Ashkan Pakzad

ORCID: 0000-0002-0802-5590
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About
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Research Areas
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Long-Term Effects of COVID-19
  • Inhalation and Respiratory Drug Delivery
  • Lung Cancer Diagnosis and Treatment
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Intensive Care Unit Cognitive Disorders
  • Voice and Speech Disorders
  • Cystic Fibrosis Research Advances
  • COVID-19 Clinical Research Studies
  • COVID-19 and Mental Health
  • COVID-19 diagnosis using AI
  • Neurological disorders and treatments
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Respiratory Support and Mechanisms
  • Radiomics and Machine Learning in Medical Imaging
  • Bacterial Infections and Vaccines
  • Occupational exposure and asthma
  • Trigeminal Neuralgia and Treatments
  • Genetic Neurodegenerative Diseases
  • Frailty in Older Adults
  • Speech Recognition and Synthesis
  • Bone and Joint Diseases
  • Attention Deficit Hyperactivity Disorder
  • Paleopathology and ancient diseases
  • Fetal and Pediatric Neurological Disorders

University College London
2018-2024

Pain and Headache Center
2023

National Hospital for Neurology and Neurosurgery
2023

Wellcome Centre for Human Neuroimaging
2023

Engineering and Physical Sciences Research Council
2023

John Wiley & Sons (United States)
2023

Small airway disease is an important pathophysiological feature of chronic obstructive pulmonary (COPD). Recently, "pre-COPD" has been put forward as a potential precursor stage COPD that defined by abnormal spirometry findings or significant emphysema on computed tomography (CT) in the absence airflow obstruction.

10.1164/rccm.202301-0132oc article EN American Journal of Respiratory and Critical Care Medicine 2023-12-06

Abnormal airway dilatation, termed traction bronchiectasis, is a typical feature of idiopathic pulmonary fibrosis (IPF). Volumetric computed tomography (CT) imaging captures the loss normal tapering in IPF. We postulated that automated quantification abnormalities could provide estimates IPF disease extent and severity. propose AirQuant, an computational pipeline takes segmentation CT image as input systematically parcellates tree into its lobes generational branches, deriving structural...

10.1080/21681163.2024.2325361 article EN cc-by Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization 2024-03-31

Abstract Objectives The study examined whether quantified airway metrics associate with mortality in idiopathic pulmonary fibrosis (IPF). Methods In an observational cohort ( n = 90) of IPF patients from Ege University Hospital, analysis tool AirQuant calculated median intersegmental tapering and segmental tortuosity across the 2nd to 6th generations. Intersegmental measures difference diameter between adjacent segments. Tortuosity evaluates ratio measured length against direct end-to-end...

10.1007/s00330-023-09914-4 article EN cc-by European Radiology 2023-07-28

The Antikythera Mechanism is an extraordinarily complex ancient Greek astronomical calculating device whose mode of operation now relatively well understood particularly since imaging studies in 2005 revealed gears and inscriptions which were previously illegible. Unfortunately, the highest resolution X-ray computed tomography image largest fragment had some errors meant that reconstructed images not as clear been expected. Here, original data have reanalysed reconstructed. new improved...

10.1371/journal.pone.0207430 article EN cc-by PLoS ONE 2018-11-09

Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role clinical applications. However, most existing methods concentrate only on PA or branch separately ignore efficiency. Besides, there is no public large-scale dataset focused segmentation, which makes it highly challenging to compare the different methods. To benchmark algorithms, we organized first \textbf{P}ulmonary \textbf{AR}tery \textbf{SE}gmentation...

10.48550/arxiv.2304.03708 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Abstract The morphology and distribution of airway tree abnormalities enable diagnosis disease characterisation across a variety chronic respiratory conditions. In this regard, segmentation plays critical role in the production outline entire to estimation extent severity. Furthermore, complete is challenging as intensity, scale/size shape segments their walls change generations. existing classical techniques either provide an undersegmented or oversegmented tree, manual intervention...

10.1186/s40537-024-00974-x article EN cc-by Journal Of Big Data 2024-08-04

Deep brain stimulation (DBS) of the ventral tegmental area (VTA) is a surgical treatment option for selected patients with refractory chronic cluster headache (CCH). We aimed to identify clinical and structural neuroimaging factors associated response VTA DBS in CCH.

10.1212/wnl.0000000000207750 article EN Neurology 2023-10-17

Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended reach of pulmonary airway segmentation that is closer to limit resolution. Since EXACT'09 segmentation, limited effort has been directed quantitative comparison newly emerged algorithms driven by maturity deep learning based approaches clinical drive resolving finer details distal airways early intervention diseases. Thus...

10.48550/arxiv.2303.05745 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Abstract Patient-specific targeting of the Ventral intermediate nucleus (Vim) thalamus can be achieved with MR connectivity. Nevertheless, there are several drawbacks to using tractography-based methods visualise distinct thalamic nuclei (e.g., subjective region interest selection, and thresholding resulting tracts clusters). Fractional anisotropy (FA) mapping, another product diffusion MRI (dMRI), does not rely on tractography, could thus clinically more viable for discerning anatomy...

10.1162/imag_a_00139 article EN cc-by Imaging Neuroscience 2024-04-01

<b>Aims and Objectives:</b> To investigate differences in airway morphology on computed tomography (CT) imaging patients with idiopathic pulmonary fibrosis (IPF) compared to healthy subjects. <b>Methods:</b> Airway segmentations were derived from CT scans 14 IPF subjects examined using AirQuant, an open-source software tool. Diameters lengths of segments (representing between branching or endpoints) measured. These used derive the median intertapering (change average segment diameter parent)...

10.1183/13993003.congress-2022.2547 article EN Imaging 2022-09-04

Abnormal airway dilatation, termed traction bronchiectasis, is a typical feature of idiopathic pulmonary fibrosis (IPF). Volumetric computed tomography (CT) imaging captures the loss normal tapering in IPF. We postulated that automated quantification abnormalities could provide estimates IPF disease extent and severity. propose AirQuant, an computational pipeline systematically parcellates tree into its lobes generational branches from deep learning based segmentation, deriving structural...

10.48550/arxiv.2111.10443 preprint EN cc-by arXiv (Cornell University) 2021-01-01

Abstract Objectives The study was to examine whether the airway metrics associate with mortality in IPF patients. Methods We performed an observational cohort (n=90) of patients identified from Ege University Hospital. An analysis tool AirQuant calculated median segmental intertapering and tortuosity across 2 nd 6 th generations airways. Intertapering measures difference diameter between adjacent segments. Tortuosity evaluates ratio measured length against direct end- to-end length....

10.1101/2023.03.29.23287913 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2023-03-31

The morphology and distribution of airway tree abnormalities enables diagnosis disease characterisation across a variety chronic respiratory conditions. In this regard, segmentation plays critical role in the production outline entire to enable estimation extent severity. study, we propose data-centric deep learning technique segment tree. proposed utilises interpolation image split improve data usefulness quality. Then, an ensemble strategy is implemented aggregate segmented trees at...

10.48550/arxiv.2308.00008 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

Tremor in Parkinson's disease (PD) has an inconsistent response to levodopa and subthalamic deep brain stimulation (STN-DBS). To identify predictive factors of PD tremor responsiveness STN-DBS. patients with upper limb who underwent STN-DBS were included. The (overall, postural, rest sub-components), was assessed using the relevant Unified Disease Rating Scale-III items performed during preoperative assessment. Post-surgical outcomes similarly ON OFF stimulation. A score for rest/postural...

10.1002/mdc3.13876 article EN Movement Disorders Clinical Practice 2023-08-31

Several chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) are characterised by abnormal dilatation of the airways. Quantification airway features on computed tomography (CT) can help characterise disease progression. Physics based measurement algorithms have been developed, but met with limited success in part due to sheer diversity morphology seen clinical practice. Supervised learning methods also not feasible high cost obtaining precise annotations. We propose synthesising...

10.48550/arxiv.2208.14141 preprint EN cc-by arXiv (Cornell University) 2022-01-01

<b>Aims and Objectives:</b> Visual estimation of traction bronchiectasis severity in Idiopathic Pulmonary Fibrosis (IPF) associates with mortality. We examined whether computational analysis IPF airways also <b>Methods:</b> Airway segmentations derived from volumetric CT scans n=77 patients diagnosed by a multi-disciplinary team Ege University Hospital, Turkey were using AirQuant, an open-source software tool. Measurements airway segment (distance between branching or endpoints) diameters...

10.1183/13993003.congress-2022.2882 article EN Imaging 2022-09-04
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