Three-dimensional reconstruction of intracoronary ultrasound images. Rationale, approaches, problems, and directions

Although intracoronary ultrasonography allows detailed tomographic imaging of the arterial wall, it fails to provide data on the structural architecture and longitudinal extent of arterial disease. This information is essential for decision making during therapeutic interventions. Three-dimensional reconstruction techniques offer visualization of the complex longitudinal architecture of atherosclerotic plaques in composite display. Progress in computer hardware and software technology have shortened the reconstruction process and reduced operator interaction considerably, generating three-dimensional images with delineation of mural anatomy and pathology. The indications for intravascular ultrasonography will grow as the technique offers the uni

A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images.

Coronary luminal dimensions change during the cardiac cycle. However, contemporary volumetric intravascular ultrasound (IVUS) analysis is performed in non-gated images as existing methods to acquire gated or to retrospectively gate IVUS images have failed to dominate in research. We developed a novel deep learning (DL)-methodology for end-diastolic frame detection in IVUS and compared its efficacy against expert analysts and a previously established methodology using electrocardiographic (ECG)-estimations as reference standard. Near-infrared spectroscopy-IVUS (NIRS-IVUS) data were prospectively acquired from 20 coronary arteries and co-registered with the concurrent ECG-signal to identify end-diastolic frames. A DL-methodology which takes advantage of changes in intensity of corresponding pixels in consecutive NIRS-IVUS frames and consists of a network model designed in a bidirectional gated-recurrent-unit (Bi-GRU) structure was trained to detect end-diastolic frames. The efficacy of the DL-methodology in identifying end-diastolic frames was compared with two expert analysts and a conventional image-based (CIB)-methodology that relies on detecting vessel movement to estimate phases of the cardiac cycle. A window of ± 100 ms from the ECG estimations was used to define accurate end-diastolic frames detection. The ECG-signal identified 3,167 end-diastolic frames. The mean difference between DL and ECG estimations was 3 ± 112 ms while the mean differences between the 1st-analyst and ECG, 2nd-analyst and ECG and CIB-methodology and ECG were 86 ± 192 ms, 78 ± 183 ms and 59 ± 207 ms, respectively. The DL-methodology was able to accurately detect 80.4%, while the two analysts and the CIB-methodology detected 39.0%, 43.4% and 42.8% of end-diastolic frames, respectively (P < 0.05). The DL-methodology can identify NIRS-IVUS end-diastolic frames accurately and should be preferred over expert analysts and CIB-methodologies, which have limited efficacy

Shape-driven segmentation of the arterial wall in intravascular ultrasound images

Segmentation of arterial wall boundaries from intravascular images is an important problem for many applications in the study of plaque characteristics, mechanical properties of the arterial wall, its 3D reconstruction, and its measurements such as lumen size, lumen radius, and wall radius. We present a shape-driven approach to segmentation of the arterial wall from intravascular ultrasound images in the rectangular domain. In a properly built shape space using training data, we constrain the lumen and media-adventitia contours to a smooth, closed geometry, which increases the segmentation quality without any tradeoff with a regularizer term. In addition to a shape prior, we utilize an intensity prior through a non-parametric probability density based image energy, with global image measurements rather than pointwise measurements used in previous methods. Furthermore, a detection step is included to address the challenges introduced to the segmentation process by side branches and calcifications. All these features greatly enhance our segmentation method. The tests of our algorithm on a large dataset demonstrate the effectiveness of our approach

Intravascular Ultrasound

Intravascular ultrasound (IVUS) is a cardiovascular imaging technology using a specially designed catheter with a miniaturized ultrasound probe for the assessment of vascular anatomy with detailed visualization of arterial layers. Over the past two decades, this technology has developed into an indispensable tool for research and clinical practice in cardiovascular medicine, offering the opportunity to gather diagnostic information about the process of atherosclerosis in vivo, and to directly observe the effects of various interventions on the plaque and arterial wall. This book aims to give a comprehensive overview of this rapidly evolving technique from basic principles and instrumentation to research and clinical applications with future perspectives

Validation and application of intravascular ultrasound in the study of percutaneous coronary intervention

Intravascular ultrasound (IVUS) is a relatively new method of imaging coronary arteries which has several advantages over contrast angiography in the accurate quantification of coronary lumen and vessel dimensions and assessment of atherosclerotic plaque. Experimentally, IVUS has so far provided detailed insights into the distribution and composition of atheroma in the coronary circulation and its behaviour when subjected, particularly, to balloon dilatation. The technique is now regarded as a useful adjunct to angiography in the routine assessment of patients with atherosclerotic coronary disease as well as in the guidance of percutaneous coronary interventional techniques such as balloon angioplasty and intracoronary stent implantation. Additionally, the concept of three-dimensional reconstruction of IVUS images has recently been realized providing the opportunity for longitudinal as well as tomographic analysisDespite the wealth of information so far provided by IVUS most in vitro studies require cautious interpretation due to well-recognised limitations of studying animal models of atherosclerosis or human coronary disease in circumstances that do not accurately reflect the clinical setting. This thesis is based upon the development of a pulsatile flow system which is capable of accurately reproducing some of the important physiological properties of in-vivo flow in normal and diseased coronary arteries. Some characteristics of in-vivo coronary blood flow cannot be met, such as the effect of blood viscosity and extrinsic compression of the vessel by the beating heart. However, the system is designed to enable the study of human coronary atherosclerotic disease by IVUS in conditions which closely resemble those seen in the clinical setting. The initial chapters provide an overview of IVUS, including methods and rationale for three-dimensional reconstruction, and describe the development and validation of the flow system. Chapters 3 and 4 assess the qualitative accuracy of IVUS in the assessment of the composition of atherosclerotic plaque and also the reproducibility of IVUS assessments of vessel and lumen dimensions in diseased coronary arteries. There follows a study of coronary balloon angioplasty designed to assess the influence of procedural factors, such as balloon calibre and inflation pressure selection, and IVUS guidance on the initial success of the procedure. In the remaining chapters two studies examine three-dimensional reconstruction of IVUS images and the influence of technical factors, which are inherent in IVUS imaging, on the accuracy of atherosclerotic plaque volume measurement and its use in assessing vascular injury following coronary balloon angioplasty. It should be emphasized that all patient donors died from causes other than cardiovascular disease such that the histopathological studies involved the use of coronary artery specimens which were not required for diagnostic purposes. The studies adhered to strict ethical standards of the day. Harvesting of specimens received ethical approval as part of the overall IVUS research programme being undertaken at the time. All specimens were retained by the Department of Pathology during the study period and disposed of appropriately following the final analysesTaken together these studies have helped to provide further insights into the quantitative and qualitative accuracy of IVUS in the assessment of coronary atherosclerosis and the technical factors which may confound these analyses. Furthermore, the value of IVUS in guiding, and assessing the outcome of, coronary balloon angioplasty is clearly demonstrated. Given the close correlation of the studies to the clinical setting the findings should be expected to influence our approach to clinical IVUS studies and utilize the technique more frequently in the guidance of percutaneous coronary intervention