Preprints
Preprints
Embedded Files
Measurements Automatically Extracted from Zero Echo Time MRI Using Deep Learning Image Segmentation and Geometric Modeling Agree with Expert Manual Readings
In this work, we developed an automated approach to compute morphological metrics used for femoroacetabular impingement diagnosis and treatment planning from zero echo time (ZTE) magnetic resonance images (MRI). A combination of deep learning ZTE MRI segmentation and geometric modeling was employed to compute alpha, femoral neck-shaft, Tönnis, coronal and sagittal center-edge, and acetabular version angles. Automated measurements were compared against manual measurements computed by two board-certified expert radiologists. Model versus rater-mean agreement was non-inferior or better than interrater agreement for all angles. [PDF]
Publications
Publications
Automated Deep Learning Segmentation of the Extensor Carpi Radialis Brevis Tendon Can Differentiate Between Severity Grades
This study trained and optimized a deep-learning algorithm to automatically segment the extensor carpi radialis brevis (ECRB) tendon, the tendon commonly associated with “ten-nis elbow,” from elbow magnetic resonance images (MRI). The algorithm was tested on a separate, clinical validation dataset to determine signal intensity values in the automati-cally-segmented ECRB tendon. Normalized signal corresponded with clinical severity grades of tendinosis, demonstrating the potential for an automated quantitative approach to a qualitative clinical assessment of tendinosis. [Coming Soon]
Deep learning-enhanced zero echo time MRI for femoral cortical bone quantification: A technical validation against CT
This study compared quantitative measurements of femoral cortical bone between zero echo time magnetic resonance images (oZTEo) and computed tomographic (CT) images as proof-of-concept for algorithm performance in subjects referred to our clinic for femoroacetabular impingement (FAI). Participants underwent MRI and CT imaging where standard oZTEo imaging was performed with deep learning (DL) reconstruction to apply denoising and chemical shift correction (oZTEo-CSC) with and without automated background removal (oZTEo-CSC-BR). The intra-articular femoral cortex edge and the cortical edge sharpness did not vary across image datasets for either Examiner. The oZTEo-CSC and oZTEo-CSC-BR images provide a greater CT-like assessment of femoral cortical bone than oZTEo images alone and may be considered as a radiation-free alternative for bone imaging. [PDF]
Radiograph-Based Radiomics Successfully Classify MRI-based Identification of Femoral Loosening in Patients with Total Hip Arthroplasty – A Preliminary Study
Aseptic loosening is a leading cause of total hip arthroplasty (THA) revision. 3D multi-spectral magnetic resonance imaging (MSI-MRI) offers high sensitivity for detecting femoral stem loosening, but is less commonly acquired at routine follow-up. Given standard radiography is acquired at routine follow-up, this study sought to evaluate if radiograph-based radiomics can detect loosening confirmed by MSI-MRI, improving routine evaluation of implant integration. We examined how image texture features can be used to identify loose from non-loose implants. Ultimately, with an AUC of 0.76, we believe further modeling improvements could establish this method as a scalable, low-cost adjunct to standard post-operative evaluation. [PDF]
Multi-Spectral MRI-Based Radiomic Features Can Classify Femoral Loosening in Patients with Total Hip Arthroplasty
Total hip arthroplasty (THA) is the most successful treatment for end-stage joint degeneration; however, implant loosening remains a common reason for revision and its detection on radiography can be challenging. Three-dimensional multi-spectral magnetic resonance imaging (3D-MSI-MRI) enables imaging near metal implants and combining this with radiomics may enhance detection of loosening. By creating cross-validated logistic regression models, we succesfully showed that MSI-MRI based radiomics can classify implant loosening (AUC > 0.79). [PDF]
Exploratory Analysis of Infrapatellar Fat Pad MRI-Based Radiomics for Detection of Knee Structure Abnormalities in Collegiate Basketball and Swimming Athletes
Magnetic resonance image (MRI)-based radiomic analyses of the infrapatellar fat pad (IPFP) have shown greater discrimination for patients with IPFP abnormalities and knee osteoarthritis than clinical scoring alone. As IPFP abnormalities can arise from sport-related injuries, this study aimed to quantify and evaluate differences of IPFP image texture between basketball and swimming athletes and associate these texture features with clinical assessments of joint health. While direct connection between IPFP radiomics and injury risk could not be made, IPFP MRI-based texture differed between basketball and swimming athletes. [PDF]
Investigation of Direction- and Age-Dependent Prestretch in Mouse Cranial Dura Mater
Cranial dura mater plays a key role in healthy neurocranial remodeling in response to the growing brain. To better characterize the dura's in vivo mechanics, we developed a finite element model to determine the in vivo prestretch, an otherwise unknown quality that affects the dura's ability to properly respond to strains from the growing brain. Through comparison of the ex vivo dura and in silico model's incision opening dimensions, we observed that mouse cranial dura mater prestretch is greater in the anterior-posterior direction, and differs in magnitude across developmental ages. [PDF] [Code]
Bok's Equi-volume Principle: Translation, Historical Context, and a Modern Persepective
In efforts to better understand the convoluted geometric patterns that arise from cortex development, we translated and re-processed experimental data from a fundamental, yet previously not revisited, study. It was observed that the six cortical lamina retain their relative volume throughout curvature, known as the "equi-volume principle". This principle has been used by researchers to extract volume and thickness information from fMRI data, as well as, geometric information from our own Abaqus brain growth simulations. [PDF] [Code]
Computational Models of Cortical Folding: A Review of Common Approaches
The process of gyrification, by which the brain develops the intricate pattern of gyral hills and sulcal valleys, is the result of interactions between biological and mechanical processes during brain development. Researchers have developed a vast array of computational models in order to investigate cortical folding. This review aims to summarize these studies, focusing on five essential elements of the brain that affect development and gyrification and how they are represented in computational models. Finally, we highlight areas of need for future simulations of brain development. [PDF]
Bibliography
Bibliography
Preprints
Consolini J, Bogner EA, Sahr M, Koff MF, Koch KM, Potter HG. Automated Angular Measurements Extracted from Zero Echo Time Magnetic Resonance Images Using Deep Learning Image Segmentation and Geometric Modeling. arXiv. 2026; DOI: 10.48550/arXiv.2608.07368
Peer-Reviewed Journal
Tan AH, Consolini J, Lowe AS, Koff MF, Tan ET, Potter HG. Automated Deep-Learning Segmentation as Diagnostic Tool for Tendinosis of the Extensor Carpi Radialis Brevis Tendon. Tomography. 2026; In-Review.
Koretsky EG, Singh D, Consolini J, Mandava S, Carl M, Fung M, Potter HG, Koff MF. Deep Learning-Enhanced Zero Echo Time MRI for Femoral Cortical Bone Quantification: A Technical Validation Against CT. Magnetic Resonance Imaging. 2026; 133:110748 DOI: 10.1016/j.mri.2026.110748
Consolini J, Koch KM, Koretsky EG, Potter HG, Koff MF. Radiograph-Based Radiomics Successfully Classify MRI-based Identification of Femoral Loosening in Patients with Total Hip Arthroplasty – A Preliminary Study. Journal of Orthopeadic Research. 2025; 44(1):e70120. DOI: 10.1002/jor.70120
Consolini J, Koch KM, Koretsky EG, Potter HG, Koff MF. Multi-Spectral MRI-Based Radiomic Features Can Classify Femoral Loosening in Patients with Total Hip Arthroplasty. Journal of Orthopeadic Research. 2025; 44(1):e70101. DOI: 10.1002/jor.70101
Consolini J, Koch KM, Burge AJ, Xia E, Majumdar S, Gold GE, Potter HG, Koff MF. Exploratory Analysis of Infrapatellar Fat Pad MRI-Based Radiomics for Detection of Knee Structure Abnormalities in Collegiate Basketball and Swimming Athletes. Osteoarthritis Imaging. 2025; 5(4):100379. DOI: 10.1016/j.ostima.2025.100379
Consolini J, Oberman AG, Sayut J, Damen FW, Goergen CJ, Ravosa MJ, Holland MA. Investigation of Direction- and Age-Dependent Prestretch in Mouse Cranial Dura Mater. Biomechanics and Modeling in Mechanobiology. 2024; 23:721-735. DOI: 10.1007/s10237-023-01802-6
Consolini J, Demirci N, Fulwider A, Hustler JJ, Holland MA. Bok’s Equi-volume Principle: Translation, Historical Context, and a Modern Perspective. Brain Multiphysics. 2022; 3:100057. DOI: 10.1016/j.brain.2022.100057
Darayi M, Hoffman ME, Sayut J, Wang S, Demirci N, Consolini J, Holland MA. Computational Models of Cortical Folding: A Review of Common Approaches. 2021; 139:110851. DOI: 10.1016/j.jbiomech.2021.110851
Conference Podium Presentations
Consolini J, Bogner EA, Sahr M, Koff MF, Koch KM, Potter HG. Automated Hip Angle Measurement from Zero Echo Time MRI Agrees with Expert Manual Readings. International Society of Magnetic Resonance in Medicine Workshop on Musculoskeletal MRI: New Technical Advances and Unmet Needs. 2026. In-Review.
Consolini J, Benitez S, Bogner EA, Lan R, Butler APH, Clark JA, Koff MF. MARS Extremity Spectral Photon-Counting CT Meets Image Quality of Large-bore Multi-Detector CT. 8th Workshop on Medical Applications of Spectroscopic X-ray Detectors. 2026. Session: Clinical and Pre-Clinical. Presentation # 13.
Consolini J, Koretsky EG, Koch KM, Potter HG, Koff MF. Radiograph-Based Radiomics Trained on MSI-MRI Evaluation of Femoral Loosening in Patients with Total Hip Arthroplasty Improves Sensitivity of Standard Radiographical Assessments of Implant Integration. Orthopaedic Research Society 2026. Session: Imaging Techniques for Bone and Cartilage. Presentation #: 103.
Consolini J, Koretsky EG, Potter HG, Koff MF. MRI-Based Radiomic Analysis of Trabecular Bone Surrounding Total Hip Arthroplasty in Femoral Loosening and Asymptomatic Patients. International Society of Magnetic Resonance in Medicine 2025. Session: Data Post-Processing. Presentation #: 1053. DOI: 1053
Conference Poster Presentations
Consolini J, Koch KM, Potter HG, Koff MK. MRI-Based Reference Standards Enable Radiograph Radiomics to Identify Poor Implant Integration After Total Hip Arthroplasty. International Society of Magnetic Resonance in Medicine Workshop on Musculoskeletal MRI: New Technical Advances and Unmet Needs. 2026. In-Review.
Mango E, Consolini J, Koff MK, Ling DC, Potter HG, Koch KM. Automated 4D Dynamic MRI Pipeline Metrics Correlate with Morphological Analysis of Patellofemoral Instability. International Society of Magnetic Resonance in Medicine Workshop on Musculoskeletal MRI: New Technical Advances and Unmet Needs. 2026. In-Review.
Consolini J, Koch KM, Potter HG, Koff MF. MRI-Based Radiomic Features Can Detect Femoral Component Loosening in Patients with Total Hip Arthroplasty. Orthopaedic Research Society 2026. Poster #: 1724.
Berube EE, Consolini J, Koretsky EG, Jones D, Chiaia T, Pearle A, Wickiewicz T, Rodeo S, Nawabi DH, Potter HG, Koff MF, Imhauser CW. Temporal Changes in ACL Graft Structure and Composition and Knee Laxity Assessed via Quantitative MRI and a Novel Multiplanar Arthrometer. Orthopaedic Research Society 2026. Poster #: 1215.
Yeh PC, Lee TL, Ranga S, Carballo CB, Oliver D, Henderson A, Consolini J, Koff MF, Maher SA, Hollis PG, Marx RG, Rodeo SA. Longitudinal Serum and Urine Proteomic Signatures Predict Early Cartilage Change in MRI Following Arthroscopic Partial Meniscectomy. Orthopaedic Research Society 2026. Poster #: 399.
Letendre S, Leatherman E, Chastain K, Consolini J, Rodeo S, Maher S, Koff MF. Changes of Loaded T1ρ and T2 Outcomes Following Partial Meniscectomy. Orthopaedic Research Society 2026. Poster #: 1877.
Consolini J, Koretsky EG, Potter HG, Koff MF. A Longitudinal Analysis of MRI-Based Radiomics of Trabecular Bone Surrounding Total Hip Arthroplasty. International Society of Magnetic Resonance in Medicine 2025. Poster #: 2880. DOI: 2880
Consolini J, Koretsky EG, Potter HG, Koff MF. A Longitudinal Analysis of MRI Texture of Trabecular Bone Surrounding Total Hip Arthroplasty. Orthopeadic Research Society 2025. Poster #: 609. Virtual Presentation Link.
Consolini J, Koretsky EG, Potter HG, Koff MF. A Longitudinal Analysis of Radiographic Texture of Trabecular Bone Surrounding Total Hip Arthroplasty. Orthopeadic Research Society 2025. Poster #: 610. Virtual Presentation Link.
Consolini J, Breighner R, Gold G, Majumdar S, Potter HG, Koff MF. Texture Analysis of the Infrapatellar Fat Pad Within and Between Collegiate Basketball and Swimming Athletes. International Society of Magnetic Resonance in Medicine 2024. Poster #: 2290. DOI: https://submissions.mirasmart.com/ISMRM2024/ViewSubmissionTeaser.aspx
Consolini J, Holland MA. Investigation of Law of Volume Constancy in Cortical Lamina. American Physical Society March Meeting 2022. Poster #: N00.00303. DOI: https://meetings.aps.org/Meeting/MAR22/Session/N00.303
Consolini J, Saboori P. Inflating-Pulsating Gloves: A New Treatment for Infantile Cystic Fibrosis. International Mechanical Engineering Congress & Exposition 2019. Poster #: IMECE2019-13327.
Saboori P, Consolini J, Schoonover ME. Neck Loading Model of a Child in a Car Seat. International Mechanical Engineering Congress & Exposition 2019. Poster #: IMECE2019-13321.
Internal & Academic Presentations
Consolini J, Breighner RE, Gold G, Majumdar S, Potter HG, Koff MF. Texture Analysis of the Infrapatellar Fat Pad Within and Between Collegiate Basketball and Swimming Athletes. CAMEO Retreat 2024. Poster #: 3.
Consolini J, Breighner RE, Gold G, Majumdar S, Potter HG, Koff MF. Texture Analysis of the Infrapatellar Fat Pad Within and Between Collegiate Basketball and Swimming Athletes. HSS Research Day 2024. Poster #: M31.
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