Simple and accurate analysis of ultrasound carotid-artery cine-loops
- • Visualize B-mode ultrasound DICOM image sequences (movie clips) of the carotid artery
- • Automatically measure the diameter variation during time
- • Automatically measure the IMT compression-decompression during time
- • Automatically track the wall motion during the cardiac cycle
- • Perform manual measurements if required
- • And more
- • Dr. Guillaume Zahnd
- • Prof. Didier Vray (didier.vray[at]creatis.insa-lyon.fr)
- • Prof. Maciej Orkisz (maciej.orkisz[at]creatis.insa-lyon.fr)
How to cite CAROLAB
Thank you for using CAROLAB! This software is protected by an APP deposit (IDDN.FR.001.080024.000.S.P.2016.000.10000). If you use CAROLAB anywhere we would appreciate if you cite the following references:
Please always cite .
Please also cite  if CAROLAB was used for contour segmentation.
-  G. Zahnd, M. Orkisz, E. E. Dávila Serrano, and D. Vray, CAROLAB – A platform to analyze carotid ultrasound data, IEEE Ultrasonics Symposium, Glasgow (Scotland), 2019
Please also cite  if CAROLAB was used for single-point motion tracking.
-  G. Zahnd, K. Kapellas, M. van Hattem, A. van Dijk, A. Sérusclat, P. Moulin, A. van der Lugt, M. R. Skilton, and M. Orkisz, A fully-automatic method to segment the carotid artery layers in ultrasound imaging – Application to quantify the compression-decompression pattern of the intima-media complex during the cardiac cycle, Ultrasound in Medicine & Biology, 43(1):239–257, 2016
Please also cite  if CAROLAB was used for dense-field motion tracking.
-  G. Zahnd, M. Orkisz, A. Sérusclat, P. Moulin, and D. Vray, Evaluation of a Kalman-based block matching method to assess the bi-dimensional motion of the carotid artery wall in B-mode ultrasound sequences, Medical Image Analysis, 17(5):573–585, 2013
We would also appreciate if you could send us the references of your publications where CAROLAB is cited, so as to let us add them to the list below
-  G. Zahnd, K. Saito, K. Nagatsuka, Y. Otake, and Y. Sato, Dynamic block matching to assess the longitudinal component of the dense motion field of the carotid artery wall in B-mode ultrasound sequences – Association with coronary artery disease, Medical Physics, 45(11):5041–5053, 2018
They used CAROLAB in their research work
- • J. Shin, E-Y. Choi, H. M. Kwon, K. Rhee. Estimation of viscoelasticity of a carotid artery from ultrasound cine images and brachial pressure waveforms: Viscous parameters as a new index of detecting low plaque burden. Medical Engineering & Physics, in press, 2022.
- • M. Makūnaitė, R. Jurkonis, A. Lukoševičius, M. Baranauskas. Simulation of Ultrasound RF Signals Backscattered from a 3D Model of Pulsating Artery Surrounded by Tissue. Diagnostics, 12(2):232, 2022.
- • S. Suri, D. Bulte, S. T. Chiesa, et al. Study protocol: The heart and brain study. Frontiers in Physiology, 12:364, 2021.
- • A. Díaz, and D. Bia. Association between central-peripheral blood pressure amplification and structural and functional cardiac properties in children, adolescents, and adults: Impact of the amplification parameter, recording system and calibration scheme. High Blood Pressure & Cardiovascular Prevention 28(2):185–249, 2021.
- • K. V. Raj, J. Joseph, P. M. Nabeel, and M. Sivaprakasam. Automated measurement of compression-decompression in arterial diameter and wall thickness by image-free ultrasound. Computer Methods and Programs in Biomedicine, 194:105557, 2020.
- • M. Makūnaitė, R. Jurkonis, A. Rodríguez-Martínez, R. Jurgaitienė, V. Semaška, K. Mėlinytė, and R. Kubilius. Ultrasonic parametrization of arterial wall movements in low- and high-risk CVD subjects. Applied Sciences, 9(3):465, 2019.
- • S. Scaramuzzino, C. Carallo, G. Pileggi, A. Gnasso, and M. F. Spadea. Longitudinal motion assessment of the carotid artery using speckle tracking and scale-invariant feature transform. Annals of Biomedical Engineering, 45(8):1865–1876, 2017.
- • M. Rakobowchuk, O. Ritter, E. N. Wilhelm, L. Isacco, M. Bouhaddi, B. Degano, N. Tordi, and L. Mourot. Divergent endothelial function but similar platelet microvesicle responses following eccentric and concentric cycling at a similar aerobic power output. Journal of Applied Physiology, 122(4):1031–1039, 2017.
CAROLAB v5.0 (September 27th, 2019)
- - Major update: feature to perform manual annotations (motion tracking and countour tracing)
CAROLAB v4.0 (April 18th, 2019)
- - Major update: dense-field motion tracking, based on https://doi.org/10.1002/mp.13186
- - Major update: feature to store and process batches, to deal with large number of clips
- - Minor update: automatic print of the obtained results for easier visual retrieval
CAROLAB v3.0 (March 22nd, 2017)
- - Major update: the segmentation method is now based on doi:10.1016/j.ultrasmedbio.2016.08.016
- - Minor update: possibility to indicate a set of frames corresponding to specific ECG key-points
- - Minor update: the amplitude of all measured motion parameters is now automatically calculated
CAROLAB v2.2 (April 1st, 2016)