Automatic segmentation of occluded vasculature via pulsatile motion analysis in endoscopic robot-assisted partial nephrectomy video

Amir-Khalili, Alborz; Hamarneh, Ghassan; Peyrat, Jean-Marc; Abinahed, Julien; Al-Alao, Osama; Al‐Ansari, Abdulla; Abugharbieh, Rafeef

doi:10.1016/j.media.2015.04.010

Cited by 23 publications

(25 citation statements)

References 18 publications

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“…In [97], [108] the monogenic signal [191] is used to estimate the image motion vector field and track the temporal displacement of vessels in endoscopic images. The vessels are detected where the divergence of the motion vector field is high.…”

Section: A Model-basedmentioning

confidence: 99%

“…VI-A) Law et al [71] 2009 Brain & Coronary MRA & CTA Moreno et al [72] 2013 Coronary CTA Wang et al [73] 2012 Coronary CTA Cheng et al [74] 2015 Carotid,Coronary Liver, & Lung Zhu et al [75] 2009 Lung CTA Zhang et al [76] 2015 Retina CFP Patwardhan et al [77] 2012 --US [80] 2007 Brain MRA Wang et al [81] 2009 Carotid US Liang et al [82] 2015 Liver Microscopy Zhao et al [83] 2015 Retina CFP & FA Zhao et al [84] 2015 Retina CFP Wang et al [85] 2015 Retina CFP Xiao et al [86] 2013 Retina CFP Law et al [87] 2006 Retina CFP Robben et al [88] 2016 Brain MRA Tracking approaches Rempfler et al [89] 2015 Brain MRA (Sec. VII) Yureidini et al [90] 2012 Brain 3DRA Cetin et al [91] 2015 Brain MRA Coronary CTA Cetin et al [92] 2013 Brain MRA Coronary CTA Shim et al [93] 2006 Brain CTA Cherry et al [94] 2015 Colon CTA Shin et al [95] 2016 Coronary FA Carrillo et al [96] 2007 Carotid, aorto-iliac MRA Coronary, pulmonary arteries CTA Amir-Khalili et al [97] 2015 Carotid US Benmansour et al [98] 2011 Carotid CTA Biesdorf et al [99] 2015 Coronary CTA Lugauer et al [100] 2014 Coronary CTA Tang et al [101] 2012 Coronary MR Wang et al [102] 2012 Coronary CTA Friman et al [103] 2010 Coronary & CTA Liver Li et al [104] 2009 Coronary CTA Wink et al [105] 2002 Coronary MRA Zeng et al [106] 2017 Liver CTA Bauer et al [107] 2010 Liver CT Amir-Khalili et al [108] 2015 Kidney Endoscopy images Amir-Khalili et al …”

Section: Introductionmentioning

confidence: 99%

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Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Moccia

Momi

Hadji

et al. 2018

Computer Methods and Programs in Biomedicine

451

263

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Abstract-Background: Blood vessel segmentation is a topic of high interest in medical image analysis since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and evaluation of clinical outcomes in different fields, including laryngology, neurosurgery and ophthalmology. Automatic or semiautomatic vessel segmentation can support clinicians in performing these tasks. Different medical imaging techniques are currently used in clinical practice and an appropriate choice of the segmentation algorithm is mandatory to deal with the adopted imaging technique characteristics (e.g. resolution, noise and vessel contrast).Objective: This paper aims at reviewing the most recent and innovative blood vessel segmentation algorithms. Among the algorithms and approaches considered, we deeply investigated the most novel blood vessel segmentation including machine learning, deformable model, and tracking-based approaches.Method: This paper analyzes more than 100 articles focused on blood vessel segmentation methods. For each analyzed approach, summary tables are presented reporting imaging technique used, anatomical region and performance measures employed. Benefits and disadvantages of each method are highlighted.Discussion: Despite the constant progress and efforts addressed in the field, several issues still need to be overcome. A relevant limitation consists in the segmentation of pathological vessels. Unfortunately, not consistent research effort has been addressed to this issue yet. Research is needed since some of the main assumptions made for healthy vessels (such as linearity and circular cross-section) do not hold in pathological tissues, which on the other hand require new vessel model formulations. Moreover, image intensity drops, noise and low contrast still represent an important obstacle for the achievement of a high-quality enhancement. This is particularly true for optical imaging, where the image quality is usually lower in terms of noise and contrast with respect to magnetic resonance and computer tomography angiography. Conclusion:No single segmentation approach is suitable for all the different anatomical region or imaging modalities, thus the primary goal of this review was to provide an up to date source of information about the state of the art of the vessel segmentation algorithms so that the most suitable methods can be chosen according to the specific task.

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Section: A Model-basedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Moccia

Momi

Hadji

et al. 2018

Computer Methods and Programs in Biomedicine

451

263

View full text Add to dashboard Cite

show abstract

“…All camera-based techniques are severely limited by the necessity of a direct line of sight. A novel method designed by Nosrati et al [ 55 ] estimated organ movement by combining preoperative data, intraoperative colour, and visual cues with a vascular pulsation detection (also described by Amir-Khalili et al [ 56 ]), resulting in a robust system not affected by common obstructions (light reflection, light smoke). This method increased the accuracy by 45% compared to traditional techniques.…”

Section: Resultsmentioning

confidence: 99%

Recent Development of Augmented Reality in Surgery: A Review

Vávra

Roman

Zonča

et al. 2017

Journal of Healthcare Engineering

294

208

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Introduction The development augmented reality devices allow physicians to incorporate data visualization into diagnostic and treatment procedures to improve work efficiency, safety, and cost and to enhance surgical training. However, the awareness of possibilities of augmented reality is generally low. This review evaluates whether augmented reality can presently improve the results of surgical procedures. Methods We performed a review of available literature dating from 2010 to November 2016 by searching PubMed and Scopus using the terms “augmented reality” and “surgery.” Results. The initial search yielded 808 studies. After removing duplicates and including only journal articles, a total of 417 studies were identified. By reading of abstracts, 91 relevant studies were chosen to be included. 11 references were gathered by cross-referencing. A total of 102 studies were included in this review. Conclusions The present literature suggest an increasing interest of surgeons regarding employing augmented reality into surgery leading to improved safety and efficacy of surgical procedures. Many studies showed that the performance of newly devised augmented reality systems is comparable to traditional techniques. However, several problems need to be addressed before augmented reality is implemented into the routine practice.

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“…Tobis et al [36] use intravascular indigo cyanine green (ICG) which fluoresces under near-infrared light to detect hidden vessels. In a third approach, the laparoscopic image is analysed in real-time for tissue which subtly pulsates at approximate heart rate frequency to detect hidden arteries [37].…”

Section: Methodsmentioning

confidence: 99%

How well do software assistants for minimally invasive partial nephrectomy meet surgeon information needs? A cognitive task analysis and literature review study

et al. 2019

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Introduction Intraoperative software assistance is gaining increasing importance in laparoscopic and robot-assisted surgery. Within the user-centred development process of such systems, the first question to be asked is: What information does the surgeon need and when does he or she need it ? In this article, we present an approach to investigate these surgeon information needs for minimally invasive partial nephrectomy and compare these needs to the relevant surgical computer assistance literature. Materials and methods First, we conducted a literature-based hierarchical task analysis of the surgical procedure. This task analysis was taken as a basis for a qualitative in-depth interview study with nine experienced surgical urologists. The study employed a cognitive task analysis method to elicit surgeons' information needs during minimally invasive partial nephrectomy. Finally, a systematic literature search was conducted to review proposed software assistance solutions for minimally invasive partial nephrectomy. The review focused on what information the solutions present to the surgeon and what phase of the surgery they aim to support. Results The task analysis yielded a workflow description for minimally invasive partial nephrectomy. During the subsequent interview study, we identified three challenging phases of the procedure, which may particularly benefit from software assistance. These phases are I. Hilar and vascular management, II. Tumour excision, and III. Repair of the renal defects. Between these phases, 25 individual challenges were found which define the surgeon information needs. The literature review identified 34 relevant publications, all of which aim to support the surgeon in hilar and vascular management (phase I) or tumour excision (phase II). Conclusion The work presented in this article identified unmet surgeon information needs in minimally invasive partial nephrectomy. Namely, our results suggest that future solutions should address the repair of renal defects (phase III) or put more focus on the renal collecting system as a critical anatomical structure.

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Automatic segmentation of occluded vasculature via pulsatile motion analysis in endoscopic robot-assisted partial nephrectomy video

Cited by 23 publications

References 18 publications

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Recent Development of Augmented Reality in Surgery: A Review

How well do software assistants for minimally invasive partial nephrectomy meet surgeon information needs? A cognitive task analysis and literature review study

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