Referencias de orientación espacial en las App de anatomía 3D

En el presente trabajo de investigación se evaluó la percepción de aplicaciones de anatomía 3D en relación a una estrategia de enseñanza basada en fundamentos cognitivos de la manipulación de imágenes digitales. Dos grupos de estudiantes ingresantes a la carrera de medicina recibieron entrenamiento en el uso de aplicaciones de software de anatomía en 3D, sólo uno de los grupos recibió información adicional sobre las limitaciones de la memoria en la retención de imágenes tridimensionales y estrategias para el uso apropiado de los controles de rotación que evitan la sobrecarga cognitiva. La percepción se evaluó con un modelo de aceptación de tecnología (TAM) y se constató una diferencia significativa entre ambos grupos a favor del grupo entrenado. Interpretamos Inferimos que la incorporación de aplicaciones de anatomía 3D en dispositivos tradicionales de pantalla 2D, tendrá mayor aceptación (es decir, probabilidad de uso futuro) cuando está acompañada de una estrategia de autoregulación para evitar los efectos de desorientación que producen las rotaciones no controladas características del uso autodidacta. In this research work the perception of 3D anatomy applications was evaluated in relation to a teaching strategy based on cognitive foundations of digital image manipulation. Two groups of students entering the medical career received training in the use of 3D anatomy software applications, only one of the groups received additional information on memory limitations in the retention of three-dimensional images and strategies for appropriate use of rotation controls that avoid cognitive overload. Perception was evaluated with a technology acceptance model (TAM) and a significant difference was found between both groups in favor of the trained group. We interpret We infer that the incorporation of 3D anatomy applications in traditional 2D screen devices will have greater acceptance (that is, probability of future use) when it is accompanied by a self-regulation strategy to avoid the disorientation effects produced by the characteristic uncontrolled rotations in self-taught use.

Patient-specific virtual reality technology for complex neurosurgical cases: illustrative cases

BACKGROUND Virtual reality (VR) offers an interactive environment for visualizing the intimate three-dimensional (3D) relationship between a patient’s pathology and surrounding anatomy. The authors present a model for using personalized VR technology, applied across the neurosurgical treatment continuum from the initial consultation to preoperative surgical planning, then to intraoperative navigation, and finally to postoperative visits, for various tumor and vascular pathologies. OBSERVATIONS Five adult patients undergoing procedures for spinal cord cavernoma, clinoidal meningioma, anaplastic oligodendroglioma, giant aneurysm, and arteriovenous malformation were included. For each case, 360-degree VR (360°VR) environments developed using Surgical Theater were used for patient consultation, preoperative planning, and/or intraoperative 3D navigation. The custom 360°VR model was rendered from the patient’s preoperative imaging. For two cases, the plan changed after reviewing the patient’s 360°VR model from one based on conventional Digital Imaging and Communications in Medicine imaging. LESSONS Live 360° visualization with Surgical Theater in conjunction with surgical navigation helped validate the decisions made intraoperatively. The 360°VR models provided visualization to better understand the lesion’s 3D anatomy, as well as to plan and execute the safest patient-specific approach, rather than a less detailed, more standardized one. In all cases, preoperative planning using the patient’s 360°VR model had a significant impact on the surgical approach.

Vestibular Organ and Cochlear Implantation–A Synchrotron and Micro-CT Study

Background: Reports vary on the incidence of vestibular dysfunction and dizziness in patients following cochlear implantation (CI). Disequilibrium may be caused by surgery at the cochlear base, leading to functional disturbances of the vestibular receptors and endolymphatic duct system (EDS) which are located nearby. Here, we analyzed the three-dimensional (3D) anatomy of this region, aiming to optimize surgical approaches to limit damage to the vestibular organ.Material and Methods: A total of 22 fresh-frozen human temporal bones underwent synchrotron radiation phase-contrast imaging (SR-PCI). One temporal bone underwent micro-computed tomography (micro-CT) after fixation and staining with Lugol's iodine solution (I2KI) to increase tissue contrast. We used volume-rendering software to create 3D reconstructions and tissue segmentation that allowed precise assessment of anatomical relationships and topography. Macerated human ears belonging to the Uppsala collection were also used. Drilling and insertion of CI electrodes was performed with metric analyses of different trajectories.Results and Conclusions: SR-PCI and micro-CT imaging demonstrated the complex 3D anatomy of the basal region of the human cochlea, vestibular apparatus, and EDS. Drilling of a cochleostomy may disturb vestibular organ function by injuring the endolymphatic space and disrupting fluid barriers. The saccule is at particular risk due to its proximity to the surgical area and may explain immediate and long-term post-operative vertigo. Round window insertion may be less traumatic to the inner ear, however it may affect the vestibular receptors.

Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach

Echo planar imaging (EPI), a fast magnetic resonance imaging technique, is a powerful tool in functional neuroimaging studies. However, susceptibility artifacts, which cause misinterpretations of brain functions, are unavoidable distortions in EPI. This paper proposes an end-to-end deep learning framework, named TS-Net, for susceptibility artifact correction (SAC) in a pair of 3D EPI images with reversed phase-encoding directions. The proposed TS-Net comprises a deep convolutional network to predict a displacement field in three dimensions to overcome the limitation of existing methods, which only estimate the displacement field along the dominant-distortion direction. In the training phase, anatomical T1-weighted images are leveraged to regularize the correction, but they are not required during the inference phase to make TS-Net more flexible for general use. The experimental results show that TS-Net achieves favorable accuracy and speed trade-off when compared with the state-of-the-art SAC methods, i.e., TOPUP, TISAC, and S-Net. The fast inference speed (less than a second) of TS-Net makes real-time SAC during EPI image acquisition feasible and accelerates the medical image-processing pipelines.

Musculoskeletal anatomy: evaluation and comparison of common teaching and learning modalities

Anatomy teaching has traditionally been based on dissection. However, alternative teaching modalities constantly emerge, the use of which along with a decrease in teaching hours has brought the anatomy knowledge of students and young doctors into question. In this way, the goal of the present study is to a. compare the efficacy of the most common teaching modalities and b. investigate students’ perceptions on each modality. In total, 313 medical students were taught gross anatomy of the upper limb, using four different learning modalities: dissection (n = 80), prosections (n = 77), plastic models (n = 84) and 3D anatomy software (n = 72). Students’ knowledge was examined by 100 multiple-choice and tag questions followed by an evaluation questionnaire. Regarding performance, the dissection and the 3D group outperformed the prosection and the plastic models group in total and multiple-choice questions. The performance of the 3D group in tag questions was also statistically significantly higher compared to the other three groups. In the evaluation questionnaire, dissection outperformed the rest three modalities in questions assessing students’ satisfaction, but also fear or stress before the laboratory. Moreover, dissection and 3D software were considered more useful when preparing for clinical activities. In conclusion, dissection remains first in students’ preferences and achieves higher knowledge acquisition. Contemporary, 3D anatomy software are considered equally important when preparing for clinical activities and mainly favor spatial knowledge acquisition. Prosections could be a valuable alternative when dissection is unavailable due to limited time or shortage of cadavers. Plastic models are less effective in knowledge acquisition but could be valuable when preparing for cadaveric laboratories. In conclusion, the targeted use of each learning modality is essential for a modern medical curriculum.