Statistical Shape and Kinematic Modeling: From Novel Advances to Clinical Practice
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 2936
Special Issue Editors
Interests: medical image analysis; computational anatomy; clinical orthopedics; orthopedic biomechanics; clinical biomechanics; sports medicine; computer assisted orthopedic surgery; computational modeling
Interests: biological shape description and characterization; geometric morphometry; computer vision; medical image synthesis; machine learning; Bayesian inference; health innovation; medical augmented reality
2. Laboratory for Medical Information Processing (LaTIM), INSERM, Brest, France
Interests: machine learning; medical image analysis and synthesis; computational anatomy; statistical inference and data driven modeling; orthopedic biomechanics; clinical biomechanics; sports medicine; advanced imaging techniques; rehabilitation engineering; computer assisted orthopedic surgery; computational modeling
Special Issue Information
Dear Colleagues,
We invite you to contribute to the Special Issue of the journal of Applied Sciences entitled “Statistical Shape and Kinematic Modeling: From Novel Advances to Clinical Practice”, which aims to present recent developments in the translational field of computational anatomy (statistical shape and kinematics modeling of human organs and joints), its applications in clinical practice and beyond.
Medicine is evolving rapidly, with emerging applications leveraging the fields of machine learning, statistics, image analysis, and biomechanics. Statistical inferences in terms of statistical shape modeling have allowed a distributed diagnosis of the organs’ anatomical shape (geometry), biological and population variability, and its representation in imaging modalities. Kinematic information in terms of the joint motion or organ’s functional deformations has provided a deeper understanding when it comes to the diagnosis and management of musculoskeletal disorders or their treatment. The interface of statistical and kinematic modeling of human organs has recently been recognized within the research community. Emerging modeling frameworks have been applied for studying the effects of organs’ anatomical shape and pose on the etiology of multiple diseases or disorders.
The techniques involved are emerging and have promising applications towards modeling patient-specificity. Contributions to this Special Issue should focus on the innovative methods integrating the statistical approaches in shape and kinematics for solving clinical problems, validations conducted on such methods, or applications of such methods to solve specific clinical problems.
We kindly invite you to submit your research on this topic, in the form of original research papers, reviews, and perspective articles.
Prof. Emmanuel Audenaert
Dr. Tinashe Mutsvangwa
Assoc. Prof. Bhushan S. Borotikar
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Computational anatomy
- Computer aided surgery
- Computer aided diagnosis
- Statistical shape modeling
- Shape intensity modelling
- Medical image analysis
- Medical augmented reality
- Advanced imaging techniques
- Machine learning
- Data driven modeling
- Multi-class (shape, intensity/density, pose, attachment points) modeling
- Geometric morphometry
- Model-based 3D reconstruction
- Articulating models
- Musculoskeletal system
- Orthopedics and rehabilitation
- Surgical planning
- Biomechanics
- Joint kinematics
- Parameterized kinematics
- Shoulder
- Knee
- Ankle
- Spine
- Pelvis
- Hand, finger and wrist
- Elbow
- Hip
- Joint arthroplasty
- Pre-morbid shape prediction.
