CAROLAB
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

• ↳ CAROLAB software v5.0 (Linux 64 bits)
• ↳ CAROLAB software v5.0 (Windows 64 bits)
• ↳ CAROLAB software v5.0 (Mac 64 bits)
• ↳ Sample file (DICOM)
• ↳ User manual (PDF)
• ↳ CAROLAB Poster IEEE US 2019 (JPG)

• • Dr. Guillaume Zahnd
• • Prof. Didier Vray (didier.vray[at]creatis.insa-lyon.fr)
• • Prof. Maciej Orkisz (maciej.orkisz[at]creatis.insa-lyon.fr)

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 [1].

• [1] 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 [2] if CAROLAB was used for contour segmentation.

• [2] 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 [3] if CAROLAB was used for single-point motion tracking.

• [3] 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

Please also cite [4] if CAROLAB was used for dense-field motion tracking.

• [4] 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

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

• • M. Petrova, A. Gavino, Y. Li, C.S. McLachlan. Comparison of parameters for assessment of carotid stiffness and their association with carotid atherosclerosis in rural Australian adults: a pilot study. Journal of Clinical Medicine, 12(8):2935, 2023, https://doi.org/10.3390/jcm12082935.
• • 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, 108:103886, 2022, https://doi.org/10.1016/j.medengphy.2022.103886.
• • 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)

• - Website creation
• - Segmentation method based on doi:10.1007/s11548-013-0945-0
• - Tracking method based on doi:10.1016/j.media.2013.03.006