International Journal of Computer Assisted Radiology and Surgery This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Design and evaluation of an anthropomorphic neck phantom for improved ultrasound diagnostics of thyroid gland tumors
ConclusionsThe proposed manufacturing technology offers a reliable and cost-effective approach to produce an anthropomorphic neck phantom for ultrasound diagnosis of the thyroid gland. The realistic simulation provided by the phantom enhances the quality and accuracy of ultrasound examinations, contributing to better training for medical professionals and improved patient care. Subsequent research efforts can concentrate on refining the fabrication process and exploring additional features to enhance the phantom ’s capabilities. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 26, 2024 Category: Intensive Care Source Type: research

Efficient EndoNeRF reconstruction and its application for data-driven surgical simulation
ConclusionWe have proposed a novel NeRF-based reconstruction framework with an emphasis on simulation purposes. Our reconstruction framework facilitates the efficient creation of high-quality surgical soft tissue 3D models. With multiple soft tissue simulations demonstrated, we show that our work has the potential to benefit downstream clinical tasks, such as surgical education. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 24, 2024 Category: Intensive Care Source Type: research

Laryngeal surface reconstructions from monocular endoscopic videos: a structure from motion pipeline for periodic deformations
ConclusionThe pre-filtering and featureless dense matching modules specialize the conventional SfM pipeline to handle the challenging laryngoscopic examinations, directly from patient videos. These 3D visualizations have the potential to improve spatial understanding of airway conditions. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 23, 2024 Category: Intensive Care Source Type: research

An investigation into augmentation and preprocessing for optimising X-ray classification in limited datasets: a case study on necrotising enterocolitis
ConclusionBased on an extensive validation of preprocessing and augmentation techniques, our work showcases the previously unreported potential of image preprocessing in AXR classification tasks with limited datasets. Our findings can be extended to other medical tasks for designing reliable classifier models with limited X-ray datasets. Ultimately, we also provide a benchmark for automated NEC detection and classification from AXRs. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 23, 2024 Category: Intensive Care Source Type: research

Stand in surgeon ’s shoes: virtual reality cross-training to enhance teamwork in surgery
ConclusionUntil now, VR applications for clinical training have focused on virtualizing existing curricula. We demonstrate how novel approaches which are not possible outside of a virtual environment, such as role swapping, may enhance the shared mental model of surgical teams by contextualizing each individual ’s role within the overall task in a time- and cost-efficient manner. As workflows grow increasingly sophisticated, we see VR curricula as being able to directly foster a shared model for success, ultimately benefiting patient outcomes through more effective teamwork in surgery. (Source: International Journal of C...
Source: International Journal of Computer Assisted Radiology and Surgery - April 20, 2024 Category: Intensive Care Source Type: research

From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery
ConclusionWe present a clinical evaluation of deep learning models trained for intraoperative tumor segmentation in breast-conserving surgery. We demonstrate that automatic contouring is limited in predicting pathology margins despite achieving high performance on quantitative metrics. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 20, 2024 Category: Intensive Care Source Type: research

EndoSRR: a comprehensive multi-stage approach for endoscopic specular reflection removal
ConclusionThe experimental results underscore the significance of proficient endoscopic specular reflection removal for enhancing visual perception and downstream tasks. The methodology and results presented in this study are poised to catalyze advancements in specular reflection removal, thereby augmenting the accuracy and safety of minimally invasive surgery. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 20, 2024 Category: Intensive Care Source Type: research

Design and navigation method of a soft robot for single-port transvesical radical prostatectomy
ConclusionsThe designed soft robot system, due to its soft structure, good flexibility, and accurate navigation, is expected to improve surgical safety and precision, thereby exhibiting significant potential for STRP. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 18, 2024 Category: Intensive Care Source Type: research

The development of a novel navigation system for reverse shoulder arthroplasty and its accuracy: a phantom and cadaveric study
ConclusionOur proposed optical navigation system successfully achieved real-time tracking of the surgical site, encompassing the patient phantom or cadaver and surgical instrument, thereby aiding surgeons in achieving precise surgical outcomes. Future study will explore the integration of robots to further enhance surgical efficiency and effectiveness. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 18, 2024 Category: Intensive Care Source Type: research

Intracranial aneurysm detection: an object detection perspective
ConclusionOur method significantly reduces the detection complexity compared to existing methods and highlights the advantages of object detection over segmentation-based approaches for aneurysm detection. It also holds potential for application to other small object detection problems. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 17, 2024 Category: Intensive Care Source Type: research

A zero-shot reinforcement learning strategy for autonomous guidewire navigation
ConclusionOur training method proved its ability to navigate unseen geometries with different characteristics, thanks to a nearly shape-invariant observation space. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 16, 2024 Category: Intensive Care Source Type: research

Performance changes due to differences among annotating radiologists for training data in computerized lesion detection
ConclusionsAlthough the performance of the CAD software after retraining varied among the annotating radiologists, no direct correlation with their experience was found. The performance trends differed according to the type of CAD software used when integrated annotations from multiple radiologists were used. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 16, 2024 Category: Intensive Care Source Type: research

Take a shot! Natural language control of intelligent robotic X-ray systems in surgery
ConclusionVoice interfaces offer a convenient, flexible way for surgeons to manipulate C-arms based on desired outcomes rather than device-specific processes. As LLMs grow increasingly capable, so too will their applications in supporting higher-level interactions with surgical assistance systems. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 15, 2024 Category: Intensive Care Source Type: research

The development and testing of a smart sensorized guide wire for catheterization in a “blood” vessel phantom to support aortic valve implementation
ConclusionsThe results show that the sensorized guide wire developed for catheterization can support aortic valve implementation. The sensor sensitivity is sufficient to detect even very small variations within the blood vessel and therefore is promising to support catheterization heart valve surgeries in future. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 15, 2024 Category: Intensive Care Source Type: research

Flow diverters treatment planning of small- and medium-sized intracranial saccular aneurysms on the internal carotid artery via constraint-based virtual deployment
ConclusionIn the typical location of small- and medium-sized saccular aneurysms, namely the ICA, our virtual FDs deployment simulation effectively balances the computational accuracy and efficiency. Combined with hemodynamics analysis, our method can accurately represent the blood flow changes within the lesion region to assist surgeons in clinical decision-making. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 15, 2024 Category: Intensive Care Source Type: research