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International Journal of Computer Assisted Radiology and Surgery OnlineFirst articles

Open Access 24.04.2024 | Original Article

Efficient EndoNeRF reconstruction and its application for data-driven surgical simulation

The development of realistic robotic surgery scenes is important for VR-based surgical training. The conventional method for creating these surgery scenes involves manual creation of soft tissue models with in vivo textures by skilled artists.

verfasst von:
Yuehao Wang, Bingchen Gong, Yonghao Long, Siu Hin Fan, Qi Dou

Open Access 23.04.2024 | Original Article

An investigation into augmentation and preprocessing for optimising X-ray classification in limited datasets: a case study on necrotising enterocolitis

Deep learning (DL) is established as a very promising technology for X-ray analysis and computer-aided diagnosis (CAD), with application in a range of diverse pathologies from fracture to cancer detection [ 1 – 3 ]. The most successful cases of …

verfasst von:
Franciszek Nowak, Ka-Wai Yung, Jayaram Sivaraj, Paolo De Coppi, Danail Stoyanov, Stavros Loukogeorgakis, Evangelos B. Mazomenos

23.04.2024 | Original Article

Laryngeal surface reconstructions from monocular endoscopic videos: a structure from motion pipeline for periodic deformations

Laryngoscopy is a common procedure performed by otolaryngologists to examine the larynx, vocal folds, and other nearby anatomical structures in the airway. During a flexible laryngoscopic examination, a flexible naso-laryngoscope is slowly …

verfasst von:
Justin Regef, Likhit Talasila, Julia Wiercigroch, R. Jun Lin, Lueder A. Kahrs

20.04.2024 | Original Article

From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery

Breast cancer is the most common cancer in women, accounting for over an estimated 2 million new cases each year [ 1 ]. When discovered early, a common treatment option consists of breast-conserving surgery (BCS) followed by radiation therapy [ 2 …

verfasst von:
Chris Yeung, Tamas Ungi, Zoe Hu, Amoon Jamzad, Martin Kaufmann, Ross Walker, Shaila Merchant, Cecil Jay Engel, Doris Jabs, John Rudan, Parvin Mousavi, Gabor Fichtinger

20.04.2024 | Original Article

EndoSRR: a comprehensive multi-stage approach for endoscopic specular reflection removal

In minimally invasive surgery (MIS), endoscopy serves as a pivotal visual aid, facilitating precise lesion observation, diagnosis, and treatment. Nevertheless, the unique imaging environment presents a challenge—harsh specular reflections …

verfasst von:
Wei Li, Fucang Jia, Wenjian Liu

20.04.2024 | Original Article

Stand in surgeon’s shoes: virtual reality cross-training to enhance teamwork in surgery

Teamwork is a critical component of surgical success. Poor teamwork leads to an increase in minor problems, such as difficulty finding instruments due to unpreparedness or team members’ disengagement. Although seemingly innocuous, these minor …

verfasst von:
Benjamin D. Killeen, Han Zhang, Liam J. Wang, Zixuan Liu, Constantin Kleinbeck, Michael Rosen, Russell H. Taylor, Greg Osgood, Mathias Unberath

18.04.2024 | Original Article

Design and navigation method of a soft robot for single-port transvesical radical prostatectomy

Fig. 1 a Process of LRRPC using rigid instruments; b process for soft robot-assisted radical resection of prostate cancer …

verfasst von:
Zefeng Liu, Ru Li, Yongfeng Cao, Le Xie

18.04.2024 | Original Article

The development of a novel navigation system for reverse shoulder arthroplasty and its accuracy: a phantom and cadaveric study

Reverse shoulder arthroplasty (RSA) can offer excellent therapy to patients with shoulder joint diseases, including proximal humerus fractures and glenoid bone loss [ 1 ]. Data indicate that RSA surgery is currently in great demand as the …

verfasst von:
Qiyang Zhu, Chenkai Li, Xingqi Fan, Haitao Li, Qingxiang Hu, Yaohua He, Xiaojun Chen

17.04.2024 | Review Article

Intracranial aneurysm detection: an object detection perspective

Intracranial aneurysms are abnormal focal dilations of cerebral blood vessels. Their rupture accounts for 85% of subarachnoid hemorrhages (SAH) and is associated with high morbidity and mortality rates [ 1 ]. Early detection of unruptured …

verfasst von:
Youssef Assis, Liang Liao, Fabien Pierre, René Anxionnat, Erwan Kerrien

16.04.2024 | Original Article

A zero-shot reinforcement learning strategy for autonomous guidewire navigation

Our objective is to develop a generalized neural controller able to continuously control the rotation of a guidewire through a complex vascular tree, from its insertion point until one of the predetermined targets is reached (see Fig. 1 ). This …

verfasst von:
Valentina Scarponi, Michel Duprez, Florent Nageotte, Stéphane Cotin

Open Access 16.04.2024 | Original Article

Performance changes due to differences among annotating radiologists for training data in computerized lesion detection

Computer-aided detection (CAD) software has been developed by numerous research groups, and CAD software using machine learning, particularly deep learning, has increased in recent years [ 1 – 5 ]. The development of CAD software based on machine …

verfasst von:
Yukihiro Nomura, Shouhei Hanaoka, Naoto Hayashi, Takeharu Yoshikawa, Saori Koshino, Chiaki Sato, Momoko Tatsuta, Yuya Tanaka, Shintaro Kano, Moto Nakaya, Shohei Inui, Masashi Kusakabe, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Ryusuke Nakaoka, Akinobu Shimizu, Osamu Abe

15.04.2024 | Original Article

Take a shot! Natural language control of intelligent robotic X-ray systems in surgery

As surgical assistance systems become more capable, their user interfaces likewise grow more complicated. High-level functions may exist, but if the actual steps to use them are not obvious, then their availability is merely theoretical, or …

verfasst von:
Benjamin D. Killeen, Shreayan Chaudhary, Greg Osgood, Mathias Unberath

15.04.2024 | Original Article

The development and testing of a smart sensorized guide wire for catheterization in a “blood” vessel phantom to support aortic valve implementation

The healthy aortic valve has an opening cross section of 3–5 cm 2 to ensure satisfactory blood flow. Diseases of the valve are like aortic stenosis, with an opening cross section in a mild state of 1.5–2 cm 2 and in a severe state of less than 1 cm …2

verfasst von:
M. Berger, N. Kuhn, M. Pillei, N. Bonaros, T. Senfter

15.04.2024 | Original Article

Flow diverters treatment planning of small- and medium-sized intracranial saccular aneurysms on the internal carotid artery via constraint-based virtual deployment

Flow diverters (FDs) are devices with a high-density mesh structure designed to achieve revascularization in saccular intracranial aneurysms [ 6 ]. As a result, intracranial aneurysms (IA) are isolated from normal blood circulation and gradually …

verfasst von:
Zehua Liu, Meng Zhang, Chao Wang, Zhongxiao Wang, Xiangyun Liao, Chubin Ou, Weixin Si

13.04.2024 | Original Article

DBH-YOLO: a surgical instrument detection method based on feature separation in laparoscopic surgery

Laparoscopic Surgery (LS) is a form of Minimally Invasive Surgery (MIS), employed primarily for the examination and treatment of the gallbladder, gastrointestinal tract and pancreas. LS has significant advantages over traditional open surgery …

verfasst von:
Xiaoying Pan, Manrong Bi, Hao Wang, Chenyang Ma, Xianli He

12.04.2024 | Editorial

Minimizing possible negative effects of artificial intelligence

It may seem counterintuitive that computer-based technology, designed to emulate human thought, could be anything other than a positive boon to mankind, especially in the field of healthcare. Despite tremendous enthusiasm, there have been concerns …

verfasst von:
Leonard Berliner

12.04.2024 | Short communication

Can surgical computer vision benefit from large-scale visual foundation models?

The dominant paradigm in natural language processing (NLP) is to adapt a foundation model to the task at hand [ 1 ]. A foundation model is a large machine learning feature extraction model pretrained on a vast quantity of data and generally used …

verfasst von:
Navid Rabbani, Adrien Bartoli

10.04.2024 | Original Article

LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations

Prostate cancer (PCa) is the second most common cancer diagnosed in men worldwide. The standard of care for PCa diagnosis is the histopathological analysis of tissue samples obtained by transrectal ultrasound-guided (TRUS) biopsy. However, the …

verfasst von:
Minh Nguyen Nhat To, Fahimeh Fooladgar, Paul Wilson, Mohamed Harmanani, Mahdi Gilany, Samira Sojoudi, Amoon Jamzad, Silvia Chang, Peter Black, Parvin Mousavi, Purang Abolmaesumi

10.04.2024 | Original Article

ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry

Basal cell carcinoma (BCC) is a prevalent form of skin cancer, often occurring on the neck and face and is typically treated with surgical resection [ 16 ]. In some cases, BCC lesions can deeply infiltrate the adjacent healthy tissue which makes it …

verfasst von:
Laura Connolly, Fahimeh Fooladgar, Amoon Jamzad, Martin Kaufmann, Ayesha Syeda, Kevin Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger, Parvin Mousavi

10.04.2024 | Original Article

Create virtual dentoskeletal model by superimposing digital dental cast into cone-beam computed tomography scan

In recent years, the integration of digital technologies into dentistry has revolutionized the way dental professionals diagnose and treat their patients. One such technology is a digital dental cast, which is created by scanning a physical …

verfasst von:
Reem Shakir Mahmood, Sadiq Jafer Abbas Hamandi, Akmam Hamdy Al-Mahdi