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SPIE medical imaging 50th anniversary: historical review of the image-guided procedures, robotic interventions, and modeling conference

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JOURNAL OF medical imaging 2022年第S1期9卷 012206页

作者： Siewerdsen, Jeffrey H. Linte, Cristian A. Johns Hopkins Univ Dept Biomed Engn Baltimore MD 21218 USA Univ Texas MD Anderson Canc Ctr Dept Imaging Phys Houston TX 77030 USA Inst Data Sci Oncol Houston TX USA Rochester Inst Technol Dept Biomed Engn Rochester NY 14623 USA

Purpose: Among the conferences comprising the medical imaging Symposium is the MI104 conference currently titled image-guided procedures, robotic interventions, and modeling, although its name has evolved through at least nine iterations over the last 30 years. Here, we discuss the important role that this forum has presented for researchers in the field during this time. Approach: The origins of the conference are traced from its roots in image Capture and Display in the late 1980s, and some of the major themes for which the conference and its proceedings have provided a valuable forum are highlighted. Results: These major themes include image display/visualization, surgical tracking/navigation, surgical robotics, interventional imaging, image registration, and modeling. Exceptional work from the conference is highlighted by summarizing keynote lectures, the top 50 most downloaded proceedings papers over the last 30 years, the most downloaded paper each year, and the papers earning student paper and young scientist awards. Conclusions: Looking forward and considering the burgeoning technologies, algorithms, and markets related to image-guided and robot-assisted interventions, we anticipate growth and ever increasing quality of the conference as well as increased interaction with sister conferences within the symposium. (C) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： image-guided interventions medical robotics image registration image visualization image display interventional imaging

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medical imaging 2024: image-guided procedures, robotic interventions, and modeling

Medical Imaging 2024: Image-Guided Procedures, Robotic Inter...

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medical imaging 2024: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510671607

The proceedings contain 82 papers. The topics discussed include: motion artifact classification for quality assessment of cochlear implant postoperative CT images;self-supervised monocular depth and ego-motion estimation for CT-bronchoscopy fusion;image guidance system for breast conserving surgery with integrated stereo camera monitoring and deformable correction;guiding endovascular catheters using electromagnetic tracking and path-based registration for brain aneurysm treatment;an augmented reality and high-speed optical tracking system for laparoscopic surgery;preliminary assessment of a convolutional neural network for localization of a radioactive source with a hand-held gamma detector;towards optimal camera positioning for navigated surgery applications based on RGBD data;and dual-camera laparoscopic imaging with super-resolution reconstruction for intraoperative hyperspectral image guidance.

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medical imaging 2023: image-guided procedures, robotic interventions, and modeling

Medical Imaging 2023: Image-Guided Procedures, Robotic Inter...

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medical imaging 2023: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510660373

The proceedings contain 87 papers. The topics discussed include: extemporaneous airway route computation during live bronchoscopic procedures;real bronchoscopic images-based bronchial nomenclature: a preliminary study;a semantic segmentation method for laparoscopic images using semantically similar groups;open source video-based hand-eye calibration;a disparity refinement framework for learning-based stereo matching methods in cross-domain setting for laparoscopic images;a high-speed hyperspectral laparoscopic imaging system;self-supervised learning and uncertainty estimation for surgical margin detection;using uncertainty quantification to improve reliability of video-based skill assessment metrics in central venous catheterization;cautery tool state detection using deep learning on intraoperative surgery videos;using object detection for surgical tool recognition in simulated open inguinal hernia repair surgery;and improved tool tracking algorithm for eye surgery based on combined color space masks.

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medical imaging 2022: image-guided procedures, robotic interventions, and modeling

Medical Imaging 2022: Image-Guided Procedures, Robotic Inter...

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medical imaging 2022: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510649439

The proceedings contain 96 papers. The topics discussed include: from tool to assistant: towards developing adaptive surgical robots for the operating room;errors of type or errors of degree? cortical point targeting in transcranial magnetic stimulation;a new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography;patient registration using intraoperative stereovision for open cranial surgery;deformable registration of mri to intraoperative cone-beam CT of the brain using a joint synthesis and registration network;design of a modular, multi-arm concentric tube robot featuring roller gears;surgical navigation system for image-guided transoral robotic surgery: a proof of concept;image-guided system for radial-probe endobronchial ultrasound bronchoscopy;and real-time flexible endoscope navigation within bladder phantom having sparse non-distinct features is enhanced with robotic control.

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medical imaging 2021: image-guided procedures, robotic interventions, and modeling

Medical Imaging 2021: Image-Guided Procedures, Robotic Inter...

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medical imaging 2021: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510640252

The proceedings contain 87 papers. The topics discussed include: ultrasound multi-needle detection using deep attention U-Net with TV regularizations;segmentation and removal of surgical instruments for background scene visualization from endoscopic / laparoscopic video;simultaneous localization and mapping for laparoscopic liver navigation - a comparative evaluation study;context encoder guided self-supervised Siamese depth estimation based on stereo laparoscopic images;stereovision surface stitching for image updating in open spine surgery;single-shot three-dimensional reconstruction for colonoscopic image analysis;joint deep learning framework for image registration and segmentation of late gadolinium enhanced MRI and cine cardiac MRI;and quantitative assessment of proton beam dose and myocardial lesion formation detected by high-resolution, ex vivo delayed contrast-enhanced MRI for treatment of ventricular tachycardia.

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Toward requirement-based performance in data-driven image analysis algorithms for robotic applications

Toward requirement-based performance in data-driven image an...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Hudak, Yuri F. Vrielink, Timo J. C. Oude van der Sommen, Fons Eindhoven Univ Technol NL-5612 AP Eindhoven Netherlands

ISBN: (纸本)9781510671614;9781510671607

Accurate and reliable medical image analysis, particularly in lung nodule segmentation, plays a crucial role in data-driven healthcare assistance technologies. Current evaluation metrics for segmentation algorithm performance, however, lack specificity to individual use cases and may not adequately assess the accuracy of 2D segmentation in context. In this preliminary work, we propose a novel evaluation approach that incorporates use case-specific evaluation metrics, focusing particularly on the spatial congruence and mass center accuracy of the nodule segmentation in the context of robot-assisted image-guided interventions. By simulating predicted segmentation masks using distortion techniques applied to ground truth masks from the LIDC-IDRI dataset, we compute the Dice score and Hausdorff distance, two common metrics for segmentation algorithm evaluation, as well as two proposed metrics, a Mass Center and a Centered Overlap score. Our preliminary findings indicate that the proposed metrics are superior to traditional ones, providing a more descriptive evaluation within the context of the intended use case. Future work will include comprehensive assessments of more extensive simulation techniques as well as the development and evaluation of a custom segmentation algorithm trained using our proposed metrics. By promoting the adoption of use case-specific metrics, we aim to improve the performance of segmentation algorithms, and ultimately, the outcome of critical healthcare procedures.

关键词： robotic interventions Segmentation Evaluation metrics System requirements

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Photoacoustic image Guidance for Laser Tonsil Ablation: Approach and Initial Results

Photoacoustic Image Guidance for Laser Tonsil Ablation: Appr...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Pacheco, Nicholas E. Gao, Shang Cleary, Kevin Shah, Rahul Zhang, Haichong Fichera, Loris Worcester Polytech Inst Dept Robot Engn 100 Inst Rd Worcester MA 01609 USA Natl Childrens Hosp Sheikh Zayed Inst Pediat Surg Innovat Washington DC USA Natl Childrens Hosp Div Pediat Otolaryngol Washington DC USA

ISBN: (纸本)9781510671614;9781510671607

Tonsillectomy, one of the most common surgical procedures worldwide, is often associated with postoperative complications, particularly bleeding. Tonsil laser ablation has been proposed as a safer alternative;however, its adoption has been limited because it can be difficult for a surgeon to visually control the thermal interactions that occur between the laser and the tissue. In this study, we propose to monitor the ablation caused by a CO2 laser on ex-vivo tonsil tissue using photoacoustic imaging. Soft tissue's unique photoacoustic spectra were used to distinguish between ablated and non-ablated tissue. Our results suggest that photoacoustic imaging is able to visualize necrosis formation and calculate the necrotic extent, offering the potential for improved tonsil laser ablation outcomes.

关键词： Photoacoustic imaging Laser Ablation Tonsil Surgery

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Surface-based Volumetric image Reconstruction for image-guided procedures Using a Data-Driven Framework

Surface-based Volumetric Image Reconstruction for Image-Guid...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Chang, Chih-Wei Pan, Shaoyan Tian, Zhen Wang, Tonghe Axente, Marian Shelton, Joseph Liu, Tian Roper, Justin Yang, Xiaofeng Emory Univ Dept Radiat Oncol Atlanta GA 30308 USA Emory Univ Winship Canc Inst Atlanta GA 30308 USA Emory Univ Dept Biomed Informat Atlanta GA 30308 USA Univ Chicago Dept Radiat & Cellular Oncol Chicago IL 60637 USA Mem Sloan Kettering Canc Ctr Dept Med Phys New York NY 10065 USA Mt Sinai Med Ctr Dept Radiat Oncol New York NY 10029 USA

ISBN: (纸本)9781510671614;9781510671607

The advent of computed tomography significantly improves patients' health regarding diagnosis, prognosis, and treatment planning and image-guided radiotherapy. However, tomographic imaging cannot achieve real-time imaging and the imaging escalates concomitant radiation doses to patients, inducing potential secondary cancer by 4%. We demonstrate the feasibility of a data-driven approach to synthesize volumetric images using patients' surface images, which can be obtained from a zero-dose surface imaging system. This study includes 500 computed tomography (CT) image sets from 50 patients. Compared to the ground truth CT, the synthetic images result in the evaluation metric values of 26.9 +/- 4.1 Hounsfield units, 39.1 +/- 1.0 dB, and 0.97 +/- 0.01 regarding the mean absolute error, peak signal-to-noise ratio, and structural similarity index measure. This approach provides a data integration solution that can potentially enable real-time imaging, which is free of radiation-induced risk and could be applied to image-guided medical procedures.

关键词： Radiotherapy Computed tomography 3D image processing Anatomy image restoration 3D image reconstruction 3D modeling Deep learning image quality Machine learning

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image Reconstruction and Tissue Separation modeling with XFEM for Surgical Visualization and Guidance

Image Reconstruction and Tissue Separation Modeling with XFE...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Pereira, Kyvia Ringel, Morgan Miga, Michael I. Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA Vanderbilt Inst Surg & Engn Nashville TN 37232 USA Vanderbilt Univ Dept Radiol & Radiol Sci Nashville TN USA Vanderbilt Univ Dept Neurol Surg Med Ctr Nashville TN USA Vanderbilt Univ Dept Otolaryngol Head & Neck Surg Med Ctr Nashville TN USA

ISBN: (纸本)9781510671614;9781510671607

Surgical procedures require precise target localization to ensure optimal outcomes and minimize patient risks. This paper presents an approach that combines eXtended Finite Element Method (XFEM) for retraction modeling with medical image updating to improve target visualization and localization accuracy in surgical guidance. XFEM is employed to simulate tissue retraction, capturing the complex mechanical behavior of tissue separation during surgery. By incorporating XFEM-derived displacement fields, a strategy for updating preoperative medical images is introduced, enabling adjustments to better visualize the tissue deformation state. XFEM's ability to model discontinuities in mechanical behavior provides a realistic representation of tissue retraction. To validate the effectiveness of the approach, experiments were conducted on tissue phantom samples. The average displacement error between the ground-truth measurements and the reconstruction using the proposed method ranged from 1.5 to 2.1 mm, with an overall average error of 1.8 +/- 1.3 mm across different phantom samples. This demonstrates improvements in target localization compared to traditional methods that do not account for tissue retraction. The integration of XFEM-based retraction modeling and displacement field-driven image updating offers an interesting tool for improving surgical guidance systems, ultimately leading to more precise and successful interventions.

关键词： eXtended Finite Element Method (XFEM) tissue retraction modeling medical image updating

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Dual-camera laparoscopic imaging with super-resolution reconstruction for intraoperative hyperspectral image guidance

Dual-camera laparoscopic imaging with super-resolution recon...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Ma, Ling Pruitt, Kelden Fei, Baowei Univ Texas Dallas Ctr Imaging & Surg Innovat Richardson TX 75083 USA Univ Texas Dallas Dept Bioengn Richardson TX 75083 USA Univ Texas Southwestern Med Ctr Dept Radiol Dallas TX 75390 USA

ISBN: (纸本)9781510671614;9781510671607

Laparoscopic and robotic surgery, as one type of minimally invasive surgery (MIS), has gained popularity due to the improved surgeon ergonomics, instrument precision, operative time, and postoperative recovery. Hyperspectral imaging (HSI) is an emerging medical imaging modality, which has proved useful for intraoperative image guidance. Snapshot hyperspectral cameras are ideal for intraoperative laparoscopic imaging because of their compact size and light weight, but low spatial resolution can be a limitation. In this work, we developed a dual-camera laparoscopic imaging system that consists of a high-resolution color camera and a snapshot hyperspectral camera, and we employed super-resolution reconstruction to fuse the images from both cameras to generate high-resolution hyperspectral images. The experimental results show that our method can significantly improve the resolution of hyperspectral images without compromising the image quality or spectral signatures. The proposed super-resolution reconstruction method is promising to promote the employment of high-speed hyperspectral imaging in laparoscopic surgery.

关键词： Hyperspectral imaging super resolution reconstruction laparoscopic surgery image guidance intraoperative

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