Objective: The purpose of this study is to propose a complete methodology for automatically registering three-dimensional (3D) pre-operative and post-operative CT scan dental volumes as well as to provide a toolset for quantifying and evaluating their volumetric differences.
Methods: The proposed methodology was applied to cone beam CT (CBCT) data from 20 patients in order to assess the volume of augmented bone in the alveolar region. In each case, the pre-operative and post-operative data were registered using a 3D affine-based scheme. The performance of the 3D registration algorithm was evaluated by measuring the average distance between the edges of the registered sets. The differences between the registered sets were assessed through 3D subtraction radiography. The volume of the differences was finally evaluated by defining regions of interest in each slice of the subtracted 3D data and by combining all respective slices to model the desired volume of interest. The effectiveness of the algorithm was verified by applying it to several reference standard-shaped objects with known volumes.
Results: Satisfactory alignment was achieved as a low average offset of 1.483 ± 1.558 mm was recorded between the edges of the registered sets. Moreover, the estimated volumes closely matched the volumes of the reference objects used for verification, as the recorded volume differences were less than 0.4 mm(3) in all cases.
Conclusion: The proposed method allows for automatic registration of 3D CBCT data sets and the volumetric assessment of their differences in particular areas of interest. The proposed approach provides accurate volumetric measurements in three dimensions, requiring minimal user interaction.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3728999 | PMC |
http://dx.doi.org/10.1259/dmfr/94040044 | DOI Listing |
Clin J Pain
January 2025
Department of Neurosurgery, University of Nebraska Medical Center. Omaha, Nebraska.
Objective: Posterior cervical spine surgery can result in significant discomfort in the post-operative period. Post-operative pain management presents a challenge, particularly in the elderly population which is more sensitive to adverse effects from analgesia. We aimed to compare outcomes after peri-operative posterior cervical muscle plane blocks versus patients who received general anesthesia only.
View Article and Find Full Text PDFActa Chir Orthop Traumatol Cech
January 2025
University of Pisa, Department of Orthopedic and Trauma Surgery, Pisa, Italy.
Purpose Of The Study: Hand enchondromas are benign cartilage bone tumors. Curettage represents the actual gold standard for hand enchondromas. Little has been written about the effectiveness of curettage on hand functionality.
View Article and Find Full Text PDFKardiochir Torakochirurgia Pol
December 2024
Endoscopic and Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Introduction: Chest wall tumors, though rare, represent a significant subset of thoracic neoplasms, accounting for approximately 5% of thoracic and 2% of overall body neoplasms. Their management has historically posed challenges for surgeons, often leading to misdiagnosis, incomplete resection, and high complication rates. An individualized surgical approach, tailored to the specific characteristics of the disease, is crucial for optimizing outcomes.
View Article and Find Full Text PDFJ Clin Orthop Trauma
November 2024
Department of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.
Orthopedic surgery and traumatology necessitate cost-effective approaches that can be replicated across multiple venues. Finite Element (FE) simulation models have evolved as a solution, allowing for consistent investigations into biomechanical systems. Finite Element Analysis (FEA), which began in the 1950s aviation industry, has since expanded into orthopedics.
View Article and Find Full Text PDFAesthetic Plast Surg
January 2025
Division of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.
Background: Artificial intelligence (AI) technologies use a three-part strategy for facial visual enhancement: (1) Facial Detection, (2) Facial Landmark Detection, and (3) Filter Application (Chen in Arch Fac Plast Surg 21:361-367, 2019). In the context of the surgical patient population, open-source AI algorithms are capable of modifying or simulating images to present potential results of plastic surgery procedures. Our primary aim was to understand whether AI filter use may influence individuals' perceptions and expectations of post-surgical outcomes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!