Abstract：
PURPOSE:In surgical navigation, pre-operative organ models are presented to surgeons during the intervention to help them in efficiently finding their target. In the case of soft tissue, these models need to be deformed and adapted to the current situation by using intra-operative sensor data. A promising method to realize this are real-time capable biomechanical models. METHODS:We train a fully convolutional neural network to estimate a displacement field of all points inside an organ when given only the displacement of a part of the organ's surface. The network trains on entirely synthetic data of random organ-like meshes, which allows us to use much more data than is otherwise available. The input and output data are discretized into a regular grid, allowing us to fully utilize the capabilities of convolutional operators and to train and infer in a highly parallelized manner. RESULTS:The system is evaluated on in-silico liver models, phantom liver data and human in-vivo breathing data. We test the performance with varying material parameters, organ shapes and amount of visible surface. Even though the network is only trained on synthetic data, it adapts well to the various cases and gives a good estimation of the internal organ displacement. The inference runs at over 50 frames per second. CONCLUSION:We present a novel method for training a data-driven, real-time capable deformation model. The accuracy is comparable to other registration methods, it adapts very well to previously unseen organs and does not need to be re-trained for every patient. The high inferring speed makes this method useful for many applications such as surgical navigation and real-time simulation.
journal_name
Int J Comput Assist Radiol Surgauthors
Pfeiffer M,Riediger C,Weitz J,Speidel Sdoi
10.1007/s11548-019-01965-7subject
Has Abstractpub_date
2019-07-01 00:00:00pages
1147-1155issue
7eissn
1861-6410issn
1861-6429pii
10.1007/s11548-019-01965-7journal_volume
14pub_type
杂志文章abstract：PURPOSE:Non-invasive imaging assessment of cardiac function is important in cardiovascular disease diagnosis, especially for evaluation of local cardiac motion. Tagged cardiac MRI has been developed for this purpose, but evaluation of the results requires quantification and automation. METHODS:Two methods utilizing ac...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-010-0495-7
更新日期：2011-03-01 00:00:00
abstract：PURPOSE:Intra-procedural acquisition of the patient anatomy is a key technique in the context of computer-assisted interventions (CAI). Ultrasound (US) offers major advantages as an interventional imaging modality because it is real time and low cost and does not expose the patient or physician to harmful radiation. To...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-013-0962-z
更新日期：2014-05-01 00:00:00
abstract：PURPOSE:Automatic segmentation of anatomical structures and lesions from medical ultrasound images is a formidable challenge in medical imaging due to image noise, blur and artifacts. In this paper we present a segmentation technique with features highly suited to use in noisy 3D ultrasound volumes and demonstrate its ...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-015-1239-5
更新日期：2016-01-01 00:00:00
abstract：PURPOSE:Knee arthroscopy suffers from a lack of depth information and easy occlusion of the visual field. To solve these limitations, we propose an arthroscopic navigation system based on self-positioning technology, with the guidance of virtual-vision views. This system can work without any external tracking devices o...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-019-02099-6
更新日期：2020-03-01 00:00:00
abstract：PURPOSE:We propose a fully automated method for detection and segmentation of the abnormal tissue associated with brain tumour (tumour core and oedema) from Fluid- Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Imaging (MRI). METHODS:The method is based on superpixel technique and classification of each supe...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-016-1483-3
更新日期：2017-02-01 00:00:00
abstract：PURPOSE:In the medical field, radiologists need more informative and high-quality medical images to diagnose diseases. Image fusion plays a vital role in the field of biomedical image analysis. It aims to integrate the complementary information from multimodal images, producing a new composite image which is expected t...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-017-1692-4
更新日期：2018-02-01 00:00:00
abstract：PURPOSE:Accurate needle tracking provides essential information for MRI-guided percutaneous interventions. Passive needle tracking using MR images is challenged by variations of the needle-induced signal void feature in different situations. This work aimed to develop an automatic needle tracking algorithm for MRI-guid...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-020-02226-8
更新日期：2020-10-01 00:00:00
abstract：PURPOSE:Epidural and spinal needle insertions, as well as facet joint denervation and injections are widely performed procedures on the lumbar spine for delivering anesthesia and analgesia. Ultrasound (US)-based approaches have gained popularity for accurate needle placement, as they use a non-ionizing, inexpensive and...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-017-1552-2
更新日期：2017-06-01 00:00:00
abstract：PURPOSE:Focal therapy in low-risk prostate cancer may provide the best balance between cancer control and quality of life preservation. As a minimally invasive approach performed under TRUS guidance, brachytherapy is an appealing framework for focal therapy. However, the contrast in TRUS images is generally insufficien...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-016-1380-9
更新日期：2016-06-01 00:00:00
abstract：PURPOSE:Multimodality mammography using conventional 2D mammography and dynamic contrast-enhanced 3D magnetic resonance imaging (DCE-MRI) is frequently performed for breast cancer detection and diagnosis. Combination of both imaging modalities requires superimposition of corresponding structures in mammograms and MR im...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-014-0976-1
更新日期：2014-05-01 00:00:00
abstract：:Purpose The identification of abnormalities that are relatively rare within otherwise normal anatomy is a major challenge for deep learning in the semantic segmentation of medical images. The small number of samples of the minority classes in the training data makes the learning of optimal classification challenging, ...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-020-02254-4
更新日期：2020-11-01 00:00:00
abstract：PURPOSE:Many diagnostic or treatment planning applications critically depend on the successful localization of bony structures in CT images. Manual or semiautomatic bone segmentation is tedious, however, and often not practical in clinical routine. In this paper, we present a reliable and fully automatic bone segmentat...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-018-1883-7
更新日期：2019-01-01 00:00:00
abstract：PURPOSE:A frequently mentioned lack of teleoperated surgical robots is the lack of haptic feedback. Haptics are not only able to mirror force information from the situs, but also to provide spatial guidance according to a surgical plan. However, superposition of the two haptic information can lead to overlapping and ma...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-020-02118-x
更新日期：2020-03-01 00:00:00
abstract：PURPOSE:This paper presents a method to use the Smart Trocars-our new surgical instrument recognition system-or any accurate localization system of surgical instrument for acquiring intraoperative surface data. Complex laparoscopic surgeries need a proper guidance system which requires registering the preoperative data...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-017-1655-9
更新日期：2018-02-01 00:00:00
abstract：PURPOSE:The accurate and automatic localisation of SEEG electrodes is crucial for determining the location of epileptic seizure onset. We propose an algorithm for the automatic segmentation of electrode bolts and contacts that accounts for electrode bending in relation to regional brain anatomy. METHODS:Co-registered ...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-018-1740-8
更新日期：2018-06-01 00:00:00
abstract：PURPOSE:Three-dimensional (3D) printing for preoperative planning has been intensively developed in the recent years. However, the implementation of these solutions in hospitals is still difficult due to high costs, extremely expensive industrial-grade printers, and software that is difficult to obtain and learn along ...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-017-1527-3
更新日期：2017-12-01 00:00:00
abstract：PURPOSE:Objective determination of the orbital volume is important in the diagnostic process and in evaluating the efficacy of medical and/or surgical treatment of orbital diseases. Tools designed to measure orbital volume with computed tomography (CT) often cannot be used with cone beam CT (CBCT) because of inferior t...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-015-1228-8
更新日期：2016-01-01 00:00:00
abstract：PURPOSE:To evaluate the effect of image registration on the diagnostic performance of transfer learning (TL) using pretrained convolutional neural networks (CNNs) and three-phasic dynamic contrast-enhanced computed tomography (DCE-CT) for primary liver cancers. METHODS:We retrospectively evaluated 215 consecutive pati...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-019-01987-1
更新日期：2019-08-01 00:00:00
abstract：PURPOSE:In both structural and functional MRI, there is a need for accurate and reliable automatic segmentation of brain regions. Inconsistent segmentation reduces sensitivity and may bias results in clinical studies. The current study compares the performance of publicly available segmentation tools and their impact o...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-016-1433-0
更新日期：2016-11-01 00:00:00
abstract：PURPOSE:The objective of medical content-based image retrieval (CBIR) is to assist clinicians in decision making by retrieving the most similar cases to a given query image from a large database. Herein, a new method for content-based image retrieval of cone beam CT (CBCT) scans is presented. METHODS:The introduced fr...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-019-01946-w
更新日期：2019-05-01 00:00:00
abstract：PURPOSE:Robot-assisted laparoscopic radical prostatectomy (RALRP) using the da Vinci surgical robot is a common treatment for organ-confined prostate cancer. Augmented reality (AR) can help during RALRP by showing the surgeon the location of anatomical structures and tumors from preoperative imaging. Previously, we pro...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-020-02181-4
更新日期：2020-07-01 00:00:00
abstract：PURPOSE:Distance measures are required for diagnoses, therapy decision and documentation. With today's high-resolution CT and MR imaging techniques, high- quality images have become possible. Yet, manual measurement can be tedious. We present a method for automatically determining different distance-based measures on s...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-010-0519-3
更新日期：2010-11-01 00:00:00
abstract：PURPOSE:Molecular imaging is the visualization and identification of specific molecules in anatomy for insight into metabolic pathways, tissue consistency, and tracing of solute transport mechanisms. This paper presents the Molecular Imaging Data Grid (MIDG) which utilizes emerging grid technologies in preclinical mole...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-010-0524-6
更新日期：2011-03-01 00:00:00
abstract：PURPOSE:Sharing of medical data is crucial for the proper treatment of patients as it could reduce the risk of duplicated medical tests and speed up the care process if all documents are readily available. Despite great technical progress, sharing patient data while maintaining full control over the process in an inter...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-018-1819-2
更新日期：2018-11-01 00:00:00
abstract：PURPOSE:Ultrasound is increasingly being employed in different orthopedic procedures as an imaging modality for real-time guidance. Nevertheless, low signal-to-noise-ratio and different imaging artifacts continue to hamper the success of ultrasound-based procedures. Bone shadow region is an important feature indicating...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-017-1556-y
更新日期：2017-06-01 00:00:00
abstract：PURPOSE:Estimating the interaction forces of instruments and tissue is of interest, particularly to provide haptic feedback during robot-assisted minimally invasive interventions. Different approaches based on external and integrated force sensors have been proposed. These are hampered by friction, sensor size, and ste...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-018-1777-8
更新日期：2018-07-01 00:00:00
abstract：PURPOSE:Thermotherapy is a clinical procedure which delivers thermal energy to a target, and it has been applied for various medical treatments. Temperature monitoring during thermotherapy is important to achieve precise and reproducible results. Medical ultrasound can be used for thermal monitoring and is an attractiv...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-018-1744-4
更新日期：2018-06-01 00:00:00
abstract：PURPOSE:Interventions at the otobasis operate in the narrow region of the temporal bone where several highly sensitive organs define obstacles with minimal clearance for surgical instruments. Nonlinear trajectories for potential minimally invasive interventions can provide larger distances to risk structures and optimi...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-018-1712-z
更新日期：2018-05-01 00:00:00
abstract：PURPOSE:Conventional positron emission tomography can be used only preoperatively to identify lymph node metastases, and hence, these growths are difficult to locate intraoperatively. Previously, an intraoperative laparoscopic coincidence imaging system, with an external fixed detector array and a detector probe that c...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-020-02282-0
更新日期：2021-01-01 00:00:00
abstract：PURPOSE:Current surgical robotic systems are either large serial arms, resulting in higher risks due to their high inertia and no inherent limitations of the working space, or they are bone-mounted, adding substantial additional task steps to the surgical workflow. The robot presented in this paper has a handy and ligh...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-020-02306-9
更新日期：2021-01-23 00:00:00
