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International Journal of Computer Assisted Radiology and Surgery OnlineFirst articles

21-07-2021 | Original Article

Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates

The mandible is the only bone with motor function in the maxillofacial region. Its normal function is critical to ensure the actions of chewing, swallowing, pronouncing and even to maintain the shape of the face. Therefore, it is necessary to …

Authors:
Jiangchang Xu, Jiannan Liu, Dingzhong Zhang, Zijie Zhou, Xiaoyi Jiang, Chenping Zhang, Xiaojun Chen

18-07-2021 | Correction Open Access

Correction to: Toward automatic C‑arm positioning for standard projections in orthopedic surgery

The article Toward automatic C‑arm positioning for standard projections in orthopedic surgery, written by Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier‑Hein and Klaus …

Authors:
Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier‑Hein, Klaus Maier‑Hein

15-07-2021 | Original Article Open Access

Evaluation of inter- and intra-operator reliability of manual segmentation of femoral metastatic lesions

Bone is one of the most invaded tissues by the metastases of breast, prostate, lung, kidney, and thyroid cancer [ 1 ]. Approximately half of the primary tumors of these cancers metastasize to bone, with the femur, hip, spine, and skull as the most …

Authors:
Ali Ataei, Florieke Eggermont, Milan Baars, Yvette van der Linden, Jacky de Rooy, Nico Verdonschot, Esther Tanck

14-07-2021 | Original Article

Reducing reconstruction error of classified textural patches by integration of random forests and coupled dictionary nonlinear regressors: with applications to super-resolution of abdominal CT images

Authors:
Mahdieh Akbari, Amir Hossein Foruzan, Yen-Wei Chen, Hongjie Hu

12-07-2021 | Original Article

SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification

Purpose The automatic analysis of ultrasound images facilitates the diagnosis of breast cancer effectively and objectively. However, due to the characteristics of ultrasound images, it is still a challenging task to achieve analyzation …

Authors:
Guisheng Zhang, Kehui Zhao, Yanfei Hong, Xiaoyu Qiu, Kuixing Zhang, Benzheng Wei

12-07-2021 | Original Article Open Access

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

Brain Magnetic Resonance Images (MRIs) allow for three-dimensional (3D) imaging of the brain and are widely used in research and clinical practice for the diagnosis and treatment of neurological diseases. While promising technology advancements of …

Authors:
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer

10-07-2021 | Original Article

Towards accurate and interpretable surgical skill assessment: a video-based method for skill score prediction and guiding feedback generation

The modern surgery poses increasingly high requirement for the surgical skills of surgeons [ 2 ]. Therefore, more and more focus has been placed on the surgical training programs, especially within the context of Robot-assisted Minimally Invasive …

Authors:
Tianyu Wang, Minhao Jin, Mian Li

07-07-2021 | Original Article Open Access

Design of a novel tendon-driven manipulator structure based on monolithic compliant rolling-contact joint for minimally invasive surgery

Since the first laparoscopic cholecystectomy back in 1985 by the German surgeon Prof. Dr. Med Erich Mühe, the laparoscopic surgery and therefore also the minimally invasive surgery (MIS) have been continuously improved, which benefits both the …

Authors:
Dingzhi Zhang, Yilun Sun, Tim C. Lueth

04-07-2021 | Original Article

Visual Localisation for Knee Arthroscopy

Minimally Invasive Surgery (MIS) has become a worldwide standard in surgical theatres over the last two decades. Reduced tissue damage, procedure and recovery time, and improved pain management and aesthetics are the key benefits of MIS. Knee …

Authors:
Artur Banach, Mario Strydom, Anjali Jaiprakash, Gustavo Carneiro, Anders Eriksson, Ross Crawford, Aaron McFadyen

30-06-2021 | Original Article

Intra-saccular device modeling for treatment planning of intracranial aneurysms: from morphology to hemodynamics

Intracranial aneurysms are abnormal dilations in the wall of brain arteries with a high mortality and morbidity rate [ 1 , 2 ]. Nowadays, endovascular treatment with implantable devices, such as coils, flow diverters (FD), and intra-saccular …

Authors:
Nicolás Dazeo, Romina Muñoz, Ana Paula Narata, Hector Fernandez, Ignacio Larrabide

29-06-2021 | Original Article

Automatic linear measurements of the fetal brain on MRI with deep neural networks

Human fetal brain development is a complex process that involves significant changes in volume, structure, and maturation in a unique spatio-temporal pattern. Abnormal fetal brain development can have significant short and long-term consequences …

Authors:
Netanell Avisdris, Bossmat Yehuda, Ori Ben-Zvi, Daphna Link-Sourani, Liat Ben-Sira, Elka Miller, Elena Zharkov, Dafna Ben Bashat, Leo Joskowicz

26-06-2021 | Original Article

A hybrid feature-based patient-to-image registration method for robot-assisted long bone osteotomy

Orthopedic robot systems (ORSs) have been widely applied to clinical surgery of knees, hips, spines, skulls, zygomas, maxillofacial, teeth, etc., greatly improving the safety, accuracy and efficiency of traditional artificial surgery [ 1 – 4 ].

Authors:
Chunlei Zhang, Yu Liu, Yunguang Zhang, He Li

25-06-2021 | Original Article

Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation

Robot-assisted minimally invasive surgery (RMIS) has great potential in facilitating modern surgery in clinical practice. It has the advantages of less pain and quicker, better recovery compared with traditional open surgeries [ 3 ]. Given the …

Authors:
Xiaowen Kong, Yueming Jin, Qi Dou, Ziyi Wang, Zerui Wang, Bo Lu, Erbao Dong, Yun-Hui Liu, Dong Sun

24-06-2021 | Original Article

Object and anatomical feature recognition in surgical video images based on a convolutional neural network

Optimal and safe surgical methods and effective surgical education for young surgeons are challenges in surgical practice. Surgical techniques in open surgery have been considered tacit knowledge and are not available on storage devices.

Authors:
Yoshiko Bamba, Shimpei Ogawa, Michio Itabashi, Hironari Shindo, Shingo Kameoka, Takahiro Okamoto, Masakazu Yamamoto

24-06-2021 | Original Article Open Access

Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance

In recent decades, technology has helped several medical procedures to massively improve [ 1 ]; in particular, great progresses have been achieved with Deep Learning (DL) [ 2 ] paradigms. Recently, DL has acquired a fundamental role in the medical …

Authors:
Leonardo Tanzi, Pietro Piazzolla, Francesco Porpiglia, Enrico Vezzetti

22-06-2021 | Original Article Open Access

Mask-RCNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

Measuring fetal-head circumference (HC) is a common task in the clinical practice for assessing fetal growth. Ultrasound (US) imaging is the elected imaging modality for such assessment due to its accessibility and safety. Nowadays, HC measurement …

Authors:
Sara Moccia, Maria Chiara Fiorentino, Emanuele Frontoni

20-06-2021 | Original Article Open Access

MR-contrast-aware image-to-image translations with generative adversarial networks

A magnetic resonance imaging (MRI) exam typically consists of multiple sequences that yield different image tissue contrasts required for a complete and reliable diagnosis. However, the sets of sequences that are obtained vary considerably across …

Authors:
Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang

18-06-2021 | Original Article

Explaining a model predicting quality of surgical practice: a first presentation to and review by clinical experts

Although it presents many advantages for the patient compared to open surgery [ 15 ], minimally invasive surgery (MIS) is very complex and challenging for surgeons. Guidelines, good practices, and checklists are key tools to preserve the patient’s …

Authors:
Arthur Derathé, Fabian Reche, Pierre Jannin, Alexandre Moreau-Gaudry, Bernard Gibaud, Sandrine Voros

13-06-2021 | Original Article Open Access

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections

Authors:
Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin

11-06-2021 | Original Article

A study of three-dimensional reconstruction and printing models in two cases of soft tissue sarcoma of the thigh

Soft tissue sarcomas (STSs) are rare heterogeneous tumours [ 1 , 2 ] that mainly develop in the trunk, limbs and retroperitoneum, with the thigh as the most common site. Complete resection is the best way to treat STS [ 3 , 4 ]. The objective is to …

Authors:
Linqian Li, Ke Zhang, Renfeng Wang, Yun Liu, Min Zhang, Wenshan Gao, Bao Ren, Xiaozhe Zhou, Shujie Cheng, Jinghua Li