Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images

Yavariabdi, Amir; Bartoli, Adrien; Samir, Chafik; Artigues, Maxime; Canis, Michel

doi:10.1016/j.compmedimag.2015.07.007

Cited by 14 publications

(13 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, before implementing this technique in daily practice, improvement in the software and more precise clinical conditions need to be met. Recently, Yavariabdi et al 20 reported on the mapping and characterizing endometrial implants by registering 2D TVUS to 3D pelvic MRI, using advanced computerized modelling approaches. Although very promising, at present MUFI cannot be readily implemented into daily practice as a routine evaluation of DIE.…”

Section: Discussionmentioning

confidence: 99%

MRI-Ultrasound Fusion Imaging for Diagnosis of Deep Infiltrating Endometriosis – A Critical Appraisal

Berger

Henneman

Rhemrev

et al. 2018

Ultrasound Int Open

View full text Add to dashboard Cite

PurposeIt was the aim of our study to evaluate this procedure using pelvic anatomical landmarks in order to assess the accuracy of fusion imaging and to critically evaluate the applicability in daily practice.MethodsIn a prospective, single center study, 10 patients with clinical signs of deep infiltrating endometriosis (DIE) were selected. We measured the distance between the landmark organ and the target shown by the software system (measurement 1). Measurement 2 depicts the distance between the landmark and the nearest calibration point. The calibration inaccuracy was measured as a third type of measurement (measurement 3).ResultsMeasurement 1: the average distance between the organ landmark to the target was 13.6 mm (range: 0–96 mm). Measurement 2: in 31 of the 40 attempts (77.5 %), we could measure the distance from the landmark organ to the nearest calibration point. The average distance was 34.4 mm (range: 0–69 mm).Measurement 3: A perfect match was seen in 6 of 20 attempts (30.0 %). There was a deviation in 14 of the 20 attempts (70.0 %). The mean distance was 11.1 mm (range: 6–23 mm). Conclusion Although very promising, MRI-ultrasound fusion imaging (MUFI) currently cannot be readily implemented into daily practice as a routine evaluation of DIE.

show abstract

Section: Discussionmentioning

confidence: 99%

MRI-Ultrasound Fusion Imaging for Diagnosis of Deep Infiltrating Endometriosis – A Critical Appraisal

Berger

Henneman

Rhemrev

et al. 2018

Ultrasound Int Open

View full text Add to dashboard Cite

show abstract

“…Another method that uses ICP was proposed by Yavariabdi et al (2015) for deformable registration. They register 2D transvaginal US (TVUS) images with 3D MRI volumes to localize endometrial implants.…”

Section: Geometricmentioning

confidence: 99%

“…Several methods of this type have been proposed. We can cite (Fei et al, 2003a;Osechinskiy and Kruggel, 2011b;Yavariabdi et al, 2015) among others. Different strategies can be adopted to register multiple slices to a given volume.…”

Section: Number Of Slicesmentioning

confidence: 99%

“…According to the authors, only smaller, more localized regions of interest which approximate point landmarks, can provide such an evidence, since their overlap approximates point-based registration error. Combining area overlapping and contour distance based coefficients (which provide complementary information about the registration quality) has been suggested as a way to alleviate such inconsistencies ; Yavariabdi et al (2015).…”

Section: Segmentation-based Metricsmentioning

confidence: 99%

See 1 more Smart Citation

Slice-to-volume medical image registration: A survey

Ferrante

Paragios

2017

Medical Image Analysis

143

View full text Add to dashboard Cite

During the last decades, the research community of medical imaging has witnessed continuous advances in image registration methods, which pushed the limits of the state-of-the-art and enabled the development of novel medical procedures. A particular type of image registration problem, known as slice-to-volume registration, played a fundamental role in areas like image guided surgeries and volumetric image reconstruction. However, to date, and despite the extensive literature available on this topic, no survey has been written to discuss this challenging problem. This paper introduces the first comprehensive survey of the literature about slice-to-volume registration, presenting a categorical study of the algorithms according to an ad-hoc taxonomy and analyzing advantages and disadvantages of every category. We draw some general conclusions from this analysis and present our perspectives on the future of the field.

show abstract

“…Yavariabdi et al [9] proposed studies 2D and 3D wavelet area medical image declaration improvement method. The proposed move toward is based on the exclamation of the low resolution input image and the resulting high frequency sub-band images obtain using Discrete Wavelet Transform (DWT).…”

Section: Related Workmentioning

confidence: 99%

Adaptive analysis & reconstruction of 3D DICOM images using enhancement based SBIR algorithm over MRI

Gr¹,

He²,

Edara³

et al. 2018

biomedicalresearch

View full text Add to dashboard Cite

The images can be visualized in three dimensional (3D) by means of different technique, these 3D techniques are used to improve the view of images. Converting two dimensional (2D) images into 3D images is a significant part of image application. A resourceful approach of 3D image reconstruction is implementing to execute a certain procedure that applied to X-ray medical image. The paper deals with the DICOM images reconstruction which is originally very helpful for manufacture of modified anatomical implant by using rapid prototyping technology. The researchers are gradually focusing on biomedical 3Dimaging improvement. The MAT LAB image processing has been powerfully developed and almost implements in every modern topographical modalities. The CT slices of involved region of modified implant in DICOM arrangement are initially pre-processed using developed MATLAB code. These files can be additional used for Rapid Prototyping. This project in biomechanical area has been urbanized to give the ability in very cheap cost with highest technological support moderately with expensive import facilities and software. This approach is implemented via four steps preprocessing, image enhancement, image contour then image reconstruction and visualization. Suggest a proposed researcher is based on novel analytical model which can put to gather in sequence from any source (i.e.) Slicer Based Image Retrieval (SBIR) mechanism to get back applicable medical imagery bottom on their features.

show abstract

Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images

Cited by 14 publications

References 40 publications

MRI-Ultrasound Fusion Imaging for Diagnosis of Deep Infiltrating Endometriosis – A Critical Appraisal

MRI-Ultrasound Fusion Imaging for Diagnosis of Deep Infiltrating Endometriosis – A Critical Appraisal

Slice-to-volume medical image registration: A survey

Adaptive analysis & reconstruction of 3D DICOM images using enhancement based SBIR algorithm over MRI

Contact Info

Product

Resources

About