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Rajendran, Kishore

0000-0002-8314-3642

Mayo Clinic

Department of Radiology, Mayo Clinic, Rochester, MN 55905, United States.

Citations 17

First Clinical Photon-counting Detector CT System: Technical Evaluation

Radiology | December 14, 2021 | Volume: 303 | Issue: 1 | Pages: 130-138

10.1148/radiol.212579 | PMID 34904876

Full field-of-view, high-resolution, photon-counting detector CT: technical assessment and initial patient experience

Physics in Medicine & Biology | July 16, 2021 | Volume: 66 | Issue: 20 | Pages: 205019

10.1088/1361-6560/ac155e | PMID 34271558

Abstract We report a comprehensive evaluation of a full field-of-view (FOV) photon-counting detector (PCD) computed tomography (CT) system using phantoms, and qualitatively assess image quality in patient examples. A whole-body PCD-CT system with 50 cm FOV, 5.76 cm z-detector coverage and two acquisition modes (standard: 144 × 0.4 mm collimation and ultra-high resolution (UHR): 120 × 0.2 mm collimation) was used in this study. Phantoms were scanned to assess image uniformity, CT number accuracy, noise power spectrum, spatial resolution, material decomposition and virtual monoenergetic imaging (VMI) performance. Four patients were scanned on the PCD-CT system with matched or lower radiation dose than their prior clinical CT scans performed using energy-integrating detector (EID) CT, and the potential clinical impact of PCD-CT was qualitatively evaluated. Phantom results showed water CT numbers within ±5 HU, and image uniformity measured between peripheral and central regions-of-interests to be within ±5 HU. For the UHR mode using a dedicated sharp kernel, the cut-off spatial frequency was 40 line-pairs cm −1 , which corresponds to a 125 μ m limiting in-plane spatial resolution. The full-width-at-half-maximum for the section sensitivity profile was 0.33 mm for the smallest slice thickness (0.2 mm) using the UHR mode. Material decomposition in a multi-energy CT phantom showed accurate material classification, with a root-mean-squared-error of 0.3 mg cc −1 for iodine concentrations (2–15 mg cc −1 ) and 14.2 mg cc −1 for hydroxyapatite concentrations (200 and 400 mg cc −1 ). The average percent error for CT numbers corresponding to the iodine concentrations in VMI (40–70 keV) was 2.75%. Patient PCD-CT images demonstrated better delineation of anatomy for chest and temporal bone exams performed with the UHR mode, which allowed the use of very sharp kernels not possible with EID-CT. VMI and virtual non-contrast images generated from a patient head CT angiography exam using the standard acquisition mode demonstrated the multi-energy capability of the PCD-CT system.
Deep-learning-based direct synthesis of low-energy virtual monoenergetic images with multi-energy CT

Journal of Medical Imaging | April 19, 2021 | Volume: 8 | Issue: 05 | Pages: No page available

10.1117/1.jmi.8.5.052104 | PMID 33889658

Impact of prior information on material decomposition in dual- and multienergy computed tomography

Journal of Medical Imaging | March 29, 2019 | Volume: 6 | Issue: 01 | Pages: 1

10.1117/1.jmi.6.1.013503 | PMID 30891466

150-μm Spatial Resolution Using Photon-Counting Detector Computed Tomography Technology

Investigative Radiology | May 31, 2018 | Volume: 53 | Issue: 11 | Pages: 655-662

10.1097/rli.0000000000000488 | PMID 29847412

Objective The aims of this study were to quantitatively assess two new scan modes on a photon-counting detector computed tomography system, each designed to maximize spatial resolution, and to qualitatively demonstrate potential clinical impact using patient data. Materials and Methods This Health Insurance Portability Act–compliant study was approved by our institutional review board. Two high–spatial-resolution scan modes (Sharp and UHR) were evaluated using phantoms to quantify spatial resolution and image noise, and results were compared with the standard mode (Macro). Patients were scanned using a conventional energy-integrating detector scanner and the photon-counting detector scanner using the same radiation dose. In first patient images, anatomic details were qualitatively evaluated to demonstrate potential clinical impact. Results Sharp and UHR modes had a 69% and 87% improvement in in-plane spatial resolution, respectively, compared with Macro mode (10% modulation-translation-function values of 16.05, 17.69, and 9.48 lp/cm, respectively). The cutoff spatial frequency of the UHR mode (32.4 lp/cm) corresponded to a limiting spatial resolution of 150 μm. The full-width-at-half-maximum values of the section sensitivity profiles were 0.41, 0.44, and 0.67 mm for the thinnest image thickness for each mode (0.25, 0.25, and 0.5 mm, respectively). At the same in-plane spatial resolution, Sharp and UHR images had up to 15% lower noise than Macro images. Patient images acquired in Sharp mode demonstrated better delineation of fine anatomic structures compared with Macro mode images. Conclusions Phantom studies demonstrated superior resolution and noise properties for the Sharp and UHR modes relative to the standard Macro mode and patient images demonstrated the potential benefit of these scan modes for clinical practice.
Measuring arterial wall perfusion using photon-counting computed tomography (CT): improving CT number accuracy of artery wall using image deconvolution

Journal of Medical Imaging | December 8, 2017 | Volume: 4 | Issue: 04 | Pages: 1

10.1117/1.jmi.4.4.044006 | PMID 29250564

Detection of increased vasa vasorum in artery walls: improving CT number accuracy using image deconvolution

SPIE Proceedings | March 9, 2017 | Volume: 10132 | Issue: No issue available | Pages: 101323O

10.1117/12.2255676 | PMID 28413240