International Journal of Computer Assisted Radiology and Surgery International Journal of Computer Assisted Radiology and Surgery RSS feedThis 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.

Surgical-DINO: adapter learning of foundation models for depth estimation in endoscopic surgery
ConclusionSurgical-DINO shed some light on the successful adaptation of the foundation models into the surgical domain for depth estimation. There is clear evidence in the results that zero-shot prediction on pre-trained weights in computer vision datasets or naive fine-tuning is not sufficient to use the foundation model in the surgical domain directly. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 8, 2024 Category: Intensive Care Source Type: research

Assistance by adaptative damping on a complex bimanual task in laparoscopic surgery
ConclusionAdaptative damping applied by comanipulated robots does not influence the performance of the task, but improves the performance of the gesture itself, particularly for the non-dominant hand, and during the realisation of a complex task like suturing. For residents in digestive surgery, this assistance does increase workload, and they would use this help in the operating room under certain conditions. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 7, 2024 Category: Intensive Care Source Type: research

The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy
ConclusionsThe improvement in biopsy sampling performance for intra-procedure planning has not been observed in experiments with only pre-procedure planning. These findings suggest a strong role for RL in future prospective studies which adopt intra-procedure planning. Our open source code implementation is availablehere. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 7, 2024 Category: Intensive Care Source Type: research

OCT-based intra-cochlear imaging and 3D reconstruction: ex vivo validation of a robotic platform
ConclusionOverall, the system shows great potential for intra-cochlear guidance and diagnostics, due to the system ’s capability for precise and stable insertion into the basal turn in the scala tympani. The system, combined with the calibration procedure, results in detailed and precise 3D reconstructions. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 4, 2024 Category: Intensive Care Source Type: research

Subtracting –adding strategy for necrotic lesion segmentation in osteonecrosis of the femoral head
ConclusionsThe “subtracting–adding” strategy enhances the performance of general-purpose networks in necrotic lesion segmentation. This strategy is compatible with various semantic segmentation networks, alleviating the need to design task-specific models. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 2, 2024 Category: Intensive Care Source Type: research

Thickness and design features of clinical cranial implants —what should automated methods strive to replicate?
ConclusionsFor implant modelers or manufacturers, this shape analysis quantified differences of cranial implants (thickness, rim width, surface area, and volume) to help guide future automated design algorithms. After skull completion, a thicker implant can be more versatile for cases involving muscle hollowing or thin skulls, and wider rims can smooth over the defect margins to provide more stability. For clinicians, the differing measurements and implant designs can help inform the options available for their patient specific treatment. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 2, 2024 Category: Intensive Care Source Type: research

Robotic system for nasopharyngeal swab sampling based on remote center of motion mechanism
ConclusionThis study confirmed that the RCM-based robotic system is effective and safe for NP swab sampling while using minimal DOFs. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 22, 2024 Category: Intensive Care Source Type: research

Catheter navigation support for mechanical thrombectomy guidance: 3D/2D multimodal catheter-based registration with no contrast dye fluoroscopy
ConclusionA new registration method compatible with no contrast dye fluoroscopy has been proposed to guide the crossing from aortic arch to a carotid in mechanical thrombectomy. First evaluation showed the feasibility and accuracy of the method as well as its compatibility with clinical routine practice. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 22, 2024 Category: Intensive Care Source Type: research

Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection
ConclusionThis paper investigated the effect of skip connections on the basal ganglia segmentation and revealed the crossover-typed skip connections might be effective for improving the segmentation of basal ganglia with the class imbalance and the unclear boundaries. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 22, 2024 Category: Intensive Care Source Type: research

Computer-assisted preoperative planning system with an automated registration method in prosthesis-driven oral implantology
ConclusionsThe proposed method proved to be accurate and robust. The results indicate that it can achieve higher efficiency while maintaining a low error level, which will have great potential clinical applications in the future. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 22, 2024 Category: Intensive Care Source Type: research

Automatic image registration on intraoperative CBCT compared to Surface Matching registration on preoperative CT for spinal navigation: accuracy and workflow
ConclusionAutomatic image registration for spinal navigation using Universal AIR and intraoperative 3D imaging provided improved accuracy compared to Surface Matching registration. In addition, it minimizes user errors and offers a standardized workflow, making it a reliable registration method for navigated spinal procedures. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 20, 2024 Category: Intensive Care Source Type: research

Detection support of lesions in patients with prostate cancer using $${}_{{}}^{18} {\text{F}}$$ -PSMA 1007 PET/CT
ConclusionThis study demonstrated the effectiveness of the use of non-image information, including metadata of the patient and location information of the input slice image, in the detection of prostate cancer from\({}_{{}}^{18} {\text{F}}\)-PSMA 1007 PET/CT images. Improvement in the sensitivity of inactive and small lesions remains a future challenge. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 8, 2024 Category: Intensive Care Source Type: research

Stereo matching of binocular laparoscopic images with improved densely connected neural architecture search
ConclusionOur proposed approach leverages the neural architecture search technique and a densely connected search space for automatic neural architecture design in stereo matching of binocular laparoscopic images. Our method delivers advanced performance on the SCARED dataset and promising results on the SERV-CT dataset. These findings demonstrate the potential of our approach for improving clinical surgical navigation systems. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 30, 2024 Category: Intensive Care Source Type: research

Surgical phase and instrument recognition: how to identify appropriate dataset splits
ConclusionIn highly unbalanced class distributions, special care should be taken with respect to the selection of an appropriate dataset split because it can greatly influence the assessments of machine learning approaches. Our interactive tool allows for determination of better splits to improve current practices in the field. The live application is available athttps://cardio-ai.github.io/endovis-ml/. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 29, 2024 Category: Intensive Care Source Type: research

Hybrid representation-enhanced sampling for Bayesian active learning in musculoskeletal segmentation of lower extremities
ConclusionOur sampling method is proven efficient in reducing annotation costs in image segmentation tasks. The combination of the proposed method and our BAL framework provides a semi-automatic way for efficient annotation of medical image datasets. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 29, 2024 Category: Intensive Care Source Type: research