Repositioning error in longitudinal high-resolution peripheral-quantitative computed tomography (HR-pQCT) imaging can lead to different bone volumes being assessed over time. To identify the same bone volumes at each time point, image registration is used. While cross-sectional area image registration corrects axial misalignment, 3D registration additionally corrects rotations. Other registration methods involving matched angle analysis (MA) or boundary transformations (3D-TB) can be used to limit interpolation error in 3D-registering micro-finite-element data. We investigated the effect of different image registration methods on short-term in vivo precision in adults with osteogenesis imperfecta, a collagen-related genetic disorder resulting in low bone mass, impaired quality, and increased fragility. The radii and tibiae of 29 participants were imaged twice on the same day with full repositioning. We compared the precision error of different image registration methods for density, microstructural, and micro-finite-element outcomes with data stratified based on anatomical site, motion status, and scanner generation. Regardless of the stratification, we found that image registration improved precision for total and trabecular bone mineral densities, trabecular and cortical bone mineral contents, area measurements, trabecular bone volume fraction, separation, and heterogeneity, as well as cortical thickness and perimeter. 3D registration marginally outperformed cross-sectional area registration for some outcomes, such as trabecular bone volume fraction and separation. Similarly, precision of micro-finite-element outcomes was improved after image registration, with 3D-TB and MA methods providing greatest improvements. Our regression model confirmed the beneficial effect of image registration on HR-pQCT precision errors, whereas motion had a detrimental effect on precision even after image registration. Collectively, our results indicate that 3D registration is recommended for longitudinal HR-pQCT imaging in adults with osteogenesis imperfecta. Since our precision errors are similar to those of healthy adults, these results can likely be extended to other populations, although future studies are needed to confirm this. © 2022 American Society for Bone and Mineral Research (ASBMR).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/jbmr.4541 | DOI Listing |
BMC Pregnancy Childbirth
December 2024
Department of Anesthesiology, West China Second University Hospital, Sichuan University, 20#, Section 3 Renmin Nan Road, Chengdu, Sichuan, 610041, PR China.
Background: While the line joining the posterior superior iliac spine (PSIS) intersects a relatively stable sacral vertebra, it does not directly facilitate the localization of lumbar interspace or assist in the positioning for neuraxial anesthesia. Our study aimed to explore the potential of the PSIS line as a reference point and to determine its practical applicability in clinical settings.
Methods: We consecutively enrolled pregnant women with gestational ages ranging from 24 to 38 weeks scheduled for magnetic resonance imaging (MRI) examination.
BMC Pulm Med
December 2024
Centre d'Atenció Primària Onze de Setembre. Gerència Territorial de Lleida, Institut Català de La Salut, Passeig 11 de Setembre,10 , 25005, Lleida, Spain.
Background: During the COVID-19 pandemia, the imaging test of choice to diagnose COVID-19 pneumonia as chest computed tomography (CT). However, access was limited in the hospital setting and patients treated in Primary Care (PC) could only access the chest x-ray as an imaging test. Several scientific articles that demonstrated the sensitivity of lung ultrasound, being superior to chest x-ray [Cleverley J et al.
View Article and Find Full Text PDFComput Biol Med
December 2024
Zuse Institute Berlin, Takustraße 7, Berlin, 14195, Germany.
Intensity-based 2D-3D registration methods are commonly used in musculoskeletal research and image-guided therapy to align 2D X-ray images with 3D CT scans. However, their success rate (SR) is limited by local optimization methods, which often cause the optimization of the underlying cost function to get stuck at a local minimum, resulting in false alignments. Global optimization methods aim to mitigate this problem, but despite their increasing popularity, the existing literature lacks consensus on which one is the most appropriate.
View Article and Find Full Text PDFJ Magn Reson Imaging
December 2024
Department of Radiology, Stanford University, Stanford, California, USA.
Background: Post-traumatic osteoarthritis (PTOA) often follows anterior cruciate ligament reconstruction (ACLR), leading to early cartilage degradation. Change in mean T fails to capture subject-specific spatial-temporal variations, highlighting the need for robust quantitative methods for early PTOA detection and monitoring.
Purpose/hypothesis: Develop and apply 3D T cluster analysis to ACLR and healthy knees over 2.
Int J Comput Assist Radiol Surg
December 2024
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Purpose: In laparoscopic liver surgery, registering preoperative CT-extracted 3D models with intraoperative laparoscopic video reconstructions of the liver surface can help surgeons predict critical liver anatomy. However, the registration process is challenged by non-rigid deformation of the organ due to intraoperative pneumoperitoneum pressure, partial visibility of the liver surface, and surface reconstruction noise.
Methods: First, we learn point-by-point descriptors and encode location information to alleviate the limitations of descriptors in location perception.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!