ISSN# 1545-4428 | Published date: 19 April, 2024
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At-A-Glance Session Detail
   
Myocardial Parametric Mapping
Oral
Cardiovascular
Tuesday, 07 May 2024
Room 334-336
15:45 -  17:45
Moderators: Gastao Cruz & Jesse Hamilton
Session Number: O-22
CME Credit

15:450680.
Physically and Anatomically Constrained Self-Supervised Motion Correction for Free-Breathing Cardiac T1 Mapping
Eyal Hanania1, Ilya Volovik2, Israel Cohen1, and Moti Freiman1
1The Technion – Israel Institute of Technology, Haifa, Israel, 2Bnai Zion medical center, Haifa, Israel, Haifa, Israel

Keywords: Myocardium, Machine Learning/Artificial Intelligence, Motion Correction

Motivation: Cardiac T1 mapping is often limited by the need for breath-holding to prevent motion artifacts, which restricts its use in patients who cannot hold their breath.

Goal(s): To create a self-supervised deep learning method for motion-corrected, free-breathing cardiac T1 mapping without requiring large datasets or worrying about data variability.

Approach: We present a new self-supervised model that combines a signal relaxation model with anatomical constraints and employs the voxel-morph framework for motion correction. Our model's performance was assessed using a publicly available myocardial T1 mapping dataset.

Results: Our approach outperformed other state-of-the-art registration methods in terms of R2, DICE, and Hausdorff distance.

Impact: Our model offers the possibility of extending cardiac T1 mapping to patients who cannot perform breath-hold MRI procedures by ensuring robust motion correction for accurate T1 mapping, all without the necessity for large training datasets or worries about data anomalies.

15:570681.
Highly-efficient free-breathing 3D whole-heart joint T1/T2 mapping and water/fat imaging at 0.55T
Dongyue Si1, Michael G Crabb1, Karl P Kunze1,2, Simon Littlewood1, Claudia Prieto1,3, and René M Botnar1,3,4
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 3School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

Keywords: Myocardium, Low-Field MRI, Parametric mapping

Motivation: Myocardial T1 and T2 mapping has emerged as a useful clinical tool for the diagnosis of different heart disease. However, current mapping sequences were mostly developed with 2D breathhold acquisitions and validated at 1.5T or 3T. The investigation of myocardial mapping techniques on more affordable low-field MRI systems is scarce. 

Goal(s): To develop a highly-efficient free-breathing 3D whole-heart joint T1/T2 mapping sequence with isotropic-resolution at 0.55T.

Approach: The proposed sequence acquires 3 interleaved volumes for joint T1/T2 estimation and water/fat separation. 

Results: The proposed sequence shows good agreement with spin-echo reference in phantom and provides comparable results in-vivo with conventional 2D mapping sequences.

Impact: The proposed sequence enables comprehensive 3D joint T1/T2 mapping and water/fat anatomical evaluation of the whole-heart with 2mm isotropic-resolution at 0.55T during a fast free-breathing scan and thus shows promise for the detection of different cardiac diseases. 

16:090682.
Improved 3D multi-contrast CMR for high-quality anatomical imaging and joint T1/T2 mapping in a single free-breathing scan
Ivan Kokhanovskyi1,2,3, Michael G. Crabb3, Carl Ganter1, Carlos Castillo-Passi3,4,5, Karl P. Kunze3,6, Radhouene Neji3, Dimitrios Karampinos1, Marcus R. Makowski1,2, Claudia Prieto3,5,7, and Rene M. Botnar2,3,4,5,7
1Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2Institute for Advanced Study, Technical University of Munich, Munich, Germany, 3School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Millenium Institute for intelligent Healthcare Engineering, Santiago, Chile, 6MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 7School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

Keywords: Myocardium, Heart, Bright- and black blood imaging, T1/T2 mapping

Motivation: Cardiovascular MR (CMR) provides comprehensive assessment of heart disease. However, conventional CMR examinations involve multiple sequential 2D acquisitions under breath-hold conditions.

Goal(s): To devise and develop a novel 3D free-breathing sequence for simultaneous assessment of cardiovascular anatomy via bright- and black-blood imaging and myocardial tissue quantification in a single scan. 

Approach: Implementation of an improved iNAV-based 5-heartbeat interleaved sequence (proACTION) with distinct IR and T2 preparation modules and non-rigid motion correction for robust and accurate myocardial tissue quantification. 

Results: proACTION provides accurate delineation of cardiac and vascular structures, while demonstrating good agreement with conventional mapping sequences in healthy subjects.

Impact: Comprehensive 3D whole-heart tissue characterization and clinically relevant anatomical information can be obtained in an efficient, free-breathing, and easier to use one-click-scan with the proposed proACTION approach.

16:210683.
Free-breathing respiratory-navigator-gated 2D radial MR fingerprinting of the transplanted heart at 3T.
Pauline Calarnou1, Augustin C. Ogier1, Tamila Abdurashidova2, Jean-Baptiste Ledoux3,4, Jérôme Yerly3,4, Roger Hullin2, and Ruud B. Van Heeswijk3
1Radiology, Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, Lausanne, Switzerland, 2Cardiology Service, Cardiovascular Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, Lausanne, Switzerland, 3Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, Lausanne, Switzerland, 4CIBM Center for BioMedical Imaging, Lausanne and Geneva, Switzerland, Lausanne, Switzerland

Keywords: Myocardium, Transplantation

Motivation: To acquire T1, T2 and ECV maps in heart transplant recipients using a free-breathing technique that minimizes through-plane motion.

Goal(s): To characterize a free-breathing 2D joint T1/T2 cardiac MR fingerprinting technique named PARMA that includes a lung-liver navigator in the patient setting.

Approach: We compared the resulting maps to gold standard maps in a phantom and to clinical routine maps in 10 healthy volunteers and 9 heart transplant recipients.

Results: We found high accuracy in the phantom and high precision in the volunteers and heart transplant recipients.

Impact: This work demonstrates the feasibility of a free-breathing 2D joint T1/T2 MR fingerprinting in a heart transplant recipient population that cannot always perform long breath holds. The navigator allows a free breathing acquisition with limited through-plane motion.

16:330684.
Pattern Search Pulse Sequence Optimization for Cardiac MR Fingerprinting
Zhongnan Liu1, Jacob Richardson2, Nicole Seiberlich2,3, and Jesse Hamilton2,3
1Department of Electrical Engineering and Computer Science, Univerisity of Michigan, Ann Arbor, MI, United States, 2Department of Radiology, Univeristy of Michigan, Ann Arbor, MI, United States, 3Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

Keywords: Myocardium, MR Fingerprinting, T1 mapping, T2 mapping, cardiovascular

Motivation: Current cardiac MRF sequences have been designed empirically, and thus do not exploit the full flexibility in sequence design of the MRF framework.

Goal(s): The goal of this project is to develop a sequence optimization method for cardiac MRF, which can be applied to shorten the breathhold and diastolic window.

Approach: An optimization method was implemented that simulates MRI signal generation, spiral undersampling, and pattern recognition during each iteration, using a pattern search algorithm to update multiple parameters.

Results: In simulations, phantoms, and healthy subjects, the shortened optimized scan yielded similar myocardial T1 and T2 values as a previously described cardiac MRF technique. 

Impact: This study proposes a sequence optimization method for cardiac MRF with many potential applications, including designing shortened scans to reduce breathhold requirements and limit motion artifacts.

16:450685.
3D free-breathing simultaneous myocardial T1 and T1ρ mapping with B1+ correction and subject-specific non-rigid motion correction
Haikun Qi1,2, Zhenfeng Lyu1, Jiameng Diao1, Jiayu Zhu3, Jian Xu4, René Botnar5,6, Claudia Prieto5,6, and Peng Hu1,2
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Shanghai Clinical Research and Trial Center, Shanghai, China, 3United Imaging Healthcare, Shanghai, China, 4UIH America, Inc., Houston, TX, United States, 5King's College London, London, United Kingdom, 6School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

Keywords: Myocardium, Cardiovascular

Motivation: Multi-parametric mapping is useful for comprehensive myocardial tissue characterization. However, 3D free-breathing cardiac multi-parametric mapping faces challenges.

Goal(s): Develop a 3D free-breathing cardiac multi-parametric mapping framework that is robust to confounders of motion, fat and field inhomogeneities and validate it for joint T1 and T1ρ mapping at 3T.

Approach: A subject-specific respiratory motion model was constructed to enable intra-bin 3D translational and inter-bin non-rigid motion correction. B1+ inhomogeneities were corrected with optimized dual-flip-angle strategy. A dual-echo Dixon readout was adopted for water-only mapping.

Results: The proposed technique achieved good agreement with conventional techniques in measuring T1 and T1ρ in phantoms and healthy subjects.

Impact: A novel framework was proposed for efficient 3D free-breathing multi-parametric mapping. The 3D simultaneous cardiac T1 and T1ρ mapping technique with scan time of ~ 5 minutes may serve as an efficient tool for diagnosing ischemic and non-ischemic cardiomyopathies.

16:570686.
Accelerated T1ρ,adiab Mapping using Slice Selective Spin-Lock Preparation Pulses (FAST1ρ)
Andrew Tyler1, Karl Kunze2, Radhouene Neji1, Pier Giorgio Masci1, Amadeo Chiribiri1, and Sébastien Roujol1
1Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberly, United Kingdom

Keywords: Myocardium, Relaxometry

Motivation: T1ρ mapping is a promising non-contrast technique for the assessment of myocardial scar. Myocardial T1ρ mapping techniques commonly acquire multiple images  in one breath hold to calculate a single-slice T1ρ map. Recently, non-selective adiabatic pulses have been employed for spin-lock preparation (T1ρ,adiab). FAST1ρ provides a two-fold acceleration for multi-slice myocardial T1ρ,adiab mapping.

Goal(s): To assess the T1ρ,adiab map quality of FAST1ρ compared to a single-slice 2D T1ρ,adiab mapping sequence.

Approach: 10 healthy-volunteers were scanned with FAST1ρ and a single-slice sequence.

Results: FAST1ρ had no significant difference in intra-subject variability or subject-wise precision, to the single-slice sequence, and successfully visualized a myocardial scar.

Impact: FAST1ρ provides a two-fold acceleration for multi-slice myocardial T1ρ,adiab mapping. It has no significant difference in intra-subject variability or subject-wise precision, compared to a single-slice sequence, and shows promise for characterization a myocardial scar.

17:090687.
Free-breathing T1ρ dispersion imaging for myocardial fibrosis without exogenous contrast agents
Qinfang Miao1,2, Zhenfeng Lv1,2, Sha Hua3, Peng Hu1,2, and Haikun Qi1,2
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Shanghai Clinical Research and Trial Center, Shanghai, China, 3Department of Cardiovascular Medicine, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Keywords: Myocardium, Cardiomyopathy

Motivation: LGE and ECV are standard cardiac MR (CMR) techniques for detecting focal and diffuse myocardial fibrosis, requiring gadolinium contrast agents. For patients with gadolinium contraindications, non-contrast CMR techniques are needed to detect myocardial fibrosis. 

Goal(s): To evaluate the performance of endogenous T1ρ dispersion imaging for myocardial fibrosis.

Approach: A recently proposed free-breathing T1ρ dispersion imaging technique was employed to image patients with non-ischemic cardiomyopathies. The endogenous parameters, T1ρ, myocardial fibrosis index (mFI), and native T1 were evaluated against LGE and ECV.

Results: T1ρ and mFI were elevated in the LGE region and mFI showed the best correlation with ECV among the tested parameters.

Impact: T1ρ dispersion imaging is a promising CMR technique for detecting myocardial fibrosis without exogenous contrast agents.

17:210688.
Non-invasive quantification of myocardial volume oxygen consumption using free-breathing, ungated, self-calibrated MR blood oximetry
Chia-Chi Yang1, Archana Malagi1, Yuheng Huang2,3, Ghazal Yoosefian2, Xinheng Zhang2,3, Xinming Guan2, Anthony Christodoulou1,4, Debiao Li1, Hui Han5, Rohan Dharmakumar2, and Hsin-Jung Yang1
1Biomedical Imaging Research Institude, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2krannert cardiovascular research center, Indiana University School of Medicine, Indianapolis, IN, United States, 3Bioengineering, UCLA, Los Angeles, CA, United States, 4Department of Radiological Sciences, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States, 5Radiology, Weill Cornell Medicine, New York, NY, United States

Keywords: Heart Failure, Heart, myocardial volume oxygenation consumption

Motivation: Whole-heart myocardial oxygen consumption (MVO2) is the central factor that determines cardiac function and is a sign of heart diseases.

Goal(s): We proposed a high-resolution, free breathing, cardiac-phase resolved sequence to quantify MVO2 in the beating hearts.

Approach: Healthy pigs were scanned at 3T. Coronary sinus images were acquired with a continuous, free-breathing, Radial T2Prep-IR sequence with flow compensation and water excitation and a 2D phase contrast sequence to quantify the MVO2. Invasive ground truth was also measured to verify the accuracy of our estimation.

Results: The proposed method measured comparable SbO2,OEF,MBF and MVO2 values to the invasive ground truth.

Impact: The proposed free-breathing, motion-resolved cardiac MR Oximetry technique has the potential to non-invasively measure accurate myocardial oxygen consumption without using ionizing radiation and exogenous contrast agents.

17:330689.
Adiabatic spin-lock preparations for myocardial T2ρ mapping at 3T.
Chiara Coletti1, Joao Tourais1, Christal van de Steeg-Henzen2, and Sebastian Weingärtner1
1TU Delft, Delft, Netherlands, 2HollandPTC, Delft, Netherlands

Keywords: Myocardium, RF Pulse Design & Fields, T2ρ, adiabatic RF, rotating-frame relaxometry

Motivation: T may provide complementary information between T and T2, but high sensitivity to field inhomogeneities has prevented its application in cardiac MRI.

Goal(s): We evaluated adiabatic T preparations for human myocardium mapping at 3T.

Approach: To obtain T preparations, adiabatic half-passage pulses were added before and after pairs of hyperbolic secant pulses. T mapping was tested and compared  with adiabatic T and T2  maps in phantoms and 5 healthy subjects.

Results: T maps yielded similar values to T2, with improved repeatability and resilience to B0 and B1+ field inhomogeneities in phantom, and better precision and reproducibility in vivo, complementing T.

Impact: Adiabatic T preparations enable robust in vivo myocardial T mapping at 3T, potentially enabling the use of an alternative rotating-frame relaxation contrast mechanism for cardiac tissue characterization at high field strengths.