Daniel T. Boll

ORCID: 0000-0001-8806-5826
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About
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Research Areas
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Advanced MRI Techniques and Applications
  • MRI in cancer diagnosis
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Liver Disease Diagnosis and Treatment
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Prostate Cancer Diagnosis and Treatment
  • Radiology practices and education
  • Gallbladder and Bile Duct Disorders
  • Pediatric Hepatobiliary Diseases and Treatments
  • Pancreatic and Hepatic Oncology Research
  • Liver Disease and Transplantation
  • Atomic and Subatomic Physics Research
  • Advanced Neuroimaging Techniques and Applications
  • Aortic aneurysm repair treatments
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Ultrasound and Hyperthermia Applications
  • Prostate Cancer Treatment and Research
  • Medical Image Segmentation Techniques
  • Welding Techniques and Residual Stresses
  • Ultrasound in Clinical Applications
  • AI in cancer detection

University Hospital of Basel
2016-2025

University of Basel
2018-2024

Hospital Base
2021

Cornell University
2019

New York University
2019

Duke University Hospital
2008-2017

Duke Medical Center
2008-2017

University of Washington
2016

Massachusetts General Hospital
2010-2016

Siemens Healthcare (United States)
2016

Purpose To present a deep learning segmentation model that can automatically and robustly segment all major anatomic structures on body CT images. Materials Methods In this retrospective study, 1204 examinations (from 2012, 2016, 2020) were used to 104 (27 organs, 59 bones, 10 muscles, eight vessels) relevant for use cases such as organ volumetry, disease characterization, surgical or radiation therapy planning. The images randomly sampled from routine clinical studies thus represent...

10.1148/ryai.230024 article EN Radiology Artificial Intelligence 2023-07-05

Dual-energy CT provides information about how substances behave at different energies, the ability to generate virtual unenhanced datasets, and improved detection of iodine-containing on low-energy images. Knowing a substance behaves two energies can provide tissue composition beyond that obtainable with single-energy techniques. The term K edge refers spike in attenuation occurs energy levels just greater than K-shell binding because increased photoelectric absorption these levels. K-edge...

10.1148/rg.304095175 article EN Radiographics 2010-07-01

We present a deep learning segmentation model that can automatically and robustly segment all major anatomical structures in body CT images. In this retrospective study, 1204 examinations (from the years 2012, 2016, 2020) were used to 104 (27 organs, 59 bones, 10 muscles, 8 vessels) relevant for use cases such as organ volumetry, disease characterization, surgical or radiotherapy planning. The images randomly sampled from routine clinical studies thus represent real-world dataset (different...

10.48550/arxiv.2208.05868 preprint EN other-oa arXiv (Cornell University) 2022-01-01

Purpose: To prospectively evaluate the capability of noninvasive, simultaneous dual-energy (DE) multidetector computed tomography (CT) to improve characterization human renal calculi in an anthropomorphic DE phantom by introducing advanced postprocessing techniques, with ex vivo stone spectroscopy as reference standard. Materials and Methods: Fifty were assessed: Thirty stones pure crystalline composition (uric acid, cystine, struvite, calcium oxalate, phosphate, brushite), 20...

10.1148/radiol.2503080545 article EN Radiology 2009-02-24

To intraindividually compare a low tube voltage (80 kVp), high current computed tomographic (CT) technique with standard CT protocol (140 kVp) in terms of image quality, radiation dose, and detection malignant hypervascular liver tumors during the late hepatic arterial phase.This prospective single-center HIPAA-compliant study had institutional review board approval, written informed consent was obtained. Forty-eight patients (31 men, 17 women; age range, 35-77 years) 60 (mean diameter, 20.1...

10.1148/radiol.2513081330 article EN Radiology 2009-04-03

To test the hypothesis that there is no significant variability in apparent diffusion coefficients (ADCs) at assessment of short- and midterm reproducibility ADC measurements a healthy population.Twenty male volunteers were enrolled this prospective institutional review board-approved study after they provided written informed consent. A 3.0-T magnetic resonance (MR) system was used to perform five axial diffusion-weighted (DW) abdominal acquisitions (session 1). mean 147 days +/- 20...

10.1148/radiol.2502080849 article EN Radiology 2008-12-19

The purpose of this study is to determine what effects a variety diffusion encoding techniques at 1.5 T and 3 have on measured abdominal apparent coefficient (ADC) values obtained in healthy population.Sixteen male volunteers were enrolled prospective Institutional Review Board-approved following written informed consent. Imaging was performed magnetic resonance system (Siemens, Erlangen) with several axial weighted imaging (DWI) acquisitions: an orthogonal b-values 0/400 seconds/mm, series...

10.1097/rli.0b013e3181c8ceac article EN Investigative Radiology 2010-01-15

Purpose To compare the inter- and intraobserver variability with manual region of interest (ROI) placement versus that software-assisted semiautomatic lesion segmentation histogram analysis respect to quantitative dynamic contrast material–enhanced (DCE) MR imaging determinations volume transfer constant (Ktrans). Materials Methods The study was approved by institutional review board compliant HIPAA. requirement obtain informed consent waived. Fifteen DCE studies female pelvis defined group....

10.1148/radiol.12120255 article EN Radiology 2012-12-07

To test the reproducibility of model-derived quantitative and semiquantitative pharmacokinetic parameters among various commercially available perfusion analysis solutions for dynamic contrast material-enhanced (DCE) magnetic resonance (MR) imaging.The study was institutional review board approved HIPAA compliant, with waiver informed consent granted. The group consisted 15 patients (mean age, 44 years; range, 28-60 years), consecutive 1.5-T DCE MR imaging studies performed between October...

10.1148/radiol.12120278 article EN Radiology 2012-12-07

The purpose of our study was to investigate whether virtual unenhanced adrenal nodule attenuation values can replace true noncontrast values.Twenty-three incidentally discovered nodules (19 adenomas and four metastases) were identified in 19 patients (11 men eight women; mean age, 65 years; age range, 38-84 years) who underwent single-energy CT followed by contrast-enhanced dual-energy on the same scanner. A imaging dataset generated from each dataset. measured at location images three...

10.2214/ajr.11.7316 article EN American Journal of Roentgenology 2012-03-26

The aim of this study was to evaluate the effect a deep learning based computer-aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in reading biparametric prostate magnetic resonance imaging scans.We selected 100 consecutive cases from publicly available data set (PROSTATEx Challenge) with without histopathologically confirmed cancer. Seven board-certified radiologists were tasked read each case twice 2 blocks (with assistance DL-CAD), separation between...

10.1097/rli.0000000000000780 article EN Investigative Radiology 2021-03-31

The liver plays several complex but essential roles in the metabolism of amino acids, carbohydrates, and lipids, as well synthesis proteins. basic pathophysiology diffuse parenchymal hepatic diseases usually represents a failure one these metabolic pathways. Specific can be categorized storage, vascular, inflammatory diseases. Cross-sectional imaging techniques, specifically multidetector computed tomography (CT) magnetic resonance (MR) imaging, have evaluation disease. prominent role CT is...

10.1148/rg.296095513 article EN Radiographics 2009-10-01

Dual-Energy CT for Characterization of Adrenal Nodules: Initial ExperienceRajan T. Gupta1, Lisa M. Ho1, Daniele Marin1, Daniel Boll1, Huiman X. Barnhart2 and Rendon C. Nelson1Audio Available | Share

10.2214/ajr.09.3476 article EN American Journal of Roentgenology 2010-05-20

To evaluate the value of hepatobiliary phase imaging for detection and characterization hepatocellular carcinoma (HCC) in liver MRI with Gd-EOB-DTPA, a North American population.One hundred examinations performed intravenous injection Gd-EOB-DTPA patients cirrhosis were reviewed retrospectively. Nodules classified as HCC (n = 70), indeterminate 33), or benign 22). Five readers independently each examination without images (HBP). Lesion conspicuity scores compared between two readings....

10.1002/jmri.23818 article EN Journal of Magnetic Resonance Imaging 2012-09-25

To determine whether dual-energy multidetector CT enables detection of renal lesion enhancement by using calculated nonenhanced images with spectral-based extraction in a non-body weight-restricted patient population.Between January 2008 and December 2009, 139 patients were enrolled this prospective HIPAA-compliant, institutional review board-approved study. Written informed consent was obtained from all patients. After single-energy 120-kVp acquired, contrast material-enhanced acquired at...

10.1148/radiol.10101170 article EN Radiology 2011-02-04

The aim of this study was to test the diagnostic performance a deep learning-based triage system for detection acute findings in abdominal computed tomography (CT) examinations.Using RIS/PACS (Radiology Information System/Picture Archiving and Communication System) search engine, we obtained 100 consecutive CTs with at least one following findings: free-gas, free-fluid, or fat-stranding control cases absence these findings. CT data were analyzed using convolutional neural network algorithm...

10.1097/rli.0000000000000509 article EN Investigative Radiology 2018-09-08

In this study, we registered live-time interventional magnetic resonance imaging (iMRI) slices with a previously obtained high-resolution MRI volume that in turn can be variety of functional images, e.g., PET, SPECT, for tumor targeting. We created and evaluated slice-to-volume (SV) registration algorithm special features its potential use iMRI-guided radio-frequency (RF) thermal ablation prostate cancer. The included multiresolution approach, two similarity measures, automatic restarting to...

10.1109/tmi.2003.809078 article EN IEEE Transactions on Medical Imaging 2003-04-01

Purpose: To evaluate whether dual-energy multidetector computed tomography (CT) with image postprocessing techniques enhances accuracy of calcified plaque quantification beyond the scope single-energy CT, by using optical coherence (OCT) as reference standard. Materials and Methods: Four atherosclerotic specimens were examined 64-section CT a novel dual-detector "double-decker" design, stacked high- low-energy detector arrays 32 × 0.625-mm collimation, at 140 kVp 400 mAs, acquiring...

10.1148/radiol.2483071576 article EN Radiology 2008-08-19

The purpose of our study was to prospectively assess 40-MDCT technology in combination with adapted brain reconstruction algorithms visualize the spinal vasculature, particular artery Adamkiewicz and its anatomic variants.One hundred patients underwent contrast-enhanced MDCT thoracolumbar junction collimation 40 x 0.625 mm. algorithm reconstructed canal a field view 90 mm at 0.6-mm slice thickness. Curved multiplanar reformations identified as continuous vascular tract extending from aortic...

10.2214/ajr.05.0562 article EN American Journal of Roentgenology 2006-09-19
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