOPHYSICS | ENGINEERING, BIOMEDICAL | FEMOROACETABULAR IMPINGEMENT | JOINT | Regression Analysis | Models, Biological | Humans | Female | Male | Pelvis - anatomy & histology | Principal Component Analysis | Studies | Accuracy | Population | Principal components analysis | Models | Regression analysis | Experiments
Journal Article
International Journal of Computer Assisted Radiology and Surgery, ISSN 1861-6410, 11/2018, Volume 13, Issue 11, pp. 1697 - 1706
To develop and validate a fully automatic method for segmentation of paraspinal muscles from 3D torso CT images.We propose a novel learning-based method to...
Medicine & Public Health | Paraspinal muscles | Segmentation | Surgery | Computer Imaging, Vision, Pattern Recognition and Graphics | Health Informatics | Random forest | Imaging / Radiology | Computer Science, general | SURGERY | MRI | ENGINEERING, BIOMEDICAL | VOLUME | AUTO-CONTEXT | THIGH | FAT | INDIVIDUAL MUSCLES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | WATER | Humans | Middle Aged | Paraspinal Muscles - diagnostic imaging | Imaging, Three-Dimensional - methods | Probability | Tomography, X-Ray Computed - methods | Male | Algorithms | Aged, 80 and over | Adult | Female | Aged | Torso - diagnostic imaging | Information science | CT imaging | Analysis
Medicine & Public Health | Paraspinal muscles | Segmentation | Surgery | Computer Imaging, Vision, Pattern Recognition and Graphics | Health Informatics | Random forest | Imaging / Radiology | Computer Science, general | SURGERY | MRI | ENGINEERING, BIOMEDICAL | VOLUME | AUTO-CONTEXT | THIGH | FAT | INDIVIDUAL MUSCLES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | WATER | Humans | Middle Aged | Paraspinal Muscles - diagnostic imaging | Imaging, Three-Dimensional - methods | Probability | Tomography, X-Ray Computed - methods | Male | Algorithms | Aged, 80 and over | Adult | Female | Aged | Torso - diagnostic imaging | Information science | CT imaging | Analysis
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2014, Volume 8679, pp. 50 - 58
Journal Article
IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, 11/2015, Volume 62, Issue 11, pp. 2665 - 2673
Goal: In the following, we will present a newly developed X-ray calibration phantom and its integration for 2-D/3-D pelvis reconstruction and subsequent...
Surface reconstruction | 2D/3D reconstruction | Three-dimensional displays | Accuracy | X-ray radiograph | prosthesis | orthopedics | Planning | Calibration | Pelvis | X-ray imaging | cup | planning | pelvis | SYSTEM | ENGINEERING, BIOMEDICAL | ACCURACY | TOTAL HIP-ARTHROPLASTY | X-RAYS | 2-D/3-D reconstruction | MAGNIFICATION | Cup | Humans | Middle Aged | Hip Prosthesis | Imaging, Three-Dimensional - methods | Tomography, X-Ray Computed - methods | Male | Pelvis - diagnostic imaging | Young Adult | Adolescent | Aged, 80 and over | Adult | Female | Aged | Phantoms, Imaging | Tomography, X-Ray Computed - instrumentation | Estate planning | Breasts | Reconstruction | Surgical implants | Strategy | Mathematical models | Patients | Three dimensional
Surface reconstruction | 2D/3D reconstruction | Three-dimensional displays | Accuracy | X-ray radiograph | prosthesis | orthopedics | Planning | Calibration | Pelvis | X-ray imaging | cup | planning | pelvis | SYSTEM | ENGINEERING, BIOMEDICAL | ACCURACY | TOTAL HIP-ARTHROPLASTY | X-RAYS | 2-D/3-D reconstruction | MAGNIFICATION | Cup | Humans | Middle Aged | Hip Prosthesis | Imaging, Three-Dimensional - methods | Tomography, X-Ray Computed - methods | Male | Pelvis - diagnostic imaging | Young Adult | Adolescent | Aged, 80 and over | Adult | Female | Aged | Phantoms, Imaging | Tomography, X-Ray Computed - instrumentation | Estate planning | Breasts | Reconstruction | Surgical implants | Strategy | Mathematical models | Patients | Three dimensional
Journal Article
2018, Lecture Notes in Computer Science, ISBN 9783319741130, Volume 10734
This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for...
Computer science | Computer communication systems | Image processing | Artificial intelligence
Computer science | Computer communication systems | Image processing | Artificial intelligence
Web Resource
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 09/2015, Volume 34, Issue 9, pp. 1890 - 1900
Cephalometric analysis is an essential clinical and research tool in orthodontics for the orthodontic analysis and treatment planning. This paper presents the...
Training | evaluation | Shape | Cephalometric analysis | Detectors | challenge | landmark detection | Dentistry | X-ray imaging | Standards | Biomedical imaging | dental X-ray images | LOCALIZATION | ENGINEERING, BIOMEDICAL | ADVANCEMENT | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | RELIABILITY | IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | FACIAL ASYMMETRY | SEGMENTATION | FRAMEWORK | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | MORPHOLOGY | Young Adult | Cephalometry - methods | Humans | Middle Aged | Adolescent | Head - diagnostic imaging | Radiography, Dental | Adult | Head - anatomy & histology | Image Processing, Computer-Assisted - methods | Anatomic Landmarks - diagnostic imaging | Child | Radiography | Usage | Cephalometry | Diagnostic imaging | Research | Orthodontics
Training | evaluation | Shape | Cephalometric analysis | Detectors | challenge | landmark detection | Dentistry | X-ray imaging | Standards | Biomedical imaging | dental X-ray images | LOCALIZATION | ENGINEERING, BIOMEDICAL | ADVANCEMENT | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | RELIABILITY | IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | FACIAL ASYMMETRY | SEGMENTATION | FRAMEWORK | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | MORPHOLOGY | Young Adult | Cephalometry - methods | Humans | Middle Aged | Adolescent | Head - diagnostic imaging | Radiography, Dental | Adult | Head - anatomy & histology | Image Processing, Computer-Assisted - methods | Anatomic Landmarks - diagnostic imaging | Child | Radiography | Usage | Cephalometry | Diagnostic imaging | Research | Orthodontics
Journal Article
Clinical Orthopaedics and Related Research, ISSN 0009-921X, 02/2013, Volume 471, Issue 2, pp. 417 - 421
Journal Article
52.
Full Text
Efficient light redirection via stretched field resonance in dielectric meta-resonator
OPTICS EXPRESS, ISSN 1094-4087, 10/2019, Volume 27, Issue 22, pp. 32846 - 32854
Light redirection plays an important role in photonic integrated circuit system, which attracts much attention on account of thriving application prospects...
METAMATERIAL | DOUBLE DIRAC CONES | CHIP | OPTICS | PHOTONIC CRYSTALS
METAMATERIAL | DOUBLE DIRAC CONES | CHIP | OPTICS | PHOTONIC CRYSTALS
Journal Article
Medical Image Analysis, ISSN 1361-8415, 12/2015, Volume 26, Issue 1, pp. 173 - 184
This paper addresses the issue of fully automatic segmentation of a hip CT image with the goal to preserve the joint structure for clinical applications in hip...
Multi-atlas | Segmentation | Graph cut | Graph search | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SHAPE MODELS | AUTOMATIC SEGMENTATION | BONE SEGMENTATION | ENGINEERING, BIOMEDICAL | FIELD | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Hip Joint - diagnostic imaging | Reproducibility of Results | Algorithms | Radiographic Image Interpretation, Computer-Assisted - methods | Humans | Sensitivity and Specificity | Radiographic Image Enhancement - methods | Tomography, X-Ray Computed - methods | Subtraction Technique | Arthrography - methods | Pattern Recognition, Automated - methods | CT imaging | Methods
Multi-atlas | Segmentation | Graph cut | Graph search | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SHAPE MODELS | AUTOMATIC SEGMENTATION | BONE SEGMENTATION | ENGINEERING, BIOMEDICAL | FIELD | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Hip Joint - diagnostic imaging | Reproducibility of Results | Algorithms | Radiographic Image Interpretation, Computer-Assisted - methods | Humans | Sensitivity and Specificity | Radiographic Image Enhancement - methods | Tomography, X-Ray Computed - methods | Subtraction Technique | Arthrography - methods | Pattern Recognition, Automated - methods | CT imaging | Methods
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10549, pp. 35 - 43
Conference Proceeding
55.
Full Text
Why rankings of biomedical image analysis competitions should be interpreted with care
Nature Communications, ISSN 2041-1723, 12/2018, Volume 9, Issue 1, pp. 5217 - 13
textabstractInternational challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is...
LESION SEGMENTATION | LUMEN SEGMENTATION | SEGMENTATION ALGORITHMS | PULMONARY NODULES | MRI | MULTIDISCIPLINARY SCIENCES | TRACKING | STANDARDIZED EVALUATION | VALIDATION | EVALUATION FRAMEWORK | COMPUTED-TOMOGRAPHY SCANS | Reproducibility of Results | Technology Assessment, Biomedical - standards | Biomedical Technology - classification | Image Processing, Computer-Assisted - standards | Humans | Diagnostic Imaging - classification | Biomedical Technology - standards | Biomedical Technology - methods | Image Processing, Computer-Assisted - methods | Diagnostic Imaging - standards | Diagnostic Imaging - methods | Technology Assessment, Biomedical - methods | Biomedical Research - methods | Surveys and Questionnaires | Biomedical Research - standards | Image analysis | Annotations | Medical imaging | Image processing | Reproducibility | Quality control | Best practice | Computer Science - Computer Vision and Pattern Recognition | Medical Imaging | Engineering Sciences | Bioinformatics | Image Processing | Computer Science | Signal and Image processing
LESION SEGMENTATION | LUMEN SEGMENTATION | SEGMENTATION ALGORITHMS | PULMONARY NODULES | MRI | MULTIDISCIPLINARY SCIENCES | TRACKING | STANDARDIZED EVALUATION | VALIDATION | EVALUATION FRAMEWORK | COMPUTED-TOMOGRAPHY SCANS | Reproducibility of Results | Technology Assessment, Biomedical - standards | Biomedical Technology - classification | Image Processing, Computer-Assisted - standards | Humans | Diagnostic Imaging - classification | Biomedical Technology - standards | Biomedical Technology - methods | Image Processing, Computer-Assisted - methods | Diagnostic Imaging - standards | Diagnostic Imaging - methods | Technology Assessment, Biomedical - methods | Biomedical Research - methods | Surveys and Questionnaires | Biomedical Research - standards | Image analysis | Annotations | Medical imaging | Image processing | Reproducibility | Quality control | Best practice | Computer Science - Computer Vision and Pattern Recognition | Medical Imaging | Engineering Sciences | Bioinformatics | Image Processing | Computer Science | Signal and Image processing
Journal Article
2019, Lecture Notes in Computer Science, ISBN 9783030111656, Volume 11404
eBook
International Journal of Computer Assisted Radiology and Surgery, ISSN 1861-6410, 8/2018, Volume 13, Issue 8, pp. 1151 - 1158
To present a clinical validation of a novel technology called “3X” which allows for 3D prosthesis planning and treatment evaluation in total knee arthroplasty...
Total knee arthroplasty | Clinical validation | Medicine & Public Health | 2D–3D reconstruction | Surgery | Computer Imaging, Vision, Pattern Recognition and Graphics | Health Informatics | Planning | Imaging / Radiology | Computer Science, general | Treatment evaluation | ROTATION | SURGERY | ENGINEERING, BIOMEDICAL | RECONSTRUCTION | ARTHROPLASTY | COMPUTED-TOMOGRAPHY | ACCURACY | REPLACEMENT | MODELS | SPINE | ALIGNMENT | COMPONENT | 2D-3D reconstruction | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Total knee arthroplasty | Clinical validation | Medicine & Public Health | 2D–3D reconstruction | Surgery | Computer Imaging, Vision, Pattern Recognition and Graphics | Health Informatics | Planning | Imaging / Radiology | Computer Science, general | Treatment evaluation | ROTATION | SURGERY | ENGINEERING, BIOMEDICAL | RECONSTRUCTION | ARTHROPLASTY | COMPUTED-TOMOGRAPHY | ACCURACY | REPLACEMENT | MODELS | SPINE | ALIGNMENT | COMPONENT | 2D-3D reconstruction | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal Article
International Journal of Computer Assisted Radiology and Surgery, ISSN 1861-6410, 3/2019, Volume 14, Issue 3, pp. 545 - 561
Radial 2D MRI scans of the hip are routinely used for the diagnosis of the cam type of femoroacetabular impingement (FAI) and of avascular necrosis (AVN) of...
3D reconstruction | Medicine & Public Health | Segmentation | Proximal femur | Surgery | Computer Imaging, Vision, Pattern Recognition and Graphics | Radial imaging of the hip | Health Informatics | Random forest | Deformable model | Imaging / Radiology | Computer Science, general | SURGERY | DIAGNOSIS | SHAPE MODELS | HIP-JOINT | ENGINEERING, BIOMEDICAL | FIELD | FEMOROACETABULAR IMPINGEMENT | SPARSE | OSTEONECROSIS | BONE SEGMENTATION | FRACTURES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Osteoarthritis | Usage | Diagnostic imaging
3D reconstruction | Medicine & Public Health | Segmentation | Proximal femur | Surgery | Computer Imaging, Vision, Pattern Recognition and Graphics | Radial imaging of the hip | Health Informatics | Random forest | Deformable model | Imaging / Radiology | Computer Science, general | SURGERY | DIAGNOSIS | SHAPE MODELS | HIP-JOINT | ENGINEERING, BIOMEDICAL | FIELD | FEMOROACETABULAR IMPINGEMENT | SPARSE | OSTEONECROSIS | BONE SEGMENTATION | FRACTURES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Osteoarthritis | Usage | Diagnostic imaging
Journal Article