Abstract:
PURPOSE:Glioblastoma multiforme treatment is a challenging task in clinical oncology. Convection- enhanced delivery (CED) is showing encouraging but still suboptimal results due to drug leakages. Numerical models can predict drug distribution within the brain, but require retrieving brain physical properties, such as the axon diameter distribution (ADD), through axon architecture analysis. The goal of this work was to provide an automatic, accurate and fast method for axon segmentation in electronic microscopy images based on fully convolutional neural network (FCNN) as to allow automatic ADD computation. METHODS:The segmentation was performed using a residual FCNN inspired by U-Net and Resnet. The FCNN training was performed exploiting mini-batch gradient descent and the Adam optimizer. The Dice coefficient was chosen as loss function. RESULTS:The proposed segmentation method achieved results comparable with already existing methods for axon segmentation in terms of Information Theoretic Scoring ([Formula: see text]) with a faster training (5 h on the deployed GPU) and without requiring heavy post-processing (testing time was 0.2 s with a non-optimized code). The ADDs computed from the segmented and ground-truth images were statistically equivalent. CONCLUSIONS:The algorithm proposed in this work allowed fast and accurate axon segmentation and ADD computation, showing promising performance for brain microstructure analysis for CED delivery optimization.
journal_name
Int J Comput Assist Radiol Surgauthors
Vidotto M,De Momi E,Gazzara M,Mattos LS,Ferrigno G,Moccia Sdoi
10.1007/s11548-018-01911-zsubject
Has Abstractpub_date
2019-03-01 00:00:00pages
493-499issue
3eissn
1861-6410issn
1861-6429pii
10.1007/s11548-018-01911-zjournal_volume
14pub_type
杂志文章abstract:PURPOSE:The interaction with interventional imaging systems within a sterile environment is a challenging task for physicians. Direct physician-machine interaction during an intervention is rather limited because of sterility and workspace restrictions. METHODS:We present a gesture-controlled projection display that e...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-015-1215-0
更新日期:2016-01-01 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:The goal of this study was to develop an algorithm that enhances the temporal resolution of two-dimensional color Doppler echocardiography (2D CDE) by reordering all the acquired frames and filtering out the frames corrupted by out-of-plane motion and arrhythmia. METHODS:The algorithm splits original frame seq...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-019-01926-0
更新日期:2019-04-01 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:Ultrasound (US) imaging offers advantages over other imaging modalities and has become the most widespread modality for many diagnostic and interventional procedures. However, traditional 2D US requires a long training period, especially to learn how to manipulate the probe. A hybrid interactive system based on...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-014-1113-x
更新日期:2015-07-01 00:00:00
abstract:PURPOSE:Medical imaging and in particular digital radiographic images offer a great deal of information to dentists in the clinical diagnosis and treatment processes on a daily basis. This paper presents a new method aimed to produce an accurate segmentation of dental implants and the crestal bone line in radiographic ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-012-0802-6
更新日期:2013-09-01 00:00:00
abstract:PURPOSE:StereoElectroEncephaloGraphy (SEEG) is done to identify the epileptogenic zone of the brain using several multi-lead electrodes whose positions in the brain are pre-operatively defined. Intracranial hemorrhages due to disruption of blood vessels can cause major complications of this procedure ([Formula: see tex...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-014-1004-1
更新日期:2014-11-01 00:00:00
abstract:OBJECTIVE:For planning surgical interventions at the spine affected by osteoporosis, accurate information about the local bone quality in terms of anchorage strength for implants is very important. Based on previous work on automated bone quality assessment on the proximal femur with a completely automated model-based ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-009-0287-0
更新日期:2009-05-01 00:00:00
abstract:PURPOSE:This paper proposes a method to predict the deflection of a flexible needle inserted into soft tissue based on the observation of deflection at a single point along the needle shaft. METHODS:We model the needle-tissue as a discretized structure composed of several virtual, weightless, rigid links connected by ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-015-1329-4
更新日期:2016-07-01 00:00:00
abstract:PURPOSE:In the past decade, augmented reality systems have been expected to support surgical operations by making it possible to view invisible objects that are inside or occluded by the skull, hands, or organs. However, the properties of biological tissues that are non-rigid and featureless require a large number of d...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-016-1458-4
更新日期:2016-12-01 00:00:00
abstract:PURPOSE:Regional infarction identification is important for heart disease diagnosis and management, and myocardial deformation has been shown to be effective for this purpose. Although tagged and strain-encoded MR images can provide such measurements, they are uncommon in clinical routine. On the contrary, cardiac CT i...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章,评审
doi:10.1007/s11548-016-1404-5
更新日期:2016-09-01 00:00:00
abstract:PURPOSE:This study investigates an efficient (nearly real-time) two-stage spine labeling algorithm that removes the need for an external training while being applicable to different types of MRI data and acquisition protocols. METHODS:Based solely on the image being labeled (i.e., we do not use training data), the fir...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-017-1651-0
更新日期:2017-11-01 00:00:00
abstract:PURPOSE:Real-time magnetic resonance imaging (rtMRI) guidance provides significant advantages during transcatheter aortic valve replacement (TAVR) as it provides superior real-time visualization and accurate device delivery tracking. However, performing a TAVR within an MRI scanner remains difficult due to a constraine...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-016-1421-4
更新日期:2016-10-01 00:00:00
abstract:BACKGROUNDS:Accurate three-dimensional (3D) models of lumbar vertebrae are required for image-based 3D kinematics analysis. MRI or CT datasets are frequently used to derive 3D models but have the disadvantages that they are expensive, time-consuming or involving ionizing radiation (e.g., CT acquisition). An alternative...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-010-0515-7
更新日期:2011-05-01 00:00:00
abstract:PURPOSE:This paper presents new quantitative data on a signal-to-noise ratio (SNR) study, distortion study, and targeting accuracy phantom study for our patient-mounted robot (called Arthrobot). Arthrobot was developed as an MRI-guided needle placement device for diagnostic and interventional procedures such as arthrog...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-018-1839-y
更新日期:2018-11-01 00:00:00
abstract:PURPOSE:Precise needle placement is an important task during several medical procedures. Ultrasound imaging is often used to guide the needle toward the target region in soft tissue. This task remains challenging due to the user's dependence on image quality, limited field of view, moving target, and moving needle. In ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-016-1408-1
更新日期:2016-06-01 00:00:00
abstract:PURPOSE:Multi-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propose a fully automatic method for the segmentation of multiple organs fro...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-016-1501-5
更新日期:2017-03-01 00:00:00
abstract:PURPOSE:In the last decade, there has been a great effort to bring mixed reality (MR) into the operating room to assist surgeons intraoperatively. However, progress towards this goal is still at an early stage. The aim of this paper is to propose a MR visualisation platform which projects multiple imaging modalities to...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-020-02165-4
更新日期:2020-05-01 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
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-016-1495-z
更新日期:2017-03-01 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
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-019-02111-z
更新日期:2020-03-01 00:00:00
abstract:PURPOSE:B-mode ultrasound (B-US) and strain elastography ultrasound (SE-US) images have a potential to distinguish thyroid tumor with different lymph node (LN) status. The purpose of our study is to investigate whether the application of multi-modality images including B-US and SE-US can improve the discriminability of...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-018-1796-5
更新日期:2018-10-01 00:00:00
abstract:PURPOSE:Segmenting the cardiac ventricles in magnetic resonance (MR) images is required for cardiac function assessment. Numerous segmentation methods have been developed and applied to MR ventriculography. Quantitative validation of these segmentation methods with ground truth is needed prior to clinical use, but requ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-010-0532-6
更新日期:2011-09-01 00:00:00
abstract:PURPOSE:Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In this paper, we aimed to develop a fully integrated CAD system for automated detection of p...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-017-1521-9
更新日期:2017-04-01 00:00:00
abstract:PURPOSE:Periacetabular osteotomies are a family of surgical procedures used to treat hip dysplasia. In a periacetabular osteotomy, the operating surgeon aims to increase acetabular coverage of the femoral head. The surgical correction has mechanical goals of increasing the stability of the joint and to improving the pr...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-011-0641-x
更新日期:2012-03-01 00:00:00
abstract:OBJECTIVES:Image-guided otological surgeries require minimal invasiveness and high accuracy, and these two factors usually compete with each other. Our recently developed registration method, called the STAMP method, showed minimal invasiveness with accuracy comparable to that of the current more invasive registration ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-013-0916-5
更新日期:2014-01-01 00:00:00
abstract:PURPOSE:Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery. Predicting response to NAC could reduce toxicity and delays to effective intervention. Computational analysis of dynamic contrast-enhanced magnetic resonance images (DCE-MRI) through deep convolution neural network (CNN) has shown a ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-020-02209-9
更新日期:2020-09-01 00:00:00
abstract:PURPOSE:Breast masses exhibit variability in margins, shapes, and dimensions, so their detection is a difficult task in mammographic computer-aided diagnosis. Mass detection is usually a two-step procedure: mass identification and false-positive reduction. A new method to automatically detect mass lesions in mammograph...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-011-0659-0
更新日期:2012-07-01 00:00:00
abstract:PURPOSE:Facet joint insertion is a common treatment of chronic pain in the back and spine. This procedure is often performed under fluoroscopic guidance, where the staff's repetitive radiation exposure remains an unsolved problem. Robotic ultrasound (rUS) has the potential to reduce or even eliminate the use of radiati...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-018-1759-x
更新日期:2018-06-01 00:00:00